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Relevant bibliographies by topics / Variant solution

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Academic literature on the topic 'Variant solution'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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Journal articles on the topic "Variant solution"

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Singh, Narinder, and S. B. Singh. "Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance." Journal of Applied Mathematics 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/2030489.

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A newly hybrid nature inspired algorithm called HPSOGWO is presented with the combination of Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO). The main idea is to improve the ability of exploitation in Particle Swarm Optimization with the ability of exploration in Grey Wolf Optimizer to produce both variants’ strength. Some unimodal, multimodal, and fixed-dimension multimodal test functions are used to check the solution quality and performance of HPSOGWO variant. The numerical and statistical solutions show that the hybrid variant outperforms significantly the PSO and GWO variants in terms of solution quality, solution stability, convergence speed, and ability to find the global optimum.

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Ram Babu, D., A. Lenin, and G. B. Bhaskar. "Advanced Product Configuration in Manufacturing Using Enterprise Resource Planning Variant Configuration with Optimization in Manufacturing and Assembly Processes." Applied Mechanics and Materials 591 (July 2014): 94–97. http://dx.doi.org/10.4028/www.scientific.net/amm.591.94.

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. Variant Configuration is one of the advanced functions of the System Application and Product in data processing (SAP) business process solutions. Many enterprises, particularly from the complex production industry, can be benefited from the use of Variant Configuration. This paper demonstrates on how a product configuration is performed for a complex variable product using SAP variant configuration. The automotive pump manufacturing was as complex configurable product that involves different variants of the product. This artifact also explains on how we leverage the SAP Variant configuration functionality and achieving complex variant pump configuration with simplified solution.

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Peldschus, Friedel. "MULTIPLE-CRITERIA ANALYSIS IN THE CONSTRUCTION OF MOTORWAYS." Technological and Economic Development of Economy 11, no. 1 (March 31, 2005): 32–35. http://dx.doi.org/10.3846/13928619.2005.9637680.

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Several construction variants are discussed for the extension of the motorway network in Thuringia (Germany). The best variant is determined according to several criteria: construction period, costs, durability, environmental protection and economic viability. After the characterisation of the considered construction solutions a numerical comparison is made using the software LEVI 3.0. Thereby the optimal variant is chosen taking into account the mentionned criteria and the solution is explained.

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Kueffner, Robert, Hui Li, Kakit Cheung, Marc Fink, Zachry Soens, Jinlian Wang, Osman Siddiqui, et al. "VONC: A solution for the clinical assessment of somatic genomic alterations." Journal of Clinical Oncology 37, no. 15_suppl (May 20, 2019): e13155-e13155. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e13155.

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e13155 Background: Next generation sequencing (NGS) technology is transforming the diagnosis and treatment of cancer. However, the massive scale of data has overwhelmed pathologists who need streamlined tools to process this data, automate report generation and minimize human errors. Methods: We developed the Variant interpretation station for ONCology, VONC, as an end-to-end solution for moving from NGS whole exome and transcriptome data to actionable clinical reports that support cancer diagnosis, prognosis, and personalized treatment strategies for solid and hematologic malignancies. Results: VONC integrates all steps for moving from raw NGS data, variant calling and LIMS, to comprehensive annotation of variants. The main functional feature of VONC is a transparent process that effectively combines automated and expert curation to identify clinically relevant and actionable driver variants. VONC also enables efficient management of multi-group, -role, -system and -site curation processes. In contrast to current tools, VONC handles all somatic and constitutional genomic alterations including SNV, indel, CNV, fusion, splicing, and gene expression. Key data sources include 1) 350,000 variants for 50 tumor types across 57,000 sequenced cancer patients; 2) variant frequencies estimated from 1.5M cancer patients; 3) expert curated literature evidence from 16,818 papers covering 26,496 alterations spanning 2,448 cancer driver genes; and 4) curated database of FDA-approved drugs and recruiting clinical trials. VONC presents a prioritized list of variants in oncogenes and tumor suppressors through functional (literature-based) and structure-based (hotspots) algorithms. This is coupled to all supporting information necessary for clinical decision making. Curators can quickly screen variant type, QC metrics, and frequency in sequencing cohorts of cancer patients as well as healthy subjects. Within minutes, variants can be triaged and annotated with FDA approved, NCCN guidelines reported, or literature supported therapeutics, including resistance and contraindicated. Conclusions: VONC is a clinically-ready tool with an intuitive end-user interface tailored for the rapid assessment of variants in cancer patients, to facilitate personalized cancer medicine in a high-throughput laboratory.

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Jabbari, A., H. Kheiri, and A. Bekir. "Analytical solution of variant Boussinesq equations." Mathematical Methods in the Applied Sciences 37, no. 6 (June 19, 2013): 931–36. http://dx.doi.org/10.1002/mma.2853.

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Iwaszko, J., M. Strzelecka, and K. Kudła. "Surface modification of AZ91 magnesium alloy using GTAW technology." Bulletin of the Polish Academy of Sciences Technical Sciences 65, no. 6 (December 1, 2017): 917–26. http://dx.doi.org/10.1515/bpasts-2017-0099.

