Advances in optimization and linear programming[electronic resource]
- 作者: Stanimirović, Ivan.
- 出版: Palm Bay, FL : Apple Academic Press 2022.
- 版本: 1st ed.
- 稽核項: 1 online resource.
- 標題: Linear programming. , Simplexes (Mathematics) , Mathematical optimization.
- ISBN: 1003256058 , 9781003256052
- ISBN: 9781000522037 , 9781774637401
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index. Simplex method -- Three direct methods in linear programming.
- 摘要: "This new volume provides the information needed to understand the simplex method, the revised simplex method, dual simplex method, and more for solving linear programming problems. Following a logical order, the book first gives a mathematical model of the linear problem programming and describes the usual assumptions under which the problem is solved. It gives a brief description of classic algorithms for solving linear programming problems as well as some theoretical results. It goes on to explain the definitions and solutions of linear programming problems, outlining the simplest geometric methods, and showing how they can be implemented. Practical examples are included along the way. The book concludes with a discussion of multi-criteria decision-making methods. This volume is a highly useful guide to linear programming for professors and students in optimization and linear programming"--
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://www.taylorfrancis.com/books/9781003256052
- 系統號: 005337961
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
"This new volume provides the information needed to understand the simplex method, the revised simplex method, dual simplex method, and more for solving linear programming problems. Following a logical order, the book first gives a mathematical model of the linear problem programming and describes the usual assumptions under which the problem is solved. It gives a brief description of classic algorithms for solving linear programming problems as well as some theoretical results. It goes on to explain the definitions and solutions of linear programming problems, outlining the simplest geometric methods, and showing how they can be implemented. Practical examples are included along the way. The book concludes with a discussion of multi-criteria decision-making methods. This volume is a highly useful guide to linear programming for professors and students in optimization and linear programming"--
來源: Google Book
來源: Google Book
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