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Relevant bibliographies by topics / Nonlinear optimization / Dissertations / Theses

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Dissertations / Theses on the topic 'Nonlinear optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Skrobanski, Jerzy Jan. "Optimization subject to nonlinear constraints." Thesis, Imperial College London, 1986. http://hdl.handle.net/10044/1/7331.

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2

Strandberg, Mattias. "Portfolio Optimization with NonLinear Instruments." Thesis, Umeå universitet, Institutionen för fysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-137233.

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3

Denton, Trip Shokoufandeh Ali. "Subset selection using nonlinear optimization /." Philadelphia, Pa. : Drexel University, 2007. http://hdl.handle.net/1860/1763.

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4

Robinson, Daniel P. "Primal-dual methods for nonlinear optimization." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3274512.

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Thesis (Ph. D.)--University of California, San Diego, 2007.<br>Title from first page of PDF file (viewed October 4, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 173-175).

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5

Raj, Ashish. "Evolutionary Optimization Algorithms for Nonlinear Systems." DigitalCommons@USU, 2013. http://digitalcommons.usu.edu/etd/1520.

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Many real world problems in science and engineering can be treated as optimization problems with multiple objectives or criteria. The demand for fast and robust stochastic algorithms to cater to the optimization needs is very high. When the cost function for the problem is nonlinear and non-differentiable, direct search approaches are the methods of choice. Many such approaches use the greedy criterion, which is based on accepting the new parameter vector only if it reduces the value of the cost function. This could result in fast convergence, but also in misconvergence where it could lead the

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6

Chryssochoos, Ioannis. "Optimization based control of nonlinear systems." Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399165.

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7

Wilson, Simon Paul. "Aircraft routing using nonlinear global optimization." Thesis, University of Hertfordshire, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275117.

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8

Soto, Jonathan. "Nonlinear contraction tools for constrained optimization." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62538.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 77-78).<br>This thesis derives new results linking nonlinear contraction analysis, a recent stability theory for nonlinear systems, and constrained optimization theory. Although dynamic systems and optimization are both areas that have been extensively studied [21], few results have been achieved in this direction because strong enough tools for dynamic systems were not available. Contraction analysis provides the neces

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9

Prokopyev, Oleg A. "Nonlinear integer optimization and applications in biomedicine." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0015226.

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10

Zhang, Hongchao. "Gradient methods for large-scale nonlinear optimization." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0013703.

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11

Grothey, Andreas. "Decomposition methods for nonlinear nonconvex optimization problems." Thesis, University of Edinburgh, 2001. http://hdl.handle.net/1842/12065.

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The subject of this thesis is the development of ways to solve structured nonlinear nonconvex programming problems by a decomposition procedure. This thesis extends the existing decomposition methods for linear or convex problems to the nonconvex nonlinear case. The algorithms presented are in principle applicable to a general nonlinear problem, although in order to be efficient compared with a nondecomposed method a certain structure is highly advantageous. Two main ideas are explored. In the first augmented Lagrangians are employed to relax some key constraints of the subproblems, thus guara

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12

Marsden, Christopher J. "Nonlinear dynamics of pattern recognition and optimization." Thesis, Loughborough University, 2012. https://dspace.lboro.ac.uk/2134/10694.

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We associate learning in living systems with the shaping of the velocity vector field of a dynamical system in response to external, generally random, stimuli. We consider various approaches to implement a system that is able to adapt the whole vector field, rather than just parts of it - a drawback of the most common current learning systems: artificial neural networks. This leads us to propose the mathematical concept of self-shaping dynamical systems. To begin, there is an empty phase space with no attractors, and thus a zero velocity vector field. Upon receiving the random stimulus, the ve

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13

Boroson, Ethan Rain. "Optimization Under Uncertainty of Nonlinear Energy Sinks." Thesis, The University of Arizona, 2015. http://hdl.handle.net/10150/595972.

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Nonlinear Energy Sinks (NESs) are a promising technique for passively reducing the amplitude of vibrations. Through nonlinear stiffness properties, a NES is able to passively absorb energy. Unlike a traditional Tuned Mass Damper (TMD), NESs do not require a specific tuning and absorb energy from a wide range of frequencies. However, each NES is only efficient over a limited range of excitations. In addition, NES efficiency is extremely sensitive to perturbations in design parameters or loading, demonstrating a nearly discontinuous efficiency. Therefore, in order to optimally design a NES, unce

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14

Shapoval, Andriy. "Topics in linear and nonlinear discrete optimization." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53460.