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AbstractIn this study, surface remelting treatment of the AZ91 magnesium alloy by means of welding using a non-consumable electrode in an inert gas shield was carried out. Three variants of surface treatment were used, i.e. the single torch variant with a single heat source without cooling down the samples, the single torch variant with a single heat source and a cooling system with liquid nitrogen, and the double welding torch variant with a double heat source in the torches operating in a tandem configuration. Experimental verification of the applied apparatus solutions was based on both macro- and microstructural assessment of the obtained effects. Comparative analysis of the variants used and the obtained microstructural results allowed the authors to indicate the deficiencies and limitations of particular solutions and to single out the best solution that would be useful for modifying the surface layers of magnesium alloys, as well as other materials having a strong oxygen affinity.

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Chanyshev, Anvar, and Ilgizar Abdulin. "TWO VARIANTS OF OUT-OF-LIMIT DEFORMATION OF SOLID AROUND WORKING." Interexpo GEO-Siberia 2, no. 5 (2019): 81–88. http://dx.doi.org/10.33764/2618-981x-2019-2-5-81-88.

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In the paper stress-strain behavior of solid around working in case of out-of-limit deformation when flat strain occurs is studied. Two limit variants are considered: when modulus of volumetric compression has much more value than modulus of decrease and vice a versa. In the first variant sizes of solid destruction zone are obtained, depending on limit strains of elasticity and strength of solid material. In the second variant solution at destruction zone differs from traditional elastic plastic solutions by maximal tangential stress increases with increasing of distance from working contour.

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Radomski, Bartosz, and Tomasz Mróz. "The Methodology for Designing Residential Buildings with a Positive Energy Balance—Case Study." Energies 14, no. 16 (August 20, 2021): 5162. http://dx.doi.org/10.3390/en14165162.

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The article presents the results of the application of an original methodology for designing residential buildings with a positive energy balance in accordance with the principles of sustainable development. The methodology was verified using a computational example involving the selection of a compromise solution for a single-family residential building with a positive energy balance located in Warsaw, Poland. Three different models of decision-makers’ preferences were created, taking into account selected decision sub-criteria. Three technical solutions were identified, permissible according to the principles and guidelines for designing buildings with a positive energy balance. As a result of the performed calculations, the final order of the analyzed variants was obtained, from the most preferred to the least accepted solution. Variant 2 is definitely the most advantageous solution, being the best in a group of 20 to 26 evaluation sub-criteria—depending on the adopted model of the decision-maker’s preferences. Its ranking index Ri ranged from 0.773 to 0.764, while for the other variants it was much lower and varied from 0.258 to 0.268 for variant 1, and from 0.208 to 0.226 for variant 3. The methodology used for the case study proved to be applicable. The developed methodology facilitates the process of designing residential buildings with a positive energy balance, which is an extremely complex process.

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Gollob, Michael, Jeffrey S. Rosenthal, and Kevin Thorpe. "The Probability of Pathogenicity in Clinical Genetic Testing: A Solution for the Variant of Uncertain Significance." International Journal of Statistics and Probability 5, no. 4 (June 11, 2016): 52. http://dx.doi.org/10.5539/ijsp.v5n4p52.

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We present a direct calculation for determining the probability that a rare genetic variant is the cause of an observed disease, under appropriate assumptions, in terms of the joint prevalence of the disease and of rare variants. Our calculation provides a resolution of the so-called ``variant of unknown (or uncertain) significance'' problem, which has plagued medical genetics researchers.

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Zhang, Lipu, Yinghong Xu, and Yousong Liu. "An Elite Decision Making Harmony Search Algorithm for Optimization Problem." Journal of Applied Mathematics 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/860681.

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This paper describes a new variant of harmony search algorithm which is inspired by a well-known item “elite decision making.” In the new algorithm, the good information captured in the current global best and the second best solutions can be well utilized to generate new solutions, following some probability rule. The generated new solution vector replaces the worst solution in the solution set, only if its fitness is better than that of the worst solution. The generating and updating steps and repeated until the near-optimal solution vector is obtained. Extensive computational comparisons are carried out by employing various standard benchmark optimization problems, including continuous design variables and integer variables minimization problems from the literature. The computational results show that the proposed new algorithm is competitive in finding solutions with the state-of-the-art harmony search variants.

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Dissertations / Theses on the topic "Variant solution"

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Konečný, Petr. "Manažerské rozhodování za rizika a za jistoty - výběr firemního sídla." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-124812.

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Sokolová, Eva. "Planetárium." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2013. http://www.nusl.cz/ntk/nusl-226046.

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The master’s thesis object is to create a design of a load carrying steel structure planetarium. Its ground plan dimensions are 36,1 x 49,0 m. The planetarium hall’s roof is designed with system of trusses and purlins. The projection hall’s roof consists of ribbed cupola with radially arched ribs. The stiffness of the whole construction is ensured with bracings. The walls of the whole object are composed of columns, rails and bracings.

