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Building and Solving Mathematical Programming Models in Engineering and Science (Pure and Applied Mathematics -
作者：Natalia Alguacil
Natalia Alguacil
人物简介：
Building and Solving Mathematical Programming Models in Engineering and Science (Pure and Applied Mathematics书籍相关信息
- ISBN：9780471150435
- 作者：Enrique Castillo / Antonio J. Conejo / Pablo Pedregal / Ricardo García / Natalia Alguacil
- 出版社：Wiley-Interscience
- 出版时间：2001-11-01
- 页数：568
- 价格：USD 145.00
- 纸张：暂无纸张
- 装帧：Hardcover
- 开本：暂无开本
- 语言：暂无语言
- 丛书：Pure and Applied Mathematics: A Wiley Series of Texts, Monographs, and Tracts
- 适合人群：Engineering Students, Mathematicians, Operations Researchers, Scientists, Academics, Researchers in Mathematics and Engineering, Business Analysts, Data Scientists
- TAG：Applied Mathematics / Operations Research / Engineering Applications / Pure Mathematics / optimization / Computational Techniques / Mathematical Programming / Scientific Modeling
- 豆瓣评分：暂无豆瓣评分
- 更新时间：2025-05-07 15:07:58
内容简介：
Modeling is one of the most appealing areas in engineering and applied sciences. Engineers need to build models to solve real life problems. The aim of a model consists of reproducing the reality as faithfully as possible, trying to understand how the real world behaves, and obtaining the expected responses to given actions or inputs. Many types of models are used in practice, such as differential equations models, function equation models, finite difference and finite element models, mathematical programming models, etc.
