Relevant bibliographies by topics / Technical optimization

Academic literature on the topic 'Technical optimization'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Technical optimization"

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Chaudhuri, Surajit. "Technical perspectiveRelational query optimization." Communications of the ACM 52, no. 10 (October 2009): 86. http://dx.doi.org/10.1145/1562764.1562786.

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Kochergin, Victor, Daniil Plotnikov, Andrey Ilinykh, and Sergey Glushkov. "Optimization of Technical Monitoring Processes." Transportation Research Procedia 54 (2021): 166–72. http://dx.doi.org/10.1016/j.trpro.2021.02.061.

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Pohl, M. "Optimization of Biocatalysts for Technical Processes." Engineering in Life Sciences 1, no. 1 (July 2001): 17–20. http://dx.doi.org/10.1002/1618-2863(200107)1:1<17::aid-elsc17>3.0.co;2-q.

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Mamoulis, Nikos. "Technical Perspective." ACM SIGMOD Record 51, no. 1 (May 31, 2022): 50. http://dx.doi.org/10.1145/3542700.3542712.

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The optimal assignment problem is a classic combinatorial optimization problem. Given a set of n agents A, a set T of m tasks, and an n×m cost matrix C, the objective is to find the matching between A and T, which minimizes or maximizes an aggregate cost of the assigned agent-task pairs. In its standard definition, n = m and we are looking for the 1-to-1 matching with the minimum total cost. From a graph theory perspective, this is a weighted bipartite graph matching problem. A classic algorithm for solving the assignment problem is the Hungarian algorithm (a.k.a. Kuhn-Munkres algorithm) [3], which bears a O(n3) computational cost (assuming that n = m); this is the best run-time of any strongly polynomial algorithm for this problem. There are many variants of the assignment problem, which differ in the optimization objective (i.e., minimize/maximize an aggregate cost, achieve a stable matching, maximize the number of agents matched which their top preferences, etc.) and in whether there are constraints on the number of matches for each agent or task.
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Shapovalov, V. V., P. V. Kharlamov, S. L. Gorin, V. B. Mischinenko, R. A. Kornienko, and V. E. Zinovev. "Optimization of dynamically loaded nonlinear technical systems." IOP Conference Series: Materials Science and Engineering 1029 (January 19, 2021): 012043. http://dx.doi.org/10.1088/1757-899x/1029/1/012043.

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Malakov, Ivo, and Velizar Zaharinov. "Optimization of Size Ranges of Technical Products." Applied Mechanics and Materials 859 (December 2016): 194–203. http://dx.doi.org/10.4028/www.scientific.net/amm.859.194.

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The paper presents a formulation of the problem for choosing an optimal size range of technical products and a mathematical model for solving of the said problem. Particular attention is paid to the ways for satisfying the types of demand for the size ranges’ elements. Two ways are proposed, and they are formalized as constraints in a mathematical model. Methods are proposed for solving the problem in accordance with the chosen way of satisfying the demand, and an algorithm is developed. The methods and the algorithm are approbated by solving a particular problem.
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Gordeev, A. V., and N. Yu Loginov. "TECHNICAL PARAMETERS OPTIMIZATION WHILE SOLVING ENGINEERING PROBLEMS." Vektor nauki Tol'yattinskogo gosudarstvennogo universiteta, no. 4 (2015): 25–30. http://dx.doi.org/10.18323/2073-5073-2015-4-25-30.

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GASPARINI, M., M. MANTICA, P. GALIMBERTI, U. LAMARCHESINA, M. MANGLAVACCHI, F. FALETRA, and E. GRONDA. "Optimization of cardiac resynchronization therapy: technical aspects." European Heart Journal Supplements 4 (April 2002): D82—D87. http://dx.doi.org/10.1016/s1520-765x(02)90164-1.

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Gasparini, M., M. Mantica, P. Galimberti, U. La Marchesina, M. Manglavacchi, F. Faletra, and E. Gronda. "Optimization of cardiac resynchronization therapy: technical aspects." European Heart Journal Supplements 4, suppl_D (April 1, 2002): D82—D87. http://dx.doi.org/10.1093/ehjsupp/4.suppl_d.d82.

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Cox, Landon P. "Technical perspective: Measuring optimization potential with Coz." Communications of the ACM 61, no. 6 (May 23, 2018): 90. http://dx.doi.org/10.1145/3205913.

