| 書目名稱 | Large Scale Linear and Integer Optimization: A Unified Approach | | 編輯 | Richard Kipp Martin | | 視頻video | http://file.papertrans.cn/582/581358/581358.mp4 | | 圖書封面 |  | | 描述 | This is a textbook about linear and integer linear optimization. There is a growing need in industries such as airline, trucking, and financial engineering to solve very large linear and integer linear optimization problems. Building these models requires uniquely trained individuals. Not only must they have a thorough understanding of the theory behind mathematical programming, they must have substantial knowledge of how to solve very large models in today‘s computing environment. The major goal of the book is to develop the theory of linear and integer linear optimization in a unified manner and then demonstrate how to use this theory in a modern computing environment to solve very large real world problems. After presenting introductory material in Part I, Part II of this book is de- voted to the theory of linear and integer linear optimization. This theory is developed using two simple, but unifying ideas: projection and inverse projec- tion. Through projection we take a system of linear inequalities and replace some of the variables with additional linear inequalities. Inverse projection, the dual of this process, involves replacing linear inequalities with additional variable | | 出版日期 | Book 1999 | | 關(guān)鍵詞 | Ant algorithm; Operations Research; Polyhedral Theory; algorithms; complexity; complexity theory; linear a | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-4975-8 | | isbn_softcover | 978-1-4613-7258-5 | | isbn_ebook | 978-1-4615-4975-8 | | copyright | Springer Science+Business Media New York 1999 |
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