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Author : Pierre Huard
Publisher : North-Holland
Page : 206 pages
File Size : 44,6 Mb
Release : 1979
Category : Mathematics
ISBN : STANFORD:36105017630034
Author : P. Huard
Publisher : Unknown
Page : 190 pages
File Size : 47,9 Mb
Release : 1979
Category : Electronic
ISBN : 072048300X
Differentiable stability in non convex and non differentiable programming; A multivalued approach to the farkas lemma; Extensions of the continuity of point-to-set maps: applications to fixed point algorithms; Composition und union of general algorithms of optimization; Modified lagrangians in convex programming and their generalizations; Extensions of Zangwill's theorem; On the lower semicontinuity of optimal sets in convex parametric optimization; A note on the continuity of the solution set of special dual optimization problems; Asymptotic properties of sequences iteratively generated by point-to-set maps; Generalized equations and their solutions; The fixed point approach to nonlinear programming; Convergence analysis for two-level algorithms of mathematical programming; A comparative study of several general convergence conditions for algorithms modeled by point-to-set maps.
Author : P. Huard
Publisher : Unknown
Page : 0 pages
File Size : 51,9 Mb
Release : 1979
Category : Electronic
ISBN : 072048300X
Differentiable stability in non convex and non differentiable programming; A multivalued approach to the farkas lemma; Extensions of the continuity of point-to-set maps: applications to fixed point algorithms; Composition und union of general algorithms of optimization; Modified lagrangians in convex programming and their generalizations; Extensions of Zangwill's theorem; On the lower semicontinuity of optimal sets in convex parametric optimization; A note on the continuity of the solution set of special dual optimization problems; Asymptotic properties of sequences iteratively generated by point-to-set maps; Generalized equations and their solutions; The fixed point approach to nonlinear programming; Convergence analysis for two-level algorithms of mathematical programming; A comparative study of several general convergence conditions for algorithms modeled by point-to-set maps.
Author : Anthony V. Fiacco
Publisher : CRC Press
Page : 460 pages
File Size : 52,7 Mb
Release : 2020-09-24
Category : Mathematics
ISBN : 9781000153668
Presents research contributions and tutorial expositions on current methodologies for sensitivity, stability and approximation analyses of mathematical programming and related problem structures involving parameters. The text features up-to-date findings on important topics, covering such areas as the effect of perturbations on the performance of algorithms, approximation techniques for optimal control problems, and global error bounds for convex inequalities.
Author : Anonim
Publisher : Unknown
Page : 556 pages
File Size : 43,7 Mb
Release : 1985
Category : Mathematical optimization
ISBN : UOM:39015046562644
Author : Yoshikazu Sawaragi,HIROTAKA NAKAYAMA,TETSUZO TANINO
Publisher : Elsevier
Page : 322 pages
File Size : 51,9 Mb
Release : 1985-09-19
Category : Mathematics
ISBN : 0080958664
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression. - Best operator approximation, - Non-Lagrange interpolation, - Generic Karhunen-Loeve transform - Generalised low-rank matrix approximation - Optimal data compression - Optimal nonlinear filtering
Author : Michael Patriksson
Publisher : Springer Science & Business Media
Page : 343 pages
File Size : 43,9 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9781475729917
Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather differently, are closely related to each other. This book is meant to help the reader understand and relate algorithms to each other in some intuitive fashion, and represents, in this respect, a consolidation of the field. The framework of algorithms presented in this book is called Cost Approxi mation. (The preface of the Ph.D. thesis [Pat93d] explains the background to the work that lead to the thesis, and ultimately to this book.) It describes, for a given formulation of a variational inequality or nonlinear programming problem, an algorithm by means of approximating mappings and problems, a principle for the update of the iteration points, and a merit function which guides and monitors the convergence of the algorithm. One purpose of this book is to offer this framework as an intuitively appeal ing tool for describing an algorithm. One of the advantages of the framework, or any reasonable framework for that matter, is that two algorithms may be easily related and compared through its use. This framework is particular in that it covers a vast number of methods, while still being fairly detailed; the level of abstraction is in fact the same as that of the original problem statement.