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Dissertations / Theses on the topic "Technical optimization"

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Nazir, Ahsan. "Modelling and optimization of electrospun materials for technical applications." Thesis, Mulhouse, 2016. http://www.theses.fr/2016MULH0598/document.

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Ce travail de recherche traite de l’optimisation et de la modélisation de nanofibres obtenues par filage électrostatique pour des applications techniques en tant que, a) cellules résistives pour génération de chaleur et b) couche ultra filtrante pour système de protection respiratoire. Afin d’intégrer ces matériaux nanofibreux aux applications visées, deux procédés de production ont été mis en oeuvre, à savoir mono-aiguille et multijets. Une étude statistique a été réalisée pour modéliser et optimiser les non-tissés de nanofibres pour des productions à échelle laboratoire et semi-industrielle. L’outil statistique c’est révélé pertinent pour anticiper la morphologie des matériaux produits et assurer une homogénéité optimale. Les non-tissés présentant les caractéristiques morphologiques souhaitées ont été sélectionnés, testés, et les résultats ont révélé leur fort potentiel pour les champs applicatifs visés. Ces travaux valident deux pistes de recherche qui déboucheraient sur une intégration concrète de ces matériaux innovants
Optimization and modelling of electrospun nanofibrous nonwovens and their technical applications, i-e heat generation and respiratory protection, were studied in this work. For utilization in these applications, nanowebs were statistically modelled and optimized using different electrospinning techniques i-e needle and needleless setups based on significance of these techniques for lab and bulk scale production of nanowebs. Moreover, quantitative impact of different electrospinning parameters was also observed. Statistical analysis was found to be a useful tool for study of electrospinning process and production of nanowebs with minimum defects. The optimized nanowebs were used for selected applications and based on results it was concluded that they can be a potential material for both, heat generation and respiratory protection. These observations are expected to initiate more focused studies in both the fields
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Webb, Tasha. "A technical communication internship with the Central Ohio Transit Authority (COTA) – The Ellipse Optimization Project." Miami University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=miami1430395167.

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Allala, Prathyusha. "Genetic Optimization of Turbo Decoder." Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1293681661.

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Lerch, Markus. "Technical-economic analysis, modeling and optimization of floating offshore wind farms." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/668880.

