Relevant bibliographies by topics / Parametric sensitivity

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Parametric sensitivity'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Parametric sensitivity"

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Perumal, Thanner M., and Rudiyanto Gunawan. "Impulse Parametric Sensitivity Analysis." IFAC Proceedings Volumes 44, no. 1 (January 2011): 9686–90. http://dx.doi.org/10.3182/20110828-6-it-1002.03771.

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M. E. Teske and J. W. Barry. "Parametric Sensitivity in Aerial Application." Transactions of the ASAE 36, no. 1 (1993): 27–33. http://dx.doi.org/10.13031/2013.28310.

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Bianchi, Monica, and Pini Rita. "Sensitivity for parametric vector equilibria." Optimization 55, no. 3 (June 2006): 221–30. http://dx.doi.org/10.1080/02331930600662732.

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Kaušinis, Saulius, and Rimantas Barauskas. "Parametric Sensitivity of MEMS-Gyro." Solid State Phenomena 113 (June 2006): 495–99. http://dx.doi.org/10.4028/www.scientific.net/ssp.113.495.

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The paper presents the finite element (FE) modeling approach to sensitivity analysis of MEMS-based gyros. The FE model is employed to both studying the system’s dynamical properties and appreciation of the sensitivity of these to various influencing effects. The sensitivity functions have been obtained for adjusting the geometric parameters of the piezoelectric transducers in order to achieve the desired values of natural frequencies. Results are presented in terms of sensor performance characteristics for various design parameters and modes of operation. The modeling assumptions adopted are tested experimentally on a cantilever-shape test vehicle.
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Chemburkar, R. M., M. Morbidelli, and A. Varma. "Parametric sensitivity of a CSTR." Chemical Engineering Science 41, no. 6 (1986): 1647–54. http://dx.doi.org/10.1016/0009-2509(86)85243-5.

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Caulkins, Jonathan P. "When Parametric Sensitivity Analysis Isn't Enough." INFORMS Transactions on Education 1, no. 3 (May 2001): 88–101. http://dx.doi.org/10.1287/ited.1.3.88.

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Moos, Petr, Mirko Novák, and Zdeněk Votruba. "Parametric sensitivity in decision making process." Neural Network World 30, no. 1 (2020): 45–53. http://dx.doi.org/10.14311/nnw.2020.30.003.

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Tolsma, John E., and Paul I. Barton. "Hidden Discontinuities and Parametric Sensitivity Calculations." SIAM Journal on Scientific Computing 23, no. 6 (January 2002): 1861–74. http://dx.doi.org/10.1137/s106482750037281x.

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Tjahjadi, Mahari, Santosh K. Gupta, Massimo Morbidelli, and Arvind Varma. "Parametric sensitivity in tubular polymerization reactors." Chemical Engineering Science 42, no. 10 (1987): 2385–94. http://dx.doi.org/10.1016/0009-2509(87)80112-4.

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Tambe, S. S., S. R. Inamdar, J. K. Bandopadhyay, and B. D. Kulkarni. "Parametric sensitivity of complex reaction systems." Chemical Engineering Journal 46, no. 1 (April 1991): 23–28. http://dx.doi.org/10.1016/0300-9467(91)80004-g.

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Dissertations / Theses on the topic "Parametric sensitivity"

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Witzgall, Zachary F. "Parametric sensitivity analysis of microscrews." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4892.

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Thesis (M.S.)--West Virginia University, 2006.
Title from document title page. Document formatted into pages; contains xi, 73 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 52-53).
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Sulieman, Hana. "Parametric sensitivity analysis in nonlinear regression." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0004/NQ27858.pdf.

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Gholami, Farnood. "Sensitivity and parametric analyses of multibody mechanical systems." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103734.

