Approximation and Optimization of Discrete and Differential Inclusions

Optimal control theory has numerous applications in both science and engineering. This book presents basic concepts and principles of mathematical programming in terms of set-valued analysis and develops a comprehensive optimality theory of problems described by ordinary and partial differential inclusions. In addition to including well-recognized results of variational analysis and optimization, the book includes a number of new and important ones Includes practical examples

Produk Detail:

  • Author : Elimhan N Mahmudov
  • Publisher : Elsevier
  • Pages : 396 pages
  • ISBN : 0123884330
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKApproximation and Optimization of Discrete and Differential Inclusions

Approximation and Optimization of Discrete and Differential Inclusions

Approximation and Optimization of Discrete and Differential Inclusions
  • Author : Elimhan N Mahmudov
  • Publisher : Elsevier
  • Release : 25 August 2011
GET THIS BOOKApproximation and Optimization of Discrete and Differential Inclusions

Optimal control theory has numerous applications in both science and engineering. This book presents basic concepts and principles of mathematical programming in terms of set-valued analysis and develops a comprehensive optimality theory of problems described by ordinary and partial differential inclusions. In addition to including well-recognized results of variational analysis and optimization, the book includes a number of new and important ones Includes practical examples

Approximation and Optimization of Discrete and Differential Inclusions

Approximation and Optimization of Discrete and Differential Inclusions
  • Author : Elimhan N Mahmudov
  • Publisher : Elsevier
  • Release : 08 September 2011
GET THIS BOOKApproximation and Optimization of Discrete and Differential Inclusions

Optimal control theory has numerous applications in both science and engineering. This book presents basic concepts and principles of mathematical programming in terms of set-valued analysis and develops a comprehensive optimality theory of problems described by ordinary and partial differential inclusions. In addition to including well-recognized results of variational analysis and optimization, the book includes a number of new and important ones Includes practical examples

Advances in Computational Intelligence, Part IV

Advances in Computational Intelligence, Part IV
  • Author : Salvatore Greco,Bernadette Bouchon-Meunier,Giulianella Coletti,Mario Fedrizzi,Benedetto Matarazzo,Ronald R. Yager
  • Publisher : Springer
  • Release : 23 July 2012
GET THIS BOOKAdvances in Computational Intelligence, Part IV

These four volumes (CCIS 297, 298, 299, 300) constitute the proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258 revised full papers presented together with six invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy machine learning and on-line modeling; computing with words and decision making; soft computing in computer vision; rough sets and complex data analysis: theory and

System Modeling and Optimization

System Modeling and Optimization
  • Author : Adam Korytowski,Maciej Szymkat,Kazimierz Malanowski,Wojciech Mitkowski
  • Publisher : Springer
  • Release : 27 October 2009
GET THIS BOOKSystem Modeling and Optimization

rd This book constitutes a collection of extended versions of papers presented at the 23 IFIP TC7 Conference on System Modeling and Optimization, which was held in C- cow, Poland, on July 23–27, 2007. It contains 7 plenary and 22 contributed articles, the latter selected via a peer reviewing process. Most of the papers are concerned with optimization and optimal control. Some of them deal with practical issues, e. g. , p- formance-based design for seismic risk reduction, or evolutionary optimization in structural engineering. Many contributions

Fractional Evolution Equations and Inclusions

Fractional Evolution Equations and Inclusions
  • Author : Yong Zhou
  • Publisher : Academic Press
  • Release : 05 February 2016
GET THIS BOOKFractional Evolution Equations and Inclusions

Fractional evolution inclusions are an important form of differential inclusions within nonlinear mathematical analysis. They are generalizations of the much more widely developed fractional evolution equations (such as time-fractional diffusion equations) seen through the lens of multivariate analysis. Compared to fractional evolution equations, research on the theory of fractional differential inclusions is however only in its initial stage of development. This is important because differential models with the fractional derivative providing an excellent instrument for the description of memory and

Functional Calculus

Functional Calculus
  • Author : Kamal Shah,Baver Okutmuştur
  • Publisher : BoD – Books on Demand
  • Release : 17 June 2020
GET THIS BOOKFunctional Calculus

The aim of this book is to present a broad overview of the theory and applications related to functional calculus. The book is based on two main subject areas: matrix calculus and applications of Hilbert spaces. Determinantal representations of the core inverse and its generalizations, new series formulas for matrix exponential series, results on fixed point theory, and chaotic graph operations and their fundamental group are contained under the umbrella of matrix calculus. In addition, numerical analysis of boundary value

Operations Research in Transportation Systems

Operations Research in Transportation Systems
  • Author : A.S. Belenky
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOKOperations Research in Transportation Systems

The scientific monograph of a survey kind presented to the reader's attention deals with fundamental ideas and basic schemes of optimization methods that can be effectively used for solving strategic planning and operations manage ment problems related, in particular, to transportation. This monograph is an English translation of a considerable part of the author's book with a similar title that was published in Russian in 1992. The material of the monograph embraces methods of linear and nonlinear programming; nonsmooth and nonconvex

Modern Methods of Optimization

Modern Methods of Optimization
  • Author : Werner Krabs,Jochem Zowe
  • Publisher : Springer Science & Business Media
  • Release : 14 March 2013
GET THIS BOOKModern Methods of Optimization

This volume contains the proceedings of the summer school "Modern Methods of Optimization", held at the Schlof3 Thurnau of the University of Bayreuth, October 1-6, 1990. Like other branches of applied mathematics the area of optimization is undergoing a rapid development since the beginning of the computer age. Optimizaiton methods are of increasing importance for both, science and industry. The aim of the summer school was to present state-of-the-art knowledge by inviting 12 specialists from Op timization (and related fields) to present

Variational Analysis and Generalized Differentiation II

Variational Analysis and Generalized Differentiation II
  • Author : Boris S. Mordukhovich
  • Publisher : Springer Science & Business Media
  • Release : 02 March 2006
GET THIS BOOKVariational Analysis and Generalized Differentiation II

Comprehensive and state-of-the art study of the basic concepts and principles of variational analysis and generalized differentiation in both finite-dimensional and infinite-dimensional spaces Presents numerous applications to problems in the optimization, equilibria, stability and sensitivity, control theory, economics, mechanics, etc.

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
  • Author : Stephen Boyd,Neal Parikh,Eric Chu
  • Publisher : Now Publishers Inc
  • Release : 17 September 2021
GET THIS BOOKDistributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.

Differential Inclusions

Differential Inclusions
  • Author : J.-P. Aubin,A. Cellina
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKDifferential Inclusions

A great impetus to study differential inclusions came from the development of Control Theory, i.e. of dynamical systems x'(t) = f(t, x(t), u(t)), x(O)=xo "controlled" by parameters u(t) (the "controls"). Indeed, if we introduce the set-valued map F(t, x)= {f(t, x, u)}ueu then solutions to the differential equations (*) are solutions to the "differen tial inclusion" (**) x'(t)EF(t, x(t)), x(O)=xo in which the controls do not