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The offshore wind sector has grown significantly during the last decades driven by the increasing demand for clean energy and to reach defined energy targets based on renewable energies. As the wind speeds tend to be faster and steadier offshore, wind farms at sea can reach higher capacity factors compared to their onshore counterparts. Furthermore, fewer restrictions regarding land use, visual impact, and noise favors the application of this technology. However, most of today's offshore wind farms use bottom-fixed foundations that limit their feasible application to shallow water depths. Floating substructures for offshore wind turbines are a suitable solution to harness the full potential of offshore wind as they have less constraints to water depths and soil conditions and can be applied from shallow to deep waters. As several floating offshore wind turbine (FOWT) concepts have been successfully tested in wave tanks and prototypes have been proven in open seas, floating offshore wind is now moving towards the commercial phase with the first floating offshore wind farm (FOWF) commissioned in 2017 and several more are projected to be constructed in 2020. This transition increases the need for comprehensive tools that allow to model the complete system and to predict its behavior as well as to assess the performance for different locations. The aim of this thesis is to analyze from a technical and economic perspective commercial scale FOWFs. This includes the modeling of FOWTs and the study of their dynamic behavior as well as the economic assessment of different FOWT concepts. The optimization of the electrical layout is also addressed in this thesis. The first model developed is applied to analyze the performance of a Spar type FOWT. The model is tested with different load cases and compared to a reference model. The results of both models show an overall good agreement. Afterwards, the developed model is applied to study the behavior of the FOWT with respect to three different offshore sites. Even at the site with the harshest conditions and largest motions, no significant loss in energy generation is measured, which demonstrates the good performance of this concept. The second model is used to perform a technical-economic assessment of commercial scale FOWFs. It includes a comprehensive LCOE methodology based on a life cycle cost estimation as well as the computation of the energy yield. The model is applied to three FOWT concepts located at three different sites and considering a 500MW wind farm configuration. The findings indicate that FOWTs are a high competitive solution and energy can be produced at an equal or lower LCOE compared to bottom-fixed offshore wind or ocean energy technologies. Furthermore, a sensitivity analysis is performed to identify the key parameters that have a significant influence on the LCOE and which can be essential for further cost reductions. The last model is aimed to optimize the electrical layout of FOWFs based on the particle swarm optimization theory. The model is validated against a reference model at first and is then used to optimize the inter-array cable routing of a 500MW FOWF. The obtained electrical layout results in a reduction of the power cable costs and a decrease of the energy losses. Finally, the use of different power cable configurations is studied and it is shown that the use of solely dynamic power cables in comparison to combined dynamic and static cables results in decreased acquisition and installation costs due to the avoidance of cost-intensive submarine joints and additional installation activities.
El sector eólico marino ha crecido significativamente durante las últimas décadas impulsado por la creciente demanda de energía limpia. Los parques eólicos en el mar pueden alcanzar factores de capacidad más altos en comparación a los parques eólicos en la tierra debido a que las velocidades del viento tienden a ser más altas y constantes en el mar. Ademas, existen menos restricciones con respecto al uso de la tierra, el impacto visual y el ruido. Sin embargo, la mayoría de los parques eólicos actuales utilizan subestructuras fijas que limitan su aplicación factible a aguas poco profundas. Las subestructuras flotantes para turbinas eólicas marinas (FOWTs en inglés) son una solución adecuada para aprovechar todo el potencial de la energía eólica, ya que tienen menos restricciones para las profundidades del agua y el fondo marino. Dado que varios prototipos de FOWTs se han probado con éxito en el mar, la industria ahora esta entrando a la fase comercial con el primer parque eólico flotante (FOWF en inglés) operativo y se proyecta que se pondrán en marcha más en los próximos anos. Esta transición aumenta la necesidad de herramientas integrales que permitan modelar el sistema completo y predecir su comportamiento, así como evaluar el rendimiento para diferentes lugares. El objetivo de esta tesis es analizar desde una perspectiva técnica y económica los FOWFs a escala comercial. Esto incluye el modelado de FOWTs, el estudio de su comportamiento dinámico, y la evaluación económica de diferentes conceptos. La optimización del diseño eléctrico también se aborda en esta tesis. El primer modelo desarrollado se aplica para analizar el rendimiento de un FOWT tipo Spar. El modelo se prueba con diferentes tipos de carga y se compara con un modelo de referencia. Los resultados de ambos modelos muestran una buena concordancia. Posteriormente, el modelo se aplica para estudiar el comportamiento con respecto a tres lugares diferentes. Los resultados muestran que incluso en el sitio con las condiciones más severas, no se mide ninguna pérdida significativa en la generación de energía, lo que demuestra el buen rendimiento de este concepto. El segundo modelo se utiliza para realizar una evaluación técnico-económica de los FOWF a escala comercial. Esto incluye una metodología integral del costo nivelado de energía (LCOE en ingles). El modelo se aplica a tres conceptos de FOWTs ubicados en tres lugares diferentes y considerando un parque eólico de 500MW. Los resultados indican que los FOWTs son una solución altamente competitiva y que la energía se puede producir con un LCOE igual o inferior en comparación con los parques eólicos con subestructuras fijas o las tecnologías de energía oceánica. Asimismo, se realiza un análisis de sensibilidad para identificar los parámetros claves que tienen una influencia significativa en el LCOE y que pueden ser esenciales para reducciones de costos. El último modelo se aplica para optimizar el diseño eléctrico en función de la teoría de optimización por enjambre de partículas. Inicialmente el modelo se valida contra un modelo de referencia y luego se utiliza para optimizar la conexión de los cables entre los FOWTs. El diseño eléctrico obtenido da como resultado una reducción de los costos de cables y una disminución de las pérdidas de energía. Finalmente, se estudia el uso de diferentes configuraciones de cables y se demuestra que el uso de cables únicamente dinámicos en comparación con los cables dinámicos y estáticos combinados da como resultado una disminución de los costos de adquisición e instalación debido a que evitan la necesidad de juntas submarinas costosas y costos adicionales de instalación.
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Foster, James C. "Joint optimization of the technical and social aspects of workplace design." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/31002.

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Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1985.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND DEWEY.
Bibliography: leaves 91-97.
by James C. Foster.
M.S.
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Гладуш, Ірина Анатоліївна. "Professionally oriented foreign language training: self-study optimization at technical universities." Thesis, Київський національний університет технологій та дизайну, 2020. https://er.knutd.edu.ua/handle/123456789/15192.

