Michael Patriksson – författare
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5 produkter
5 produkter
Del 23 - Applied Optimization
Nonlinear Programming and Variational Inequality Problems
A Unified Approach
Inbunden, Engelska, 1998
1 611 kr
Skickas inom 10-15 vardagar
The framework of algorithms presented in this book is called Cost Approximation. 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 updating of the iteration points, and a merit function which guides and monitors the convergence of the algorithm. One purpose of the book is to offer this framework as an intuitively appealing tool for describing an algorithm. Another purpose is to provide a convergence analysis of the algorithms in the framework.
Del 64 - Applied Optimization
Transportation Planning
State of the Art
Inbunden, Engelska, 2002
1 076 kr
Skickas inom 10-15 vardagar
This text is a collection of selected presentations of the 6th meeting of the EURO Working Group on Transportation, which took place at Chalmers University of Technology, Gothenburg, Sweden. It contains 14 chapters on recent advances in theory, computation and practice in a wide variety of areas in transportation research such as the reliability of transportation networks, parking management policies, fuzzy traffic signal control, the workings of a demand-responsive park and ride transport system and an analysis of car ownership in different countries based on demographic data.
Del 23 - Applied Optimization
Nonlinear Programming and Variational Inequality Problems
A Unified Approach
Häftad, Engelska, 2010
1 611 kr
Skickas inom 10-15 vardagar
The framework of algorithms presented in this book is called Cost Approximation. 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 updating of the iteration points, and a merit function which guides and monitors the convergence of the algorithm. One purpose of the book is to offer this framework as an intuitively appealing tool for describing an algorithm. Another purpose is to provide a convergence analysis of the algorithms in the framework. Audience: The book will be of interest to all researchers in the field (it includes over 800 references) and can also be used for advanced courses in non-linear optimization with the possibility of being oriented either to algorithm theory or to the numerical aspects of large-scale nonlinear optimization.
Del 64 - Applied Optimization
Transportation Planning
State of the Art
Häftad, Engelska, 2010
1 076 kr
Skickas inom 10-15 vardagar
This book is a collection of selected presentations of the 6th Meeting of the EURO Working Group on Transportation, which took place at the Department on Mathematics at Chalmers University of Technology, Gothenburg, Sweden. It contains fourteen chapters on recent advances in theory, computation, and practice in a wide variety of areas in transportation research such as the reliability of transportation networks, parking management policies, fuzzy traffic signal control, the workings of a demand-responsive park and ride transport system, and an analysis of car ownership in different countries based on demographic data. Audience: The text is useful for students in transportation science, and advanced undergraduate courses on transportation.
Häftad, Engelska, 2016
593 kr
Skickas
Revised with second printing, 2018.Optimization, or mathematical programming, is a fundamental subject within decision science and operations research in which mathematical decision models are constructed, analyzed, and solved.Andreasson provides a basis for the analysis of optimization models and candidate optimal solutions for continuous optimization models. Elementary but rigorous mathematics and linear algebra underlie the workings of convexity and duality, and necessary/sufficient local/global optimality conditions for continuous optimization problems. Natural algorithms are developed from these optimality conditions, and their most important convergence characteristics are analyzed. The author answers many more “Why?” and “Why not?” than “How?” questions.The author provides lecture, exercise and reading material for a first course on continuous optimization and mathematical programming. It is geared towards third-year students, and has already been used for nearly ten years. The preface describes the main changes to the first edition.The book can be used in mathematical optimization courses at engineering, economics, and business schools. It is a perfect starting point for anyone who wishes to develop an understanding of the subject before actually applying it.