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Höök, Lars Josef. "Variance reduction methods for numerical solution of plasma kinetic diffusion." Licentiate thesis, KTH, Fusionsplasmafysik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91332.

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Performing detailed simulations of plasma kinetic diffusion is a challenging task and currently requires the largest computational facilities in the world. The reason for this is that, the physics in a confined heated plasma occur on a broad range of temporal and spatial scales. It is therefore of interest to improve the computational algorithms together with the development of more powerful computational resources. Kinetic diffusion processes in plasmas are commonly simulated with the Monte Carlo method, where a discrete set of particles are sampled from a distribution function and advanced in a Lagrangian frame according to a set of stochastic differential equations. The Monte Carlo method introduces computational error in the form of statistical random noise produced by a finite number of particles (or markers) N and the error scales as αN−β where β = 1/2 for the standard Monte Carlo method. This requires a large number of simulated particles in order to obtain a sufficiently low numerical noise level. Therefore it is essential to use techniques that reduce the numerical noise. Such methods are commonly called variance reduction methods. In this thesis, we have developed new variance reduction methods with application to plasma kinetic diffusion. The methods are suitable for simulation of RF-heating and transport, but are not limited to these types of problems. We have derived a novel variance reduction method that minimizes the number of required particles from an optimization model. This implicitly reduces the variance when calculating the expected value of the distribution, since for a fixed error the optimization model ensures that a minimal number of particles are needed. Techniques that reduce the noise by improving the order of convergence, have also been considered. Two different methods have been tested on a neutral beam injection scenario. The methods are the scrambled Brownian bridge method and a method here called the sorting and mixing method of L´ecot and Khettabi[1999]. Both methods converge faster than the standard Monte Carlo method for modest number of time steps, but fail to converge correctly for large number of time steps, a range required for detailed plasma kinetic simulations. Different techniques are discussed that have the potential of improving the convergence to this range of time steps.
QC 20120314

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Stockbridge, Rebecca. "Bias and Variance Reduction in Assessing Solution Quality for Stochastic Programs." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/301665.

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Stochastic programming combines ideas from deterministic optimization with probability and statistics to produce more accurate models of optimization problems involving uncertainty. However, due to their size, stochastic programming problems can be extremely difficult to solve and instead approximate solutions are used. Therefore, there is a need for methods that can accurately identify optimal or near optimal solutions. In this dissertation, we focus on improving Monte-Carlo sampling-based methods that assess the quality of potential solutions to stochastic programs by estimating optimality gaps. In particular, we aim to reduce the bias and/or variance of these estimators. We first propose a technique to reduce the bias of optimality gap estimators which is based on probability metrics and stability results in stochastic programming. This method, which requires the solution of a minimum-weight perfect matching problem, can be run in polynomial time in sample size. We establish asymptotic properties and present computational results. We then investigate the use of sampling schemes to reduce the variance of optimality gap estimators, and in particular focus on antithetic variates and Latin hypercube sampling. We also combine these methods with the bias reduction technique discussed above. Asymptotic properties of the resultant estimators are presented, and computational results on a range of test problems are discussed. Finally, we apply methods of assessing solution quality using antithetic variates and Latin hypercube sampling to a sequential sampling procedure to solve stochastic programs. In this setting, we use Latin hypercube sampling when generating a sequence of candidate solutions that is input to the procedure. We prove that these procedures produce a high-quality solution with high probability, asymptotically, and terminate in a finite number of iterations. Computational results are presented.

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Pijáčková, Libuše. "Energetický audit občanské stavby." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2016. http://www.nusl.cz/ntk/nusl-240366.

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This master thesis is focused on energy audit of a civil building in regards of the state legislati-on. The purpose of this energy audit is to compare energy properties of this civil building and also to design at least two variations of energy savíng solutions. These solutions are designed regarding an economic and ecological focus of the audit and the variations of energy savings.

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Broderick, Thomas Froats. "The Influence of Microstructure on the Deformation Behavior of Beta Solution Heat Treated and Aged Ti-6Al-2Sn-2Zr-2Mo-2Cr-0.18Si." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1263951781.

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Lescot, Numa. "Réduction de variance pour les sensibilités : application aux produits sur taux d'intérêt." Paris 6, 2012. http://www.theses.fr/2012PA066102.