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Jinks, Douglas David. "Drying of latex backcoated acrylic fabrics: optimization and control." Thesis, Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/11242.

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CHANG, CARLOS ALEXANDRE. "TECHNICAL ECONOMIC OPTIMIZATION OF A HYBRID PHOTOVOLTAIC-DIESEL SYSTEM WITH BATTERY BANK." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=21838@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
Esta dissertação analisa o custo, viabilidade e otimização do desempenho de um sistema híbrido de produção de energia elétrica, constituído de módulos fotovoltaicos, banco de baterias e gerador diesel. Foram realizadas simulações para diferentes configurações de sistema, variando tanto a profundidade de descarga quanto a capacidade total e operacional do banco de baterias, e o consumo total. O perfil do consumo foi mantido inalterado em todas as simulações realizadas. Para a simulação foi utilizado banco de dados constituído por informações meteorológicas, preços dos equipamentos do sistema, demanda de eletricidade e perfil de consumo da agrovila de Campinas (AM). Em posse desse conjunto de informações foi então elaborada análise de viabilidade econômica do fornecimento de eletricidade para uma comunidade rural localizada em uma região remota. Ou seja, localizada em uma região distante do acesso as redes de distribuição de energia elétrica. A simulação foi configurada para um sistema que possibilitasse acesso a equipamentos básicos (atendendo o Manual de Projetos Especiais – necessidade de atender refrigeração, comunicação e iluminação), fornecendo eletricidade com o menor custo possível. A avaliação do projeto demonstra que o mesmo é uma boa opção de investimento, considerando que o fornecimento elétrico é peça chave para o desenvolvimento econômico e social de qualquer localidade. Para a realização do estudo utilizou-se banco de dados de radiação solar e temperatura do município de Manaus, pertencente ao Estado do Amazonas, pressupondo-se que a localidade em questão possui condições meteorológicas semelhantes à área de estudo, desprezando-se possíveis diferenças. Além do que, o referido estudo adotou um período de vida útil de 25 anos ou mais para o sistema.
This dissertation analyses the cost, feasibility and optimization performance of a hybrid electric energy production system, composed of photovoltaic modules, storage batteries and a diesel generator. Several performance simulations were made for different system configurations, varying discharge depth, both total and operating capacity of the storage batteries, and total consumption, using the same profile shape. A data base was used for the simulations, using meteorological information, component prices, and electric energy power and consumption profiles for the rural Village of Campinas (AM). As a result, an economically feasible proposal was detailed for supplying electric energy to a rural village, which is away from available commercial networks. The simulation was used to determine the basic equipment configuration to minimize the electricity cost. The project evaluation shows it is a good investment option, considering that electric energy supply is fundamental for the social and economic development. Solar radiation and temperature data for the city of Manaus, AM, ware used for the simulations, which is considered to be approximately the same as for the rural Village of Campinas due to its proximity. In addition, this study adopted a working life of 25 years or more for the system.
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Taylor, Stephen. "Radiation Protection in Radiology: Technical and Regulatory Uncertainties." Doctoral thesis, Universite Libre de Bruxelles, 2021. https://dipot.ulb.ac.be/dspace/bitstream/2013/317082/4/TOC.pdf.

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Trois axes sont définis par la Commission Internationale de Radioprotection pour gouverner la radioprotection :la justification, l’optimisation et des règlementations quant aux limites de doses d’irradiation. Ce travail vise à vérifier l’adéquation des méthodes et des techniques appliquées à ces trois axes. Quatre articles originaux sont présentés à cet effet.Concernant la justification, nous avons comparé des situations cliniques présentes/absentes de deux guidelines ainsi que la pertinence des prescriptions :les guidelines établis par Euro-2000 et ceux actualisés proposés par la Société Européenne de Radiologie sous la forme d’une plateforme numérique appelée iGuide. Davantage de cas cliniques rencontrés en pratique courante sont repris dans iGuide par rapport aux Guidelines Euro-2000. Néanmoins, l’inadéquation des recommandations aux situations cliniques auxquelles les prescripteurs sont confrontés contribue à expliquer leur faible adhésion et limite leur contribution à la justification.Concernant l’optimisation, nous avons investigué une technique qui vise à réduire l’irradiation mammaire en tomodensitométrie (TDM) thoracique. Sa conception prévoit une augmentation de l’irradiation en dehors du tissu mammaire afin de maintenir la qualité d’image pulmonaire. Les angles établis sur base anthropomorphique sont inadéquats. Le système risque d’engendrer un excès d’irradiation. Un tel système doit être évalué avant sa mise en œuvre car il peut engendrer une augmentation plutôt qu’une réduction de l’irradiation.Concernant la régulation des limites de doses, deux travaux s’intéressent à leur variabilité en fonction de la taille des échantillons en TDM et en radiographie. En se conformant aux petits échantillons exigés dans les enquêtes périodiques, les résultats sont très variables. Les conditions exigées sont dès lors inadéquates pour proposer des optimisations de doses et il convient d’augmenter le nombre d’examens exigés dans ces enquêtes.En perspective, les guidelines doivent continuer à être améliorés afin d’en accroître l’adhésion des prescripteurs. Les nouvelles technologies qui visent à réduire l’irradiation doivent être validées avant d’être mises en œuvre. Les enquêtes périodiques des doses délivrées en TDM et en radiographie doivent être basées sur de plus grands nombres d’examens.
Doctorat en Sciences médicales (Médecine)
info:eu-repo/semantics/nonPublished
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Robisch, Katherine A. "Search Engine Optimization: A New Literacy Practice." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1394533925.

