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Linear Programming Using MATLAB® (Springer Optimization and Its Applications (127))

Nikolaos Ploskas; Nikolaos Samaras; Springer International Publishing

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مشخصات کتاب

سال انتشار
۲۰۱۷
فرمت
PDF
زبان
انگلیسی
حجم فایل
۶٫۶ مگابایت
شابک
9783319659176، 9783319659190، 3319659170، 3319659197

دربارهٔ کتاب

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.-- Provided by publisher

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