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This work contributes to modeling, theoretical, and practical aspects of structured Mathematical Programming problems. Many real-world applications have nonlinear characteristics and can be modeled as Mixed Integer Nonlinear Programming problems (MINLP). Modern global solvers have significant difficulty handling large-scale instances of them. Several convexification and underestimation techniques were proposed in the last decade as a part of the solution process, and we join this trend. The thesis has three major parts. The first part considers MINLP problems containing convex (in the sense of

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15

Boccia, Andrea. "Optimization based control of nonlinear constrained systems." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24700.

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This thesis is in the field of Optimal Control. It addresses research questions concerning both the properties of optimal controls and also schemes for control system stabilization based on the solution of optimal control problems. The first part is concerned with the derivation of necessary conditions of optimality for two classes of optimal control problems not covered by earlier theory. The first is the class of optimal control problems with a combination of mixed control-state constraints and pure state constraints in which the dynamics are described by a differential inclusion under weake

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16

Chow, Raymond W. L. Carleton University Dissertation Information and Systems Science. "Gate level transistor sizing by nonlinear optimization." Ottawa, 1992.

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17

Callen, Bryan. "NONLINEAR OPTIMIZATION AS IT APPLIES TO CURVEFITTING." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/theses/1494.

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The purpose of this thesis is to examine different methods of curve-fitting through the process of nonlinear least squares. Specifically, Newton's method, Gauss Newton's method, Levenberg-Marquardt, Quasi Newton methods, and Nonlinear Conjugate Gradient method. The differing convergence rates, as well as necessary initial conditions are explored for a variety of methods. The concepts of the line search and trust region are also examined.

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18

Sitharaman, Sai Ganesh. "Nonlinear continuous feedback controllers." Texas A&M University, 2004. http://hdl.handle.net/1969.1/363.

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Packet-switched communication networks such as today's Internet are built with several interconnected core and distribution packet forwarding routers and several sender and sink transport agents. In order to maintain stability and avoid congestion collapse in the network, the sources control their rate behavior and voluntarily adjust their sending rates to accommodate other sources in the network. In this thesis, we study one class of sender rate control that is modeled using continuous first-order differential equation of the sending rates. In order to adjust the rates appropriately, the netw

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19

Mehlman, Stephanie A. "Modeling mixtures in chemistry, some nonlinear optimization problems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ36370.pdf.

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20

Claewplodtook, Pana. "Optimization of nonlinear dynamic systems without Lagrange multipliers." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1178654973.

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21

NediÌc, Jelena. "A dynamical systems view of nonlinear optimization problems." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408684.

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22

Bremberg, Sebastian. "Calibration of Multilateration Positioning Systems via Nonlinear Optimization." Thesis, KTH, Optimeringslära och systemteori, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-173224.

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This master thesis presents an evaluation of a method for improving performance of sensor positioning in a network of emitters. The positioning method used for the analysis is Time Difference of Arrival, TDOA, a multilateration technique based on measurements of differences in signal travel time between a pair of synchronous and spatially separated pairs of emitters and a sensor. The method in question aims at reducing positioning errors caused by errors in initially reported emitter positions as well as network synchronization errors by using already known sensor positions to re-calibrate the

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23

Li, Zhongwei. "Reliability-Based Design Optimization of Nonlinear Beam-Columns." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/82958.

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This dissertation addresses the ultimate strength analysis of nonlinear beam-columns under axial compression, the sensitivity of the ultimate strength, structural optimization and reliability analysis using ultimate strength analysis, and Reliability-Based Design Optimization (RBDO) of the nonlinear beam-columns. The ultimate strength analysis is based on nonlinear beam theory with material and geometric nonlinearities. Nonlinear constitutive law is developed for elastic-perfectly-plastic beam cross-section consisting of base plate and T-bar stiffener. The analysis method is validated using co

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24

LIN, JEEN. "SHAPE OPTIMIZATION OF NONLINEAR STRUCTURES UNDER FATIGUE LOADING." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin982764930.

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25

Wang, Chen. "Variants of Deterministic and Stochastic Nonlinear Optimization Problems." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112294/document.