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Books on the topic "Technical optimization"

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1943-, Marti Kurt, ed. Stochastic optimization: Numerical methods and technical applications. Berlin: Springer-Verlag, 1992.

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1943-, Marti Kurt, ed. Stochastic optimization techniques: Numerical methods and technical applications. Berlin: Springer, 2002.

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Membranes for membrane reactors: Preparation, optimization, and selection. Chichester, West Sussex: Wiley, 2011.

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Bless, Robert R. Variational trajectory optimization tool set: Technical description and user's manual. Hampton, Va: Langley Research Center, 1993.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Variational trajectory optimization tool set: Technical description and user's manual. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Variational trajectory optimization tool set: Technical description and user's manual. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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V, Kafarov V., ed. Matematicheskoe obespechenie sistem optimizat͡s︡ii, proektirovanii͡a︡ i upravlenii͡a︡ khimiko-tekhnologicheskimi prot͡s︡essami. Moskva: Moskovskiĭ khimiko-tekhnologicheskiĭ in-t im. D.I. Mendeleeva, 1986.

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Robbins, Lanny, and Lanny Robbins. Distillation control, optimization, and tuning: Fundamentals and strategies. Boca Raton: CRC Press, 2011.

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Distillation control, optimization, and tuning: Fundamentals and strategies. Boca Raton: CRC Press, 2011.

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Rangaiah, Gade Pandu, and Adrian Bonilla-Petriciolet. Multi-objective optimization in chemical engineering: Developments and applications. Chichester, West Sussex, United Kingdom: Wiley, A John Wiley & Sons, Ltd., Publication, 2013.

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Book chapters on the topic "Technical optimization"

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Harris, Chris. "Technical Appendices." In Utility and Welfare Optimization, 205–33. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1007/978-1-137-37100-3_7.

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Gil-Aluja, Jaime. "The incidence of technical progress on investments." In Applied Optimization, 239–73. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-5328-7_10.

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Dupačová, Jitka. "Reflections on Robust Optimization." In Stochastic Programming Methods and Technical Applications, 111–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-45767-8_6.

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Ermoliev, Yuri, and Vladimir Norkin. "On Constrained Discontinuous Optimization." In Stochastic Programming Methods and Technical Applications, 128–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-45767-8_7.

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Reintjes, Christian. "Physical and Technical Background." In Algorithm-Driven Truss Topology Optimization for Additive Manufacturing, 9–43. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-36211-9_2.

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Breitung, K., F. Casciati, and L. Faravelli. "Optimization Methods in Structural Reliability." In Stochastic Programming Methods and Technical Applications, 359–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-45767-8_22.

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Morabito, F. C., D. Marino, and B. Ricca. "Мanagement of uncertainty in environmental problems: an assesment of technical aspects and policies." In Applied Optimization, 747–99. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4613-0285-8_13.

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Seeram, Euclid. "Digital Radiography: A Technical Review." In Dose Optimization in Digital Radiography and Computed Tomography, 13–24. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22871-1_2.

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Seeram, Euclid. "Computed Tomography: A Technical Review." In Dose Optimization in Digital Radiography and Computed Tomography, 41–56. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22871-1_4.