Author : Mokhtar S. Bazaraa,Hanif D. Sherali,C. M. Shetty
Publisher : John Wiley & Sons
Page : 867 pages
File Size : 43,5 Mb
Release : 2013-06-12
Category : Mathematics
ISBN : 9781118626306
COMPREHENSIVE COVERAGE OF NONLINEAR PROGRAMMING THEORY AND ALGORITHMS, THOROUGHLY REVISED AND EXPANDED Nonlinear Programming: Theory and Algorithms—now in an extensively updated Third Edition—addresses the problem of optimizing an objective function in the presence of equality and inequality constraints. Many realistic problems cannot be adequately represented as a linear program owing to the nature of the nonlinearity of the objective function and/or the nonlinearity of any constraints. The Third Edition begins with a general introduction to nonlinear programming with illustrative examples and guidelines for model construction. Concentration on the three major parts of nonlinear programming is provided: Convex analysis with discussion of topological properties of convex sets, separation and support of convex sets, polyhedral sets, extreme points and extreme directions of polyhedral sets, and linear programming Optimality conditions and duality with coverage of the nature, interpretation, and value of the classical Fritz John (FJ) and the Karush-Kuhn-Tucker (KKT) optimality conditions; the interrelationships between various proposed constraint qualifications; and Lagrangian duality and saddle point optimality conditions Algorithms and their convergence, with a presentation of algorithms for solving both unconstrained and constrained nonlinear programming problems Important features of the Third Edition include: New topics such as second interior point methods, nonconvex optimization, nondifferentiable optimization, and more Updated discussion and new applications in each chapter Detailed numerical examples and graphical illustrations Essential coverage of modeling and formulating nonlinear programs Simple numerical problems Advanced theoretical exercises The book is a solid reference for professionals as well as a useful text for students in the fields of operations research, management science, industrial engineering, applied mathematics, and also in engineering disciplines that deal with analytical optimization techniques. The logical and self-contained format uniquely covers nonlinear programming techniques with a great depth of information and an abundance of valuable examples and illustrations that showcase the most current advances in nonlinear problems.
Author : Kiyotaka Shimizu,Yo Ishizuka,Jonathan F. Bard
Publisher : Springer Science & Business Media
Page : 482 pages
File Size : 41,9 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461563051
The analysis and design of engineering and industrial systems has come to rely heavily on the use of optimization techniques. The theory developed over the last 40 years, coupled with an increasing number of powerful computational procedures, has made it possible to routinely solve problems arising in such diverse fields as aircraft design, material flow, curve fitting, capital expansion, and oil refining just to name a few. Mathematical programming plays a central role in each of these areas and can be considered the primary tool for systems optimization. Limits have been placed on the types of problems that can be solved, though, by the difficulty of handling functions that are not everywhere differentiable. To deal with real applications, it is often necessary to be able to optimize functions that while continuous are not differentiable in the classical sense. As the title of the book indicates, our chief concern is with (i) nondifferentiable mathematical programs, and (ii) two-level optimization problems. In the first half of the book, we study basic theory for general smooth and nonsmooth functions of many variables. After providing some background, we extend traditional (differentiable) nonlinear programming to the nondifferentiable case. The term used for the resultant problem is nondifferentiable mathematical programming. The major focus is on the derivation of optimality conditions for general nondifferentiable nonlinear programs. We introduce the concept of the generalized gradient and derive Kuhn-Tucker-type optimality conditions for the corresponding formulations.