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Les problèmes d’optimisation combinatoire sont généralement réputés NP-difficiles, donc il n’y a pas d’algorithmes efficaces pour les résoudre. Afin de trouver des solutions optimales locales ou réalisables, on utilise souvent des heuristiques ou des algorithmes approchés. Les dernières décennies ont vu naitre des méthodes approchées connues sous le nom de métaheuristiques, et qui permettent de trouver une solution approchées. Cette thèse propose de résoudre des problèmes d’optimisation déterministe et stochastique à l’aide de métaheuristiques. Nous avons particulièrement étudié la méthode de

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26

Tran, Ngoc Nguyen. "Infeasibility detection and regularization strategies in nonlinear optimization." Thesis, Limoges, 2018. http://www.theses.fr/2018LIMO0059/document.

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Dans cette thèse, nous nous étudions des algorithmes d’optimisation non linéaire. D’une part nous proposons des techniques de détection rapide de la non-réalisabilité d’un problème à résoudre. D’autre part, nous analysons le comportement local des algorithmes pour la résolution de problèmes singuliers. Dans la première partie, nous présentons une modification d’un algorithme de lagrangien augmenté pour l’optimisation avec contraintes d’égalité. La convergence quadratique du nouvel algorithme dans le cas non-réalisable est démontrée théoriquement et numériquement. La seconde partie est dédiée à

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27

Wu, Dawen. "Solving Some Nonlinear Optimization Problems with Deep Learning." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG083.

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Cette thèse considère quatre types de problèmes d'optimisation non linéaire, à savoir les jeux de bimatrice, les équations de projection non linéaire (NPEs), les problèmes d'optimisation convexe non lisse (NCOPs) et les jeux à contraintes stochastiques (CCGs). Ces quatre classes de problèmes d'optimisation non linéaire trouvent de nombreuses applications dans divers domaines tels que l'ingénierie, l'informatique, l'économie et la finance. Notre objectif est d'introduire des algorithmes basés sur l'apprentissage profond pour calculer efficacement les solutions optimales de ces problèmes d'optim

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28

Lin, Chin-Yee. "Interior point methods for convex optimization." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/15044.

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29

Handley-Schachler, Sybille H. "Applications of parallel processing to optimization." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240512.

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30

Lee, Haewon. "Nonlinear evolution equations and optimization problems in Banach spaces." Ohio : Ohio University, 2005. http://www.ohiolink.edu/etd/view.cgi?ohiou1127498683.

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31

Yamakawa, Yuya. "Studies on Optimization Methods for Nonlinear Semidefinite Programming Problems." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199446.

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32

Kwok, Terence 1973. "Neural networks with nonlinear system dynamics for combinatorial optimization." Monash University, School of Business Systems, 2001. http://arrow.monash.edu.au/hdl/1959.1/8928.

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33

Schlueter, Martin. "Nonlinear mixed integer based optimization technique for space applications." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3101/.

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In this thesis a new algorithm for mixed integer nonlinear programming (MINLP) is developed and applied to several real world applications with special focus on space applications. The algorithm is based on two main components, which are an extension of the Ant Colony Optimization metaheuristic and the Oracle Penalty Method for constraint handling. A sophisticated implementation (named MIDACO) of the algorithm is used to numerically demonstrate the usefulness and performance capabilities of the here developed novel approach on MINLP. An extensive amount of numerical results on both, comprehens

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34

Dunatunga, Manimelwadu Samson 1958. "SUCCESSIVE TWO SEGMENT SEPARABLE PROGRAMMING FOR NONLINEAR MINIMAX OPTIMIZATION." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/275509.

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35

Tsao, Lu-Ping 1959. "INTERACTIVE NONLINEAR PROGRAMMING (OPTIMIZATION, NLP, DARE/INTERACTIVE, DEVELOPMENT SYSTEM)." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/291293.

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36

Foley, Dawn Christine. "Short horizon optimal control of nonlinear systems via discrete state space realization." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/16803.

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37

Satir, Sarp. "Modeling and optimization of capacitive micromachined ultrasonic transducers." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/54303.

