| 书目名称 | Linear Programming: Mathematics, Theory and Algorithms | | 编辑 | Michael J. Panik | | 视频video | | | 丛书名称 | Applied Optimization | | 图书封面 |  | | 描述 | .Linear Programming. provides an in-depth look at simplexbased as well as the more recent interior point techniques for solvinglinear programming problems. Starting with a review of themathematical underpinnings of these approaches, the text providesdetails of the primal and dual simplex methods with theprimal-dual, composite, and steepest edge simplex algorithms.This then is followed by a discussion of interior point techniques,including projective and affine potential reduction, primal and dualaffine scaling, and path following algorithms. Also covered is thetheory and solution of the linear complementarity problem using boththe complementary pivot algorithm and interior point routines. Afeature of the book is its early and extensive development and use ofduality theory. ..Audience:. The book is written for students in the areas ofmathematics, economics, engineering and management science, andprofessionals who need a sound foundation in the important and dynamicdiscipline of linear programming. | | 出版日期 | Book 19961st edition | | 关键词 | algorithms; calculus; complementarity; duality; economics; linear optimization; Mathematica; mathematics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4613-3434-7 | | isbn_softcover | 978-1-4613-3436-1 | | isbn_ebook | 978-1-4613-3434-7Series ISSN 1384-6485 | | issn_series | 1384-6485 | | copyright | Kluwer Academic Publishers 1996 |
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发表于 2025-3-21 18:17:01