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This thesis studies variance reduction techniques for the problem of approximating functionals of diffusion processes, motivated by applications in computational finance to derivatives pricing and hedging. The main tool is Malliavin's stochastic calculus of variations, which yields simulatable representations of both sensitivities and the optimal strategy for variance reduction. In the first part we present a unified view of the control variates and importance sampling methodologies, and give a practical factorization of the optimal strategies. We introduce a parametric importance sampling algorithm and carry out its study in detail. To solve the corresponding optimization problem, we validate two procedures based respectively on stochastic approximation and minimizing an empirical counterpart. Several numerical examples are given which highlight the method's potential. In a second part we combine integration by parts with a Girsanov transform to obtain several stochastic representations of sensitivities. Going beyond a strictly elliptic framework, we show on a class of HJM models with stochastic volatility how to efficiently construct a covering vector field in the sense of Malliavin-Thalmaier. The last chapter, of a more applied nature, deals with a practical case of pricing and hedging exotic rates options
Cette thèse est consacrée à des techniques de réduction de variance pour l'approximation de fonctionnelles de processus de diffusion, motivées par l'évaluation et la couverture de produits dérivés en mathématiques financières. Notre principal outil est le calcul de Malliavin, qui donne des expressions simulables des sensibilités et de la stratégie optimale de réduction de variance. Dans une première partie on donne une présentation unifiée des méthodes de variables de controle et d'échantillonage préférentiel, ainsi qu'une factorisation opératoire des stratégies optimales. On introduit un algorithme d'échantillonnage préférentiel paramétrique dont on mène l'étude détaillée. Pour résoudre le problème d'optimisation associé, nous validons deux procédures basées respectivement sur l'approximation stochastique et la minimisation du critère empirique. Plusieurs exemples numériques illustrent la portée de la méthode. Dans une deuxième partie nous combinons intégration par parties et transformation de Girsanov pour proposer plusieurs représentations stochastiques des sensibilités. Au-delà du cadre strictement elliptique, on montre sur le cas d'un modèle HJM à volatilité stochastique une construction efficace de vecteur couvrant au sens de Malliavin-Thalmaier. Le dernier chapitre, de nature plus appliquée, présente un cas réel d'évaluation et de couverture d'options exotiques sur taux

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Musil, Jiří. "Studie proveditelnosti." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-124839.

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This thesis will describe the problematic of feasibility studies on the base of available literature. Main aim of this diploma thesis is to create feasibility study for the author's own project and to confirm or refuse the basic hypothesis.

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Boček, Michal. "Přepočet a variantní řešení ocelové konstrukce mostu na drážní komunikaci." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2015. http://www.nusl.cz/ntk/nusl-227793.

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The subject of this diploma thesis is static verification steel structure of exist railway bridge in accordance with the valid standards. The bridge have three simple spans with a span of 25; 98 and 25 meters, outer fields are simple beams, the middle field is the beam reinforced with an arch with vertical rods. Steel orthotropic deck with longitudinal stiffeners and crossbeams. Further were designed and analyse other possible options super structure of the middle field, and the resulting variant as a circle span with radial rods was detail solved and made documentation.

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Abbas, Aghababazadeh Farnoosh. "Estimating the Local False Discovery Rate via a Bootstrap Solution to the Reference Class Problem: Application to Genetic Association Data." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33367.

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Modern scientific technology such as microarrays, imaging devices, genome-wide association studies or social science surveys provide statisticians with hundreds or even thousands of tests to consider simultaneously. Testing many thousands of null hypotheses may increase the number of Type $I$ errors. In large-scale hypothesis testing, researchers can use different statistical techniques such as family-wise error rates, false discovery rates, permutation methods, local false discovery rate, where all available data usually should be analyzed together. In applications, the thousands of tests are related by a scientifically meaningful structure. Ignoring that structure can be misleading as it may increase the number of false positives and false negatives. As an example, in genome-wide association studies each test corresponds to a specific genetic marker. In such a case, the scientific structure for each genetic marker can be its minor allele frequency. In this research, the local false discovery rate as a relevant statistical approach is considered to analyze the thousands of tests together. We present a model for multiple hypothesis testing when the scientific structure of each test is incorporated as a co-variate. The purpose of this model is to incorporate the co-variate to improve the performance of testing procedures. The method we consider has different estimates depending on the tuning parameter. We would like to estimate the optimal value of that parameter by considering observed statistics. Thus, among those estimators, the one which minimizes the estimated errors due to bias and to variance is chosen by applying the bootstrap approach. Such an estimation method is called an adaptive reference class method. Under the combined reference class method, the effect of the co-variates is ignored and all null hypotheses should be analyzed together. In this research, under some assumptions for the co-variates and the prior probabilities, the proposed adaptive reference class method shows smaller error than the combined reference class method in estimating the local false discovery rate, when the number of tests gets large. We describe the adaptive reference class method to the coronary artery disease data, and we use simulation data to evaluate the performance of the estimator associated with the adaptive reference class method.

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Books on the topic "Variant solution"

1

Oganesi͡an, N. O. The Karabakh problem: Factors, criteria, variants of solution. Yerevan: Zangak, 1999.

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Saylor, Paul E. Leapfrog variants of iterative methods for linear algebraic equations. Hampton, Va: ICASE, 1988.

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Perevalov, Viktor. Legal doctrine: problems of formation and implementation. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1839406.

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The book is devoted to the issues of the emergence, formation and implementation of the legal doctrine as a kind of" prominence " in the field of legal science. Taking into account historical and comparative legal data, the corresponding legal phenomena and concepts are characterized, examples of their practical approbation are given. Variants of the author's solution are offered for a number of debatable problems of the topic. For undergraduates, postgraduates, teachers of law schools and anyone interested in law.