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Sensitivity and parametric analyses are powerful tools in assisting engineers to improve design, control and operation of mechanical systems. Sensitivity derivatives help designers to understand the behaviour of the system at hand and modify the design to achieve more satisfactory results. Moreover, these derivatives are beneficial in optimum design, optimal control algorithms, and parameter identification methods. In addition to all these applications, sensitivity derivatives can be used to develop methods for parametric analysis of multibody systems; the formulation of such a method is also described in this thesis. The thesis includes several sections: first, the sensitivity analysis of multibody systems is categorized into two groups: the inverse- and the forward-dynamics based problems. Next, an overview of the literature on different mathematical methods for calculation of the sensitivity derivatives is presented. Then, the dynamics parametric analysis problem is formulated. A parametric analysis method is presented, which relies on the interpretation of a linear space based on sensitivity derivatives. Further to the analysis mentioned above, a parametric analysis toolbox is created in the Simulink environment which complements the Multibody Toolbox (MuT) developed by the Canadian Space Agency. To illustrate the material,two problems are considered to apply the proposed sensitivity and parametric analyses approach on them. First, parametric analysis of contact/impact dynamics for a five-bar linkage is performed. The performance indicator is the pre-impact constrained motion space kinetic energy for contact/impact problems. The performance indicators of these contact/impact systems are related to characterizing the intensity of the contact transition during a change in topology. Second, a combined physical-virtual system is considered and effect of the variation of the inertial parameters of the virtual model on the joint torque variations of such a system is investigated. Simulation and experiments are performed using a setup that contains a physical device and a virtual dynamic system. Experimental results are compared to the simulation results.
Les analyses paramétriques et de sensibilités sont des outils puissants qui aide les ingénieurs à améliorer la conception, le contrôle et le fonctionnement des systèmes mécaniques. Les produits dérivés de sensibilité aide les concepteurs à comprendre le comportement du système à portée de main et à modifier la conception à fin obtenir des résultats plus satisfaisants. En outre, ces dérivés sont bénéfiques pour la conception optimale, pour les algorithmes de contrôle optimal ainsi que pour les méthodes d'identification paramétriques. De plus, les produits dérivés de sensibilité peuvent être utilisés à fin de développer des méthodes d'analyse paramétrique des systèmes multicorps; la formulation d'une telle méthode est décrite dans cette thèse. La thèse comprend plusieurs sections: dans la première section, l'analyse de sensibilité des systèmes multicorps sont classés en deux groupes: les problèmes fondés sur la dynamique inverse et ceux fondés sur la dynamique avant. Dans une autre sections, un aperçu de la littérature sur les différentes méthodes mathématiques pour le calcul de sensibilité des dérivés est présentée. Ensuite, l'analyse paramétrique dynamique est formulée. Cette méthode d'analyse s'appuie sur l'interprétation d'un espace linéaire basée sur le produit dérivé de sensibilités. De plus, basée sur cette méthode, une boîte à outils d'analyse paramétrique est créé dans l'environnement Simulink qui complémente la palette d'outils multicorps (Mut) développés par l'Agence spatiale canadienne. Pour démontrer l'applicabilité de l'approche proposées, deux problèmes sont considérés. Tout d'abord, l'analyse paramétrique de contact et d'impact dynamique d'un lien de cinq-barre est effectuée. Pour cet exemple, les indicateurs de performance sont liés a la caractérisation de l'intensité du contact de transition durant un changement de topologie. Dans le second exemple, un système combiné physique-virtuel est considérée et l'effet de la variation des paramètres d'inertie du mode virtuels sur les variations de couples sont investigués. Des simulations et expériences sont effectuée en utilisant une configuration qui contient un dispositif physique et un système dynamique virtuel. Enfin, les résultats expérimentaux sont comparés aux résultats de la simulation.
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Gray, W. Steven. "A geometric approach to the parametric sensitivity of dynamical systems." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/15632.

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Duke, John R. "A Markov model for parametric sensitivity analysis of Crusader effectiveness." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA316985.

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Thesis (M.S. in Operations Research) Naval Postgraduate School, June 1996.
Thesis advisor(s): Donald P. Gaver, Patricia A. Jacobs. "June 1996." Includes bibliographical references. Also available online.
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Chua, Hung Soon. "Shape sensitivity of parametric CAD models and strategies for their improvement." Thesis, Queen's University Belfast, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546029.

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Chai, Wenqi. "Global sensitivity analysis on vibro-acoustic composite materials with parametric dependency." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEC037/document.

