Автор: Ping-Qi Pan Название: Linear Programming Computation Издательство: Springer Год: 2014 ISBN: 9783642407536; 3642407536 Язык: English Формат: epub Размер: 10,3 mb Страниц: 747
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.
Introduction to Linear Programming with MatLab Название: Introduction to Linear Programming with MatLab Автор: Shashi Kant Mishra, Bhagwat Ram Издательство: CRC Год: 2018 Формат: PDF Страниц: 318...
Algorithms Автор: Robert Sedgewick Название: Algorithms Издательство: Addison Wesley Longman Publishing Co Год: 1983 ISBN: 0201066726 Серия: Addison-Wesley...
Numerical Methods in Structural Mechanics Автор: Zdenek Bittnar, Jiri Sejnoha Название: Numerical Methods in Structural Mechanics Издательство: Amer Society of Civil Engineers Год: 1996 ISBN:...
Linear Programming Using MATLAB Название: Linear Programming Using MATLAB Автор: Ploskas N., Samaras N. Издательство: New York: Springer Год: 2017 Формат: pdf Страниц: 642 Размер:...
Навигация
Вход на сайт
Реклама
Linear Programming Computation 