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Ayora, Ricardo Vega, and Nicolina Praß. "Graphic Approach to Energy Optimization through Artificial Intelligence." In The Monetization of Technical Data, 265–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66509-1_16.

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Conference papers on the topic "Technical optimization"

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"Technical program." In 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO). IEEE, 2013. http://dx.doi.org/10.1109/peoco.2013.6564657.

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"Technical program." In 2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO). IEEE, 2014. http://dx.doi.org/10.1109/peoco.2014.6814517.

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"Technical program overview." In 2010 4th International Power Engineering and Optimization Conference (PEOCO). IEEE, 2010. http://dx.doi.org/10.1109/peoco.2010.5559259.

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"Technical program overview." In 2012 IEEE International Power Engineering and Optimization Conference (PEOCO). IEEE, 2012. http://dx.doi.org/10.1109/peoco.2012.6230934.

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"Technical Program Committee." In 2018 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO). IEEE, 2018. http://dx.doi.org/10.1109/iccairo.2018.00007.

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"Technical program overview." In 2011 5th International Power Engineering and Optimization Conference (PEOCO 2011). IEEE, 2011. http://dx.doi.org/10.1109/peoco.2011.5970467.

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"Technical Papers." In 2018 28th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS). IEEE, 2018. http://dx.doi.org/10.1109/patmos.2018.8464174.

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"Technical Program Committee." In 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO). IEEE, 2019. http://dx.doi.org/10.1109/icmsao.2019.8880386.

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"Technical Program Committee." In 2021 International Seminar on Machine Learning, Optimization, and Data Science (ISMODE). IEEE, 2022. http://dx.doi.org/10.1109/ismode53584.2022.9742969.

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"Technical Sessions." In 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2020. http://dx.doi.org/10.1109/icrito48877.2020.9197898.

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Reports on the topic "Technical optimization"

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Lenee-Bluhm, Pukha. Structural Optimization Final Technical Report. Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1737349.

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Cornacchia, M., P. Craievich, S. Di Mitri, I. Pogorelov, J. Qiang, M. Venturini, A. Zholents, D. Wang, and R. Warnock. FERMI&Elettra Accelerator Technical Optimization FinalReport. Office of Scientific and Technical Information (OSTI), July 2006. http://dx.doi.org/10.2172/901513.

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Cornacchia, M., P. Craievich, S. Di Mitri, I. Pogorelov, J. Qiang, M. Venturini, A. Zholents, D. Wang, and R. Warnock. FERMI&Elettra Accelerator Technical Optimization Final Report. Office of Scientific and Technical Information (OSTI), April 2007. http://dx.doi.org/10.2172/903010.

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Fawley, William, Gregory Penn, Enrico Allaria, Giovanni De Ninno, and William Graves. FERMI@Elettra FEL Design Technical Optimization Final Report. Office of Scientific and Technical Information (OSTI), July 2006. http://dx.doi.org/10.2172/891827.

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Aravena, I., D. Rajan, G. Patsakis, S. Oren, and J. Rios. Stochastic Optimization for Grid ResilienceFY18 Final Technical Report. Office of Scientific and Technical Information (OSTI), May 2019. http://dx.doi.org/10.2172/1635780.

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Cole, J. I., R. S. Daum, H. Tsai, D. L. Porter, T. R. Allen, and B. D. Wirth. Nuclear energy plant optimization (NEPO) final scientific/technical report. Office of Scientific and Technical Information (OSTI), February 2004. http://dx.doi.org/10.2172/834694.

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Lidia, Steven M., Giuseppe Penco, and Mauro Trovo'. Technical Design and Optimization Study for the FERMI@Elettra FELPhotoinjector. Office of Scientific and Technical Information (OSTI), June 2006. http://dx.doi.org/10.2172/886082.

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Byrd, John, John Corlett, Larry Doolittle, William Fawley, Steven Lidia, Gregory Penn, Alex Ratti, et al. The FERMI @ Elettra Technical Optimization Study: PreliminaryParameter Set and Initial Studies. Office of Scientific and Technical Information (OSTI), August 2005. http://dx.doi.org/10.2172/885243.

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Knupp, Patrick. Unstructured Primal-Dual Mesh Improvement: Target Matrix Optimization Paradigm (Final Technical Report). Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1485105.

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O'Leary, Dianne P., and Andre Tits. Award DE-FG02-04ER52655 Final Technical Report: Interior Point Algorithms for Optimization Problems. Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1126783.

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