Computational Techniques of the Simplex Method - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Techniques of the Simplex Method write by István Maros. This book was released on 2012-12-06. Computational Techniques of the Simplex Method available in PDF, EPUB and Kindle. Computational Techniques of the Simplex Method is a systematic treatment focused on the computational issues of the simplex method. It provides a comprehensive coverage of the most important and successful algorithmic and implementation techniques of the simplex method. It is a unique source of essential, never discussed details of algorithmic elements and their implementation. On the basis of the book the reader will be able to create a highly advanced implementation of the simplex method which, in turn, can be used directly or as a building block in other solution algorithms.
An analysis of the computational techniques of the revised simplex method
An analysis of the computational techniques of the revised simplex method - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook An analysis of the computational techniques of the revised simplex method write by Don Roger Robinson. This book was released on 1966. An analysis of the computational techniques of the revised simplex method available in PDF, EPUB and Kindle.
Linear Programming Computation
Linear Programming Computation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Linear Programming Computation write by Ping-Qi PAN. This book was released on 2014-03-27. Linear Programming Computation available in PDF, EPUB and Kindle. With emphasis on computation, this book is a real breakthrough in the field of LP. In addition to conventional topics, such as the simplex method, duality, and interior-point methods, all deduced in a fresh and clear manner, it introduces the state of the art by highlighting brand-new and advanced results, including efficient pivot rules, Phase-I approaches, reduced simplex methods, deficient-basis methods, face methods, and pivotal interior-point methods. In particular, it covers the determination of the optimal solution set, feasible-point simplex method, decomposition principle for solving large-scale problems, controlled-branch method based on generalized reduced simplex framework for solving integer LP problems.
Computational Optimization, Methods and Algorithms
Computational Optimization, Methods and Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Optimization, Methods and Algorithms write by Slawomir Koziel. This book was released on 2011-06-17. Computational Optimization, Methods and Algorithms available in PDF, EPUB and Kindle. Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems. Another complication is that most problems are often NP-hard, that is, the solution time for finding the optimum increases exponentially with the problem size. The development of efficient algorithms and specialized techniques that address these difficulties is of primary importance for contemporary engineering, science and industry. This book consists of 12 self-contained chapters, contributed from worldwide experts who are working in these exciting areas. The book strives to review and discuss the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization. It also covers well-chosen, real-world applications in science, engineering and industry. Main topics include derivative-free optimization, multi-objective evolutionary algorithms, surrogate-based methods, maximum simulated likelihood estimation, support vector machines, and metaheuristic algorithms. Application case studies include aerodynamic shape optimization, microwave engineering, black-box optimization, classification, economics, inventory optimization and structural optimization. This graduate level book can serve as an excellent reference for lecturers, researchers and students in computational science, engineering and industry.
Linear Programming Using MATLAB®
Linear Programming Using MATLAB® - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Linear Programming Using MATLAB® write by Nikolaos Ploskas. This book was released on 2017-10-28. Linear Programming Using MATLAB® available in PDF, EPUB and Kindle. This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.