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Ogren, David F. IPlanet application server: Designing and building J2EE solutions. New York: Wiley, 2002.

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Dritev – Drivetrain for Vehicles 2020. VDI Verlag, 2020. http://dx.doi.org/10.51202/9783181023730.

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20th International VDI Congress „Dritev“ – The most important powertrain development trends now digital & Corona-safe! Even in the corona crisis, the world of powertrain development does not stand still. Mobility and how it is driven remains the central focus of the automotive industry. The aim is to find good solutions in the area of conflict between rising CO2 fleet consumption, an exploding number of drive variants and regulatory intervention by the state. Many questions are still open here. The companies are therefore pursuing multi-track drive strategies that follow a comprehensive electrification of the drive system in all vehicle classes in order to be well positioned for the future. Es laufen zwei Veranstaltungen in einer, denn parallel zur Dritec wird auch die EDrive stattfinden. Content (Dritev) Hier einige inhaltliche Stichworte zur Dritev (Auszüge): New series solution Ford MACH-E Primary Electric Drive Unit ….1 The front-axle drive of th...

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Designing, Pen. 400 Medium Sudoku Puzzles: 400 Intermediate Sudoku Puzzles with Solutions and Instructions for Adults Sudoku Variants That Will Drive You Batty. Independently Published, 2020.

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Gelernter, Joel. Complex Trait Genetics and Population Genetics in Psychiatry. Edited by Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.016.

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Nearly all behavioral traits, ranging from personality traits such as neuroticism to schizophrenia and autism, are genetically influenced. With only minor exceptions, all are genetically complex—meaning that inheritance is not simply dominant or recessive or sex-linked, but follows more complex patterns indicative of more complex mechanisms. Most risk variants identified to date have only small effects on risk, and, in most cases, many risk variants at many risk loci interact with environmental factors to produce the phenotype. Such complexity has led to great challenges in increasing our knowledge of the inheritance of behavioral traits. Recent methodological advances have provided an improved set of tools that has led to advances in our understanding of the genetic influences on a range of behavioral traits. This chapter examines some of the issues involved that tend to make this a difficult problem and some of the solutions now being employed to approach those problems.

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Commercial Vehicles 2021. VDI Verlag, 2021. http://dx.doi.org/10.51202/9783181023808.

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Contents Ways to achieve Zero Emission ZF E-Mobility products and software for commercial vehicles ..... 1 Thermoelectric generators for heavy-duty vehicles as an economical waste heat recovery system ..... 17 Hybridization of heavy duty trucks – Market analysis and technology for high voltage as well as low voltage solutions ..... 33 Development processes and methods Lightweight construction and cost reduction – a lean, agile MSCDPS® product development process ..... 43 eDrive & Fuel Cell powertrain systems engineering for commercial vehicles ..... 55 Fatigue development of a 10x10 commercial vehicle frame using dynamic and/or strength simulation, virtual iteration and component testing together with measurement data acquisition ..... 73 Data-driven selection of vehicle variants for the E/E integration test – Increasing variants and complex technology versus test coverage ..... 81 Hydrogen propulsion High performance and efficiency hydrogen engine using westport fuel systems’ Commercially available HPDI fuel system ..... 97 E/E architecture and operating strategy for fuel-cell trucks – Challenges...

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-H, Steeb W., ed. Problems & solutions in scientific computing: With C++ and Java simulations. Hackensack, NJ: World Scientific, 2004.

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Steeb, Willi-Hans, Yorick Hardy, Ruedi Stoop, and Alexandre Hardy. Problems & Solutions In Scientific Computing With C++ And Java Simulations. World Scientific Publishing Company, 2004.

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Book chapters on the topic "Variant solution"

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Kulkarni, Anand Jayant, Ganesh Krishnasamy, and Ajith Abraham. "Solution to a New Variant of the Assignment Problem Using Cohort Intelligence Algorithm." In Cohort Intelligence: A Socio-inspired Optimization Method, 87–99. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44254-9_7.

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Mahmoud, S. M., and I. H. Farhan. "Numerical Solution of the Matrix Riccati Equation for a Time Variant Jet Engine System." In COMADEM 89 International, 434–38. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-8905-7_68.

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Schuh, Guenther, Till Potente, Christina Thomas, and Stephan Schmitz. "Designing Rotationally Symmetric Products for Multi-variant Mass Production by Using Production-Technical Solution Space." In IFIP Advances in Information and Communication Technology, 286–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40352-1_36.

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Brockmann, T. H. "Solution Variants." In Theory of Adaptive Fiber Composites, 155–68. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2435-0_9.

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Matei, Alexander, and Stefan Ulbrich. "Detection of Model Uncertainty in the Dynamic Linear-Elastic Model of Vibrations in a Truss." In Lecture Notes in Mechanical Engineering, 281–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_22.

