Author: Arnold Kaufmann
Publisher:
ISBN:
Category : Integer programming
Languages : en
Pages :
Book Description
Methodes Et Modeles de la Recherche Operationnelle. Vol. 3. English Integer and Mixed Programming : Theory and Applications
Author: Arnold Kaufmann
Publisher:
ISBN:
Category : Integer programming
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category : Integer programming
Languages : en
Pages :
Book Description
Methodes Et Modeles de la Recherche Operationnelle. Vol. 2. English Graphs, Dynamic Programming, and Finite Games
Author: Arnold Kaufmann
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
The British Library General Catalogue of Printed Books 1976 to 1982
Author: British Library
Publisher:
ISBN:
Category : English imprints
Languages : en
Pages : 616
Book Description
Publisher:
ISBN:
Category : English imprints
Languages : en
Pages : 616
Book Description
American Book Publishing Record Cumulative, 1950-1977
Author: R.R. Bowker Company. Department of Bibliography
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 2006
Book Description
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 2006
Book Description
Books for College Libraries: Psychology, science, technology, bibliography
Author:
Publisher:
ISBN:
Category : Academic libraries
Languages : en
Pages : 450
Book Description
Publisher:
ISBN:
Category : Academic libraries
Languages : en
Pages : 450
Book Description
International Computer Bibliography
Author: Stichting Studiecentrum voor Administratieve Automatisering
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 542
Book Description
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 542
Book Description
Mathematical Reviews
Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 1574
Book Description
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 1574
Book Description
Operations Research
Author: Hamdy A. Taha
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 680
Book Description
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 680
Book Description
Algorithms for Optimization
Author: Mykel J. Kochenderfer
Publisher: MIT Press
ISBN: 0262039427
Category : Computers
Languages : en
Pages : 521
Book Description
A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
Publisher: MIT Press
ISBN: 0262039427
Category : Computers
Languages : en
Pages : 521
Book Description
A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
Optimization in Operations Research
Author: Ronald L. Rardin
Publisher: Prentice Hall
ISBN: 9780132858113
Category : Mathematical optimization
Languages : en
Pages : 936
Book Description
For first courses in operations research, operations management Optimization in Operations Research, Second Edition covers a broad range of optimization techniques, including linear programming, network flows, integer/combinational optimization, and nonlinear programming. This dynamic text emphasizes the importance of modeling and problem formulation andhow to apply algorithms to real-world problems to arrive at optimal solutions. Use a program that presents a better teaching and learning experience-for you and your students. Prepare students for real-world problems: Students learn how to apply algorithms to problems that get them ready for their field. Use strong pedagogy tools to teach: Key concepts are easy to follow with the text's clear and continually reinforced learning path. Enjoy the text's flexibility: The text features varying amounts of coverage, so that instructors can choose how in-depth they want to go into different topics.
Publisher: Prentice Hall
ISBN: 9780132858113
Category : Mathematical optimization
Languages : en
Pages : 936
Book Description
For first courses in operations research, operations management Optimization in Operations Research, Second Edition covers a broad range of optimization techniques, including linear programming, network flows, integer/combinational optimization, and nonlinear programming. This dynamic text emphasizes the importance of modeling and problem formulation andhow to apply algorithms to real-world problems to arrive at optimal solutions. Use a program that presents a better teaching and learning experience-for you and your students. Prepare students for real-world problems: Students learn how to apply algorithms to problems that get them ready for their field. Use strong pedagogy tools to teach: Key concepts are easy to follow with the text's clear and continually reinforced learning path. Enjoy the text's flexibility: The text features varying amounts of coverage, so that instructors can choose how in-depth they want to go into different topics.