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Avec le développement rapide des modèles mathématiques et des outils de simulation, le besoin des processus de quantification des incertitudes a été bien augmenté. L'incertitude paramétrique et la groupe des nombreux décisions sont aujourd’hui les deux barrières principales dans la résolution des grandes problèmes systématiques.Capable de proportionner l'incertitude de la sortie sur celle des entrées, l’Analyse de Sensibilité Globale (GSA) est une solution fiable pour la quantification de l’incertitude. Parmi plusieurs algorithmes de GSA, Fourier Amplitude Sensitivity Analysis (FAST) est l’un des choix les plus populaires des chercheurs. Basé sur ANOVA-HDMR (ANalysis Of VAriance - High Dimensional Model Representation), il est solide en mathématique est efficace en calcul.Malheureusement, la décomposition unique d’ANOVA-HDMR se dépend sur l’indépendance des entrées. À cause de cela, il y a pas mal de cas industriels qui ne peut pas se traiter par FAST, particulièrement pour ceux qui donnent uniquement les échantillons mais sans lois de distribution. Sous cette demande, deux méthode extensifs de FAST avec design de corrélation sont proposées et étudiées dans la recherche. Parmi les deux méthodes, FAST-c s’est basé sur les distributions et FAST-orig s’est basé sur les échantillons.Comme applications et validations, multiples problèmes vibroacoustiques se sont traités dans la recherche. Les matériaux acoustiques avec soustructures, sont des candidats parfaits pour tester FAST-c et FAST-orig. Deux application sont présentées dans la première partie de la thèse, après l’état de l’arts. Les modèles choisis sont matérial poroélastique et structures composite sandwich, dont les propriétés mécaniques sont tous fortement influencées par les paramètres géométriques microscopique ou mesoscopique. D’avoir la méthode de FAST originale comparée avec les deux nouvelles, on trouve bien plus d’information sur la performance vibroacoustique de ces matériaux.Déjà répondu à la demande de GSA sur les modèles avecs les variables dépendantes, la deuxième partie de la thèse contient plus de recherches reliées avec FAST. D’abord FAST est pris en comparaison avec Random Forest, une algorithme bien connu de data-mining. Leurs erreurs potentiels et la possibilité de fonctioner ensemble sont discutés. Et dans les chapitres suivies, plus d’application de FAST sont présentées. Les méthodes sont appliquées sous plusieurs différente conditions. Une modèle de structure périodique qui contient des corrélation parmi les unités nous a en plus forcé à développer une nouvelle FAST-pe méthode. Dans ces applications, les designs des processus préliminaires et les stratégies d’échantillonages sont des essences à présenter
With rapid development of mathematical models and simulation tools, the need of uncertainty quantification process has grown higher than ever before. Parametric uncertainties and overall decision stacks are nowadays the two main barriers in solving large scale systematic problem.Global Sensitivity Analysis (GSA) is one reliable solution for uncertainty quantification which is capable to assess the uncertainty of model output on its inputs’. Among several GSA algorithms, Fourier Amplitude Sensitivity Test (FAST) is one of the most popular choices of researchers. Based on ANOVA-HDMR (ANalysis Of VAriance - High Dimensional Model Representation), it is both mathematically solid and computationally efficient.One unfortunate fact is that the uniqueness of ANOVA-HDMR relies on the independency of input variables. It makes FAST unable to treat many industrial cases especially for those with only datasets but not distribution functions to be found. To answer the needs, two extended FAST methods with correlation design are proposed and further studied in this research. Among them FAST-c is distribution-based and FAST-orig is data-based.As a frame of validation and application, a number of vibroacoustic problems are dealt with in this research. Vibroacoustic materials with substructures, are perfect test candidates for FAST-c and FAST-orig. Two application cases are presented in the first part of this thesis, following the literature review. The models chosen here are poroelastic material and sandwich composite structures, both having their mechanical properties hugely influenced by their microscopic and mesoscopic geometric parameters. Getting the original FAST method compared to the two with correlation design, many different features on materials’ vibroacoustic performance are latter discovered.Having got an answer for GSA on models with dependent variables, the second part of this thesis contains more extended researches related to FAST. It is taken into comparison with Random Forest, a well-known data-mining algorithm. The potential error of both algorithms are analyzed and the possibility of joint application is discussed. In the following chapters, more applications of FAST-series methods are reported. They are applied under various conditions where another improved version named FAST-pe is developed to treat a model of periodic structures with correlation among each units. Upon these FAST application cases, the design of preliminary process and the sampling strategies is the core part to be introduced
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Zubairi, Mohammad Shaheer. "Using parametric sensitivity analysis to detect design intent in CAD assemblies." Thesis, Queen's University Belfast, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.675418.