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AbstractDynamic processes have always been of profound interest for scientists and engineers alike. Often, the mathematical models used to describe and predict time-variant phenomena are uncertain in the sense that governing relations between model parameters, state variables and the time domain are incomplete. In this paper we adopt a recently proposed algorithm for the detection of model uncertainty and apply it to dynamic models. This algorithm combines parameter estimation, optimum experimental design and classical hypothesis testing within a probabilistic frequentist framework. The best setup of an experiment is defined by optimal sensor positions and optimal input configurations which both are the solution of a PDE-constrained optimization problem. The data collected by this optimized experiment then leads to variance-minimal parameter estimates. We develop efficient adjoint-based methods to solve this optimization problem with SQP-type solvers. The crucial test which a model has to pass is conducted over the claimed true values of the model parameters which are estimated from pairwise distinct data sets. For this hypothesis test, we divide the data into k equally-sized parts and follow a k-fold cross-validation procedure. We demonstrate the usefulness of our approach in simulated experiments with a vibrating linear-elastic truss.

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Neele, Thomas, Antti Valmari, and Tim A. C. Willemse. "The Inconsistent Labelling Problem of Stutter-Preserving Partial-Order Reduction." In Lecture Notes in Computer Science, 482–501. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45231-5_25.

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AbstractIn model checking, partial-order reduction (POR) is an effective technique to reduce the size of the state space. Stubborn sets are an established variant of POR and have seen many applications over the past 31 years. One of the early works on stubborn sets shows that a combination of several conditions on the reduction is sufficient to preserve stutter-trace equivalence, making stubborn sets suitable for model checking of linear-time properties. In this paper, we identify a flaw in the reasoning and show with a counter-example that stutter-trace equivalence is not necessarily preserved. We propose a solution together with an updated correctness proof. Furthermore, we analyse in which formalisms this problem may occur. The impact on practical implementations is limited, since they all compute a correct approximation of the theory.

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Bumbak, Fabian, Ross A. D. Bathgate, Daniel J. Scott, and Paul R. Gooley. "Expression and Purification of a Functional E. coli 13CH3-Methionine-Labeled Thermostable Neurotensin Receptor 1 Variant for Solution NMR Studies." In Methods in Molecular Biology, 31–55. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9121-1_3.

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Kloeden, Peter E., and Eckhard Platen. "Variance Reduction Methods." In Numerical Solution of Stochastic Differential Equations, 511–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-12616-5_16.

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Malley, James D. "The General Solution to Optimal Unbiased Estimation." In Optimal Unbiased Estimation of Variance Components, 60–69. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4615-7554-2_6.

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Platen, Eckhard, and Nicola Bruti-Liberati. "Variance Reduction Techniques." In Numerical Solution of Stochastic Differential Equations with Jumps in Finance, 637–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13694-8_16.

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Conference papers on the topic "Variant solution"

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Pohl, Richard, Mischa Höchsmann, Philipp Wohlgemuth, and Christian Tischer. "Variant management solution for large scale software product lines." In ICSE '18: 40th International Conference on Software Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3183519.3183523.

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Manohar, Karthik, Jeffrey Abell, Kurt Beiter, and Dennis Gonzales. "Analytical Framework to Define Product Architecture." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29167.

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Product design over the past few decades has moved towards shorter life cycles, shorter design cycles while simultaneously having to satisfy multiple market segments. Global companies have responded to this challenge by designing products based on architectures, to meet these new market requirements. However, designing products based on architecture levies a significant tradeoff penalty on the derivative variants when compared to custom requirement-specific design. All derivative variants sharing the common architecture will have to carry the engineering weight of the variant with the most stringent performance requirements. This makes architecture definition a crucial step in achieving market success. The architecture definition process has three primary steps: architecture bandwidth definition, determining the number of variants and definition of the bandwidth of each variant. A study of the current architecture definition process in a large automobile manufacturer determined that the bandwidth and variant decision making process was entirely manual and dependant on the skill & experience of the personnel involved. This paper defines a math-based framework to define, determine and visualize the entire solution space of product variants in an individual architecture. A case study was built around a midsize vehicle architecture; with elemental physics and dynamics determining the performance attributes of each variant solution. A commercial simulation solution provided the marketshare simulation, for all the potential virtual vehicles in the solution space, providing a connection for engineering requirements to market performance. This paper begins with a brief overview of the architecture design space, walks through an analytical framework to define product architecture, and finally, future steps for this line of research.

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Voliansky, Roman, Oleksandr Sadovoi, Yuliia Sokhina, Yurii Shramko, and Vitaliy Kuznetsov. "Solution of Inverse Dynamic Problem for Time-Variant Linear Object." In 2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD). IEEE, 2019. http://dx.doi.org/10.1109/apuavd47061.2019.8943891.

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HENKEL, EDWIN, RENE HEWLETT, and RAYMOND MAR. "Transient solution of time variant structural systems using invariant modal properties." In 32nd Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-1061.

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Xiao, Chunlin, Eugene Yaschenko, and Stephen Sherry. "Abstract 4858: Cloud-based variant analysis solution using control-accessed sequencing data." In Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.am2015-4858.