Author : Shu-Cherng Fang,J.R. Rajasekera,H.S.J. Tsao
Publisher : Springer Science & Business Media
Page : 350 pages
File Size : 41,8 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461561316
Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. The resulting entropy optimization models have proved their usefulness with successful applications in areas such as image reconstruction, pattern recognition, statistical inference, queuing theory, spectral analysis, statistical mechanics, transportation planning, urban and regional planning, input-output analysis, portfolio investment, information analysis, and linear and nonlinear programming. While entropy optimization has been used in different fields, a good number of applicable solution methods have been loosely constructed without sufficient mathematical treatment. A systematic presentation with proper mathematical treatment of this material is needed by practitioners and researchers alike in all application areas. The purpose of this book is to meet this need. Entropy Optimization and Mathematical Programming offers perspectives that meet the needs of diverse user communities so that the users can apply entropy optimization techniques with complete comfort and ease. With this consideration, the authors focus on the entropy optimization problems in finite dimensional Euclidean space such that only some basic familiarity with optimization is required of the reader.
Author : Anthony V. Fiacco
Publisher : CRC Press
Page : 168 pages
File Size : 41,5 Mb
Release : 2020-09-23
Category : Mathematics
ISBN : 9781000116885
This book presents theoretical results, including an extension of constant rank and implicit function theorems, continuity and stability bounds results for infinite dimensional problems, and the interrelationship between optimal value conditions and shadow prices for stable and unstable programs.
Author : Albert G. Holzman
Publisher : CRC Press
Page : 392 pages
File Size : 40,6 Mb
Release : 2020-11-25
Category : Mathematics
ISBN : 9781000110272
This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.
Author : Chuan-chih Hsiung
Publisher : World Scientific
Page : 290 pages
File Size : 41,9 Mb
Release : 1983-12-01
Category : Mathematics
ISBN : 9789814520959
This is a collection of research papers published in various mathematical journals by friends, colleagues and former students of Professor Buchin Su in honor ofhis 80th birthday and 50th year of educational work.Professor Su was born in 1902 in Pingyang County, Zhejiang Province,People's Republic of China. He received the degree of Bachelor of Science inmathematics from Tohoku University, Sendai, Japan in 1927, and the degree ofDoctor of Science from the same university in 1931. After returning to Chinain 1931, he first taught at Zhejiang University in Hangzhou until 1952 when thewhole College of Science of Zhejiang University was merged into Fudan Universityin Shanghai. During his 50 years of educational work besides teaching, he alsohas taken up various administrative positions serving as Chairman, Dean, VicePresident and finally the President of Fudan University in 1978.
Author : Jean-Paul Delahaye
Publisher : Springer Science & Business Media
Page : 262 pages
File Size : 53,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642613470
The book gives a very clear and concise summary of the important fields of sequence transformations and convergence acceleration methods. Some of the outstanding features are: - precise definitions of algorithmic sequence transformations, - a study of the power of sequence transformations, - proof of negative results on acceleration methods (namely, that some sequence families are not accelerable), - new algorithms for convergence acceleration (in particular automatic selection procedures). For researchers and graduate students working in or with convergence acceleration methods and sequence transformations, this book is sure to become an important tool. This book is a contribution to the theory and practice of convergence acceleration methods. It gives a new survey point of view on the subject, with positive results (new method of acceleration) and negative results (proofs that some sequence families are not accelerable).
Author : Ioannis K. Argyros
Publisher : CRC Press
Page : 356 pages
File Size : 47,9 Mb
Release : 2022-01-21
Category : Mathematics
ISBN : 9781000536775
The theory and applications of Iteration Methods is a very fast-developing field of numerical analysis and computer methods. The second edition is completely updated and continues to present the state-of-the-art contemporary theory of iteration methods with practical applications, exercises, case studies, and examples of where and how they can be used. The Theory and Applications of Iteration Methods, Second Edition includes newly developed iteration methods taking advantage of the most recent technology (computers, robots, machines). It extends the applicability of well-established methods by increasing the convergence domain and offers sharper error tolerance. New proofs and ideas for handling convergence are introduced along with a new variety of story problems picked from diverse disciplines. This new edition is for researchers, practitioners, and students in engineering, economics, and computational sciences.