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The intellectual arrangement of parts in an assembly is a difficult task. Modern CAD environments contain tools which allow CAD part models to be brought together and problems such as clashes to be discovered. Clashes occur when components in an assembly unintentionally violate others. If clashes are not identified and designed out before manufacture, the physical parts will not assemble together without rework. This work introduces a novel approach for eliminating clashes by identifying which parameters defining the part features in a CAD assembly need to change, and by how much, to eliminate the clashes. Consideration is given to the fact that it is sometimes preferable to modify some components in an assembly rather than others, and that some components in an assembly cannot be modified as the designer does not have control over their shape. One of the interesting insights offered by this work is that certain aspects of design intent related to component interfaces in an assembly can be enforced by identifying the faces between the different components, and understanding the effect of parameters which define the model has on them. The work presented in this thesis determines which parameters should be related to one another and, more importantly, how parametric sensitivities are used to: (a) identify parametric relationships between different parameters in the CAD assembly, and (b) constrain the assembly using the identified relationships to define the design intent of the assembly. The developed processes advances the state-of-the-art CAD systems by explicitly determining the relationships between the parameters and eliminating clashes in CAD models. A well-captured design intent for assembly models will enable the designer to design out manufacturing and assembly difficulties at an early product development stage. The approaches have been tested on a number of example models in this thesis.
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Louh, Hsing-Duan. "Parametric Sensitivity in a Model of a Motor Pattern Generator in Aplysia." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case159558630128468.

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Giovannini, Alessandro. "Parametric Sensitivity Analysis of the Most Recent Computational Models of Rabbit Cardiac Pacemaking." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4800/.

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The cellular basis of cardiac pacemaking activity, and specifically the quantitative contributions of particular mechanisms, is still debated. Reliable computational models of sinoatrial nodal (SAN) cells may provide mechanistic insights, but competing models are built from different data sets and with different underlying assumptions. To understand quantitative differences between alternative models, we performed thorough parameter sensitivity analyses of the SAN models of Maltsev & Lakatta (2009) and Severi et al (2012). Model parameters were randomized to generate a population of cell models with different properties, simulations performed with each set of random parameters generated 14 quantitative outputs that characterized cellular activity, and regression methods were used to analyze the population behavior. Clear differences between the two models were observed at every step of the analysis. Specifically: (1) SR Ca2+ pump activity had a greater effect on SAN cell cycle length (CL) in the Maltsev model; (2) conversely, parameters describing the funny current (If) had a greater effect on CL in the Severi model; (3) changes in rapid delayed rectifier conductance (GKr) had opposite effects on action potential amplitude in the two models; (4) within the population, a greater percentage of model cells failed to exhibit action potentials in the Maltsev model (27%) compared with the Severi model (7%), implying greater robustness in the latter; (5) confirming this initial impression, bifurcation analyses indicated that smaller relative changes in GKr or Na+-K+ pump activity led to failed action potentials in the Maltsev model. Overall, the results suggest experimental tests that can distinguish between models and alternative hypotheses, and the analysis offers strategies for developing anti-arrhythmic pharmaceuticals by predicting their effect on the pacemaking activity.
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Books on the topic "Parametric sensitivity"

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Varma, Arvind. Parametric sensitivity in chemical systems. Cambridge, U.K: Cambridge University Press, 1999.

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Gal, Tomas, and Harvey J. Greenberg, eds. Advances in Sensitivity Analysis and Parametric Programming. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6103-3.

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Gal, Tomas. Advances in Sensitivity Analysis and Parametic Programming. Boston, MA: Springer US, 1997.

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Jan, Sokołowski. Zagadnienia analizy wrażliwości i optymalizacji parametrycznej w zadaniach sterowania optymalnego układów o parametrach rozłożonych. Warszawa: Wydawnictwa Politechniki Warszawskiej, 1985.