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Ma, Yanting, Min Kang, Jack W. Silverstein, and Dror Baron. "Local Convergence of an AMP Variant to the LASSO Solution in Finite Dimensions." In 2021 IEEE International Symposium on Information Theory (ISIT). IEEE, 2021. http://dx.doi.org/10.1109/isit45174.2021.9518079.

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Ionescu, Mihail G., and Vladimir-Codrin M. Ionescu. "Considerations Regarding the Analytical Solution of Journal Bearing Lubrication." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-63966.

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The paper makes a succinct analysis of the advantages and limitations of the differential equation for pressures proposed by Ionescu [1]. The main theoretical and experimental aspects concerning the quantitative estimation of journal bearings are briefly presented. A variant of the equation ensuring calculation accuracy for lightly loaded bearings is proposed.

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Biłozor, Andrzej, and Małgorzata Renigier-Biłozor. "Methodology of the Polyoptimization for Spatial Processes." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.100.

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Optimization is a complex activity that aims to find the best solution for a given activity, considering all existing limitations. The best variant possible in the set of acceptable variants is sought-out. In particular, in urban areas, optimization of land use function as the beginning of a decision-making process requires performing a great number of tasks, which minimize the risk of spatial conflicts, set at the stage of studies and analyses. Polyoptimization is optimization with a vector objective function. The aim of polyoptimization is to find the best solution, concurrently applying several criteria which, due to their limitations, are conflicting as a general rule. It leads to finding compromise solutions (polyoptimum variants in the set of acceptable variants). In the paper the following ideas will be presented – the idea of spatial processes polyoptimization, the methods for determining the collection and selection of compromise solutions, the methodology for determining polioptimum states of the space use, the possibility of using polyoptimization methods that are regarded as supporting decision-making tools in the planning and management of space with the use of GIS tools. The Authors will show the benefits of using the polyoptimization. The methods of formulating and solving problems which are related to selection of optimum way use of land will be delivered.

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Aruchunan, E., Y. Wu, B. Wiwatanapataphee, and P. Jitsangiam. "A New Variant of Arithmetic Mean Iterative Method for Fourth Order Integro-differential Equations Solution." In 2015 3rd International Conference on Artificial Intelligence, Modelling & Simulation (AIMS). IEEE, 2015. http://dx.doi.org/10.1109/aims.2015.24.

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Hutcheson, Ryan S., Robert L. Jordan, Robert B. Stone, Janis P. Terpenny, and Xiaomeng Chang. "Application of a Genetic Algorithm to Concept Variant Selection." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99390.

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This paper outlines a framework for applying a genetic algorithm to the selection of component variants between the conceptual and detailed design stages of product development. A genetic algorithm (GA) is defined for the problem and an example is presented that demonstrates its application and usefulness. Functional modeling techniques are used to formulate the design problem and generate the chromosomes that are evaluated with the algorithm. In the presented example, suitable GA parameters and the break-even point where the GA surpassed an enumerated search of the same solution space were found. Recommend uses of the GA along with limitations of the method and future work are presented as well.

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Reports on the topic "Variant solution"

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Millington, Kerry A. Protecting and Promoting Systems for Essential Health Services During Rollout of COVID-19 Tools. Institute of Development Studies (IDS), May 2021. http://dx.doi.org/10.19088/k4d.2021.084.

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The COVID-19 pandemic has had a tremendous negative impact on economies of most countries around the world. COVID-19 has disrupted the ability of health systems to deliver on essential health services and has also exposed pre-existing vulnerabilities and inequities in public health systems. According to a key informant survey conducted by WHO, over one year into the COVID-19 pandemic, there still exist substantial disruptions to essential health services. This rapid review examines evidence on successful interventions that could enable adaptive approaches to help manage and respond future pandemics and mitigate the risk of collapse of the public health systems. Countries must use the opportunity provided by the deployment of COVID-19 vaccines to strengthen health services and health systems and find long-lasting solutions for similar future challenges. The review notes that there still exist gaps in preparedness and response to the Covid-19 pandemic. New variants of concern threaten the effectiveness of existing COVID-19 vaccines, vaccine hesitancy slowing rollout, including in Africa, and interrupted and limited supply of COVID-19 tools. More funding is required though to scale up adaptive measures which are working, accelerating new approaches and innovations to improve service delivery. This review also highlights briefly the plight of marginalised social groups, people living with disabilities, women and children during the pandemic. According to estimates by Global Fund, Gavi, Global Financing Facility, access to life-saving health interventions for women, children and adolescents in 36 of the world’s poorest countries has dropped by as much as 25% due to COVID-19. Countries must build on the momentum of health innovations during the COVID-19 crisis to build more resilient health systems that can withstand disruptions by future pandemics.