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The objective of this research is to develop large signal modeling and optimization methods for Capacitive Micromachined Ultrasonic Transducers (CMUTs), especially when they are used in an array configuration. General modeling and optimization methods that cover a large domain of CMUT designs are crucial, as many membrane and array geometry combinations are possible using existing microfabrication technologies. Currently, large signal modeling methods for CMUTs are not well established and nonlinear imaging techniques utilizing linear piezoelectric transducers are not applicable to CMUTs becau

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38

Akteke-ozturk, Basak. "New Approaches To Desirability Functions By Nonsmooth And Nonlinear Optimization." Phd thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612649/index.pdf.

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Desirability Functions continue to attract attention of scientists and researchers working in the area of multi-response optimization. There are many versions of such functions, differing mainly in formulations of individual and overall desirability functions. Derringer and Suich&rsquo<br>s desirability functions being used throughout this thesis are still the most preferred ones in practice and many other versions are derived from these. On the other hand, they have a drawback of containing nondifferentiable points and, hence, being nonsmooth. Current approaches to their optimization, which a

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39

Thekale, Alexander [Verfasser]. "Trust-Region Methods for Simulation Based Nonlinear Optimization / Alexander Thekale." Aachen : Shaker, 2011. http://d-nb.info/1071528785/34.

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40

Mitradjieva-Daneva, Maria. "Feasible Direction Methods for Constrained Nonlinear Optimization : Suggestions for Improvements." Doctoral thesis, Linköping : Department of Mathematics, Linköping University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8811.

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41

Pajot, Joseph M. "Topology optimization of geometrically nonlinear structures including thermo-mechanical coupling." Diss., Connect to online resource, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3219000.

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42

Petersson, Daniel. "A Nonlinear Optimization Approach to H2-Optimal Modeling and Control." Doctoral thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93324.

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Mathematical models of physical systems are pervasive in engineering. These models can be used to analyze properties of the system, to simulate the system, or synthesize controllers. However, many of these models are too complex or too large for standard analysis and synthesis methods to be applicable. Hence, there is a need to reduce the complexity of models. In this thesis, techniques for reducing complexity of large linear time-invariant (lti) state-space models and linear parameter-varying (lpv) models are presented. Additionally, a method for synthesizing controllers is also presented. Th

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43

Joham, Michael [Verfasser]. "Optimization of Linear and Nonlinear Transmit Signal Processing / Michael Joham." Aachen : Shaker, 2004. http://d-nb.info/1170537405/34.

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44

Vasudevan, Deepak. "Water Distribution Networks: Leakage Management using Nonlinear Optimization of Pressure." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246095.

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The eective management of water distribution systems is gaining tremendousfocus within the scientic community thanks to the Internet of Things.This report is an exploration attempt into the mathematical optimization ofa water distribution network under the inuence of leakages caused by deteriorationwithin the distribution network. The optimization process is carriedout in a two phase manner involving the optimal placement of pressure valves,followed by the optimal control of the valves in the presence of known leakswithin the network. The optimization framework addresses the minimisationof the

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45

Coffee, Thomas Merritt. "Validated global multiobjective optimization of trajectories in nonlinear dynamical systems." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98584.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 315-349).<br>We introduce a new approach for global multiobjective optimization of trajectories in continuous nonlinear dynamical systems that can provide rigorous, arbitrarily tight bounds on the objective values and state paths realized by (Pareto-)optimal

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46

Lee, Hyesuk Kwon. "Optimization Based Domain Decomposition Methods for Linear and Nonlinear Problems." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30696.

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Optimization based domain decomposition methods for the solution of partial differential equations are considered. The crux of the method is a constrained minimization problem for which the objective functional measures the jump in the dependent variables across the common boundaries between subdomains; the constraints are the partial differential equations. First, we consider a linear constraint. The existence of optimal solutions for the optimization problem is shown as is its convergence to the exact solution of the given problem. We then derive an optimality system of partial different

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47

Haskara, Ibrahim. "Sliding mode estimation and optimization methods in nonlinear control problems." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250272986.

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48

Haskara, ?brahim. "Sliding mode estimation and optimization methods in nonlinear control problems /." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488192960166775.

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49

Herbold, Eric B. "Optimization of the dynamic behavior of strongly nonlinear heterogeneous materials." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3320788.

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Thesis (Ph. D.)--University of California, San Diego, 2008.<br>Title from first page of PDF file (viewed November 13, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 284-298).

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Haskara, İbrahim. "Sliding mode estimation and optimization methods in nonlinear control problems /." Connect to resource, 1999. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1250272986.

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