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Kesoretskikh, Ivan, and Sergey Zotov. Landscape vulnerability: concept and assessment. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/1045820.

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The monograph presents a methodology for assessing the vulnerability of landscapes to external influences. A comparative analysis of the concepts of "stability", "sensitivity", "vulnerability" in relation to natural complexes. An overview of existing methods for assessing the vulnerability of natural complexes is presented. The author's method of assessing the vulnerability of landscapes to anthropogenic impacts is described. The methodology is based on: selection and justification of criteria for assessing the vulnerability of landscapes; preparation of a parametric matrix and gradation of assessment criteria in accordance with the developed vulnerability classes; calculation of weighting factors of vulnerability assessment parameters; selection of optimal territorial operational unit for landscape vulnerability assessment. The method is implemented in the GIS environment "Assessment of vulnerability of landscapes of the Kaliningrad region to anthropogenic impacts", created by the authors using modern geoinformation products. The specificity of spatial differentiation of different landscapes in terms of vulnerability to anthropogenic impacts at the regional and local levels is revealed. It is stated that the use of the methodology for assessing the vulnerability of landscapes to anthropogenic impacts and its integration into the system of nature management will ensure a balanced account of geoecological features and environmental priorities in territorial planning. It is of interest to specialists in the field of rational nature management, environmental protection, spatial planning.
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Tomás̆, Gál, and Greenberg Harvey J, eds. Advances in sensitivity analysis and parametric programming. Boston: Kluwer Academic Publishers, 1997.

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Sensitivity, Stability and Parametric Analysis (Mathematical Programming Study, 21). Elsevier Science Publishing Company, 1985.

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A Markov Model for Parametric Sensitivity Analysis of Crusader Effectiveness. Storming Media, 1996.

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Hua, Wu, Arvind Varma, and Massimo Morbidelli. Parametric Sensitivity in Chemical Systems (Cambridge Series in Chemical Engineering). Cambridge University Press, 2005.

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United States. National Aeronautics and Space Administration., ed. Decentralized control of large-scale systems: Fixed modes, sensitivity and parametric robustness. Washington, D.C: National Aeronautics and Space Administration, 1987.

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Book chapters on the topic "Parametric sensitivity"

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Vanderbei, Robert J. "Sensitivity and Parametric Analyses." In International Series in Operations Research & Management Science, 111–24. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-74388-2_7.

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Vanderbei, Robert J. "Sensitivity and Parametric Analyses." In International Series in Operations Research & Management Science, 109–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39415-8_7.

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Vanderbei, Robert J. "Sensitivity and Parametric Analyses." In International Series in Operations Research & Management Science, 111–24. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-5662-3_7.

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Vanderbei, Robert J. "Sensitivity and Parametric Analyses." In International Series in Operations Research & Management Science, 99–109. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-1-4614-7630-6_7.

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Gautier, Antoine, Daniel Granot, and Frieda Granot. "Qualitative Sensitivity Analysis." In Advances in Sensitivity Analysis and Parametric Programming, 257–309. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6103-3_8.

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Feng, Yu, and Mohamed Yagoubi. "Parametric Sensitivity Constrained LQ Control." In Robust Control of Linear Descriptor Systems, 105–18. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3677-4_7.

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Adhikari, Sondipon. "Parametric Sensitivity of Damped Systems." In Structural Dynamic Analysis with Generalized Damping Models, 1–42. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118862971.ch1.

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PAN, Ping-Qi. "Sensitivity Analysis and Parametric LP." In Linear Programming Computation, 143–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40754-3_6.

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Kaušinis, Saulius, and Rimantas Barauskas. "Parametric Sensitivity of MEMS-Gyro." In Solid State Phenomena, 495–99. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/3-908451-21-3.495.

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Robyns, Benoît, Bruno Francois, Philippe Degobert, and Jean Paul Hautier. "Theoretical Study of the Parametric Sensitivity." In Vector Control of Induction Machines, 123–53. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-901-7_4.

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Conference papers on the topic "Parametric sensitivity"

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Yang, Jianjun, Zhenyu Xia, and Bo Yang. "Parametric sensitivity analysis of maintainability design." In 2009 8th International Conference on Reliability, Maintainability and Safety (ICRMS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icrms.2009.5270131.