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Over, Thomas, Riki Saito, Andrea Veilleux, Padraic O’Shea, Jennifer Sharpe, David Soong, and Audrey Ishii. Estimation of Peak Discharge Quantiles for Selected Annual Exceedance Probabilities in Northeastern Illinois. Illinois Center for Transportation, June 2016. http://dx.doi.org/10.36501/0197-9191/16-014.

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This report provides two sets of equations for estimating peak discharge quantiles at annual exceedance probabilities (AEPs) of 0.50, 0.20, 0.10, 0.04, 0.02, 0.01, 0.005, and 0.002 (recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively) for watersheds in Illinois based on annual maximum peak discharge data from 117 watersheds in and near northeastern Illinois. One set of equations was developed through a temporal analysis with a two-step least squares-quantile regression technique that measures the average effect of changes in the urbanization of the watersheds used in the study. The resulting equations can be used to adjust rural peak discharge quantiles for the effect of urbanization, and in this study the equations also were used to adjust the annual maximum peak discharges from the study watersheds to 2010 urbanization conditions. The other set of equations was developed by a spatial analysis. This analysis used generalized least-squares regression to fit the peak discharge quantiles computed from the urbanization-adjusted annual maximum peak discharges from the study watersheds to drainage-basin characteristics. The peak discharge quantiles were computed by using the Expected Moments Algorithm following the removal of potentially influential low floods defined by a multiple Grubbs-Beck test. To improve the quantile estimates, regional skew coefficients were obtained from a newly developed regional skew model in which the skew increases with the urbanized land use fraction. The skew coefficient values for each streamgage were then computed as the variance-weighted average of at-site and regional skew coefficients. The drainage-basin characteristics used as explanatory variables in the spatial analysis include drainage area, the fraction of developed land, the fraction of land with poorly drained soils or likely water, and the basin slope estimated as the ratio of the basin relief to basin perimeter. This report also provides: (1) examples to illustrate the use of the spatial and urbanization-adjustment equations for estimating peak discharge quantiles at ungaged sites and to improve flood-quantile estimates at and near a gaged site; (2) the urbanization-adjusted annual maximum peak discharges and peak discharge quantile estimates at streamgages from 181 watersheds including the 117 study watersheds and 64 additional watersheds in the study region that were originally considered for use in the study but later deemed to be redundant. The urbanization-adjustment equations, spatial regression equations, and peak discharge quantile estimates developed in this study will be made available in the web-based application StreamStats, which provides automated regression-equation solutions for user-selected stream locations. Figures and tables comparing the observed and urbanization-adjusted peak discharge records by streamgage are provided at http://dx.doi.org/10.3133/sir20165050 for download.

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Some complex approaches to training micro-cycles formation among cadetsweightlifters taking into account biotypes. Ilyas N. Ibragimov, Zinaida M. Kuznetsova, Ilsiyar Sh. Mutaeva, March 2021. http://dx.doi.org/10.14526/2070-4798-2021-16-1-39-46.

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Training cadets-weightlifters at all stages has a multipurpose orientation, that is why it is important to define and plan a rational combination of the training means use. Distribution of such micro structures in the cycle of training, as the days, months of training, provides effective volume, intensity and other values of physical load distribution. The structure of training cadets-weightlifters is based on taking into account the regularities and principles of sports training as the condition for physical readiness and working capacity increase. Any power oriented sports demands components characteristics in the structure of micro cycles. We consider the methodology of the training lessons organization by the example of the micro cycle of training taking into account bioenergetic profile of cadets-weightlifters. We revealed the necessity to distribute the macro cycle to structural components as the condition for the effectiveness of different variants of the training effects distribution. Materials and methods. We analyzed the range of training lessons among cadets-weightlifters in order to create the variants of gradual training problems solution according to the kinds of training. We analyzed training programs of cadets taking into consideration the level of readiness and their bioenergetic profiles. We created the content of the training work in the micro cycle of the preparatory period for cadets-weightlifters with different bioenergetic profiles. The main material of the research includes the ratio of the training effects volume in one micro cycle taking into account cadets’ bioenergetic profile. Cadets-weightlifters from Tyumen Higher Military-Engineering Command College (military Institute) took part in the research (Tyumen, Russia). Results. We created the content of the training work by the example of one micro cycle for cadets-weightlifters taking into account bioenergetic profile. The created variant of the training loads structure includes the main means of training taking into account the kind of training. Realization orientation in five regimens of work fulfillment with the effectiveness estimation of a total load within one lesson and a week in general is estimated according to a point system. Conclusion. The created variant of a micro cycle considers kinds of training realization taking into account the percentage of the ratio. Taking into account bioenergetic profiles helps to discuss strong and weak sides of muscle activity energy supply mechanisms. We consider the ability to fulfill a long-term aerobic load among the representatives of the 1st and the 2nd bioenergetic profiles. The representatives of the 3rd and the 4th biotype are inclined to fulfill the mixed load. The representatives of the 5th biotype are characterized by higher degree of anaerobic abilities demonstration. The technology of planning the means taking into account the regimens of work realization with point system helps to increase physical working capacity and rehabilitation processes in cadets’ organisms.

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