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Ansari, Alex, and Todd Murphey. "Minimal parametric sensitivity trajectories for nonlinear systems." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580616.

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Chammangat, Krishnan, Francesco Ferranti, Luc Knockaert, and Tom Dhaene. "Sensitivity analysis using data-driven parametric macromodels." In 2011 IEEE 15th Workshop on Signal Propagation on Interconnects (SPI). IEEE, 2011. http://dx.doi.org/10.1109/spi.2011.5898852.

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Hay, Alexander, Corinne Belley, and Dominique Pelletier. "Multi-parametric high-order flow sensitivity analysis." In 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-1912.

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Yagoubi, Mohamed. "A parametric sensitivity constrained linear quadratic controller." In 2014 22nd Mediterranean Conference of Control and Automation (MED). IEEE, 2014. http://dx.doi.org/10.1109/med.2014.6961546.

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You, Wei, Edmond Cretu, and Robert Rohling. "Improving CMUT receiving sensitivity using parametric amplification." In 2011 IEEE International Ultrasonics Symposium (IUS). IEEE, 2011. http://dx.doi.org/10.1109/ultsym.2011.0142.

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Lorandi, L., E. Hernandez, and B. Diong. "Parametric Sensitivity Analysis of Fuel Cell Dynamic Response." In Power Systems Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2004. http://dx.doi.org/10.4271/2004-01-3213.

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Boteler, L. M., M. C. Fish, and M. S. Berman. "Parametric and Sensitivity Analysis of Power Module Design." In ASME 2019 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ipack2019-6592.

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Abstract As technology becomes more electrified, thermal and power engineers need to know how to improve power modules to realize their full potential. Current power module technology involves planar ceramic-based substrates with wirebond interconnects and a detached heat sink. There are a number of well-known challenges with the current configuration including heat removal, reliability due to coefficient of thermal expansion (CTE) mismatch, and parasitic inductance. Various solutions have been proposed in literature to help solve many of these issues: alternate substrates, advanced thermal interface materials, compliant die attach, thermal ground planes, high performing heat sinks, superconducting copper, wirebondless configurations, etc. While each of these technologies have their merits, this paper will perform a holistic analysis on a power module and identify the impact of improving various technologies on the device temperature. Parametric simulations were performed to assess the impact of many aspects of power module design including material selection, device layout, and heat sink choice. Materials that have been investigated include die attach, substrate, heat spreader, and thermal interface materials. In all cases, the industry standard was compared to the state of the art to quantify the advantages and/or disadvantages of adopting the new technologies. A sensitivity analysis is also performed which shows how and where the biggest benefits could be realized when redesigning power modules and determining whether to integrate novel technologies.
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Cruz, Davila Patricia Ferreira, Renato Dourado Maia, and Leandro Nunes de Castro. "Parametric sensitivity analysis of cOptBees optimal clustering algorithm." In 2014 14th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2014. http://dx.doi.org/10.1109/isda.2014.7066266.

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Badesha, Surjit, Anthony Euler, and Larry Schroder. "Very high altitude tethered balloon parametric sensitivity study." In 34th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-579.

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Reports on the topic "Parametric sensitivity"

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Nalla, G., G. M. Shook, G. L. Mines, and K. K. Bloomfield. Parametric Sensitivity Study of Operating and Design Variables in Wellbore Heat Exchangers. Office of Scientific and Technical Information (OSTI), May 2004. http://dx.doi.org/10.2172/893479.

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DeHart, M. D. Sensitivity and parametric evaluations of significant aspects of burnup credit for PWR spent fuel packages. Office of Scientific and Technical Information (OSTI), May 1996. http://dx.doi.org/10.2172/254970.

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DeHart, M. D. Sensitivity and Parametric Evaluations of Significant Aspects of Burnup Credit for PWR Spent Fuel Packages. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/814237.

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Neale, Richard B. Final Report for Collaborative Project: Sensitivity of Atmospheric Parametric Formulations to Regional Mesh Refinement in Global Climate Simulations Using CESM-HOMME. Office of Scientific and Technical Information (OSTI), December 2015. http://dx.doi.org/10.2172/1227735.

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