| 书目名称 | Optimization |
| 编辑 | Kenneth Lange |
| 视频video | |
| 概述 | The content of courses on optimization theory varies tremendously..This book views linear programming as a special case of nonlinear programming..The real bridge between linear and nonlinear programmi |
| 丛书名称 | Springer Texts in Statistics |
| 图书封面 |  |
| 描述 | .Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students’ skills in calculus and linear algebra, the text provides a rigorous exposition without undue abstraction. Its stress on convexity serves as bridge between linear and nonlinear programming and makes it possible to give a modern exposition of linear programming based on the interior point method rather than the simplex method....The emphasis on statistical applications will be especially appealing to graduate students of statistics and biostatistics. The intended audience also includes graduate students in applied mathematics, computational biology, computer science, economics, and physics as well as upper division undergraduate majors in mathematics who want to see rigorous mathematics combined with real applications....Chapter 1 reviews classical methods for the exact solution of optimization problems. Chapters 2 and 3 summarize relevant concepts from mathematical analy |
| 出版日期 | Textbook 20041st edition |
| 关键词 | Analysis; Excel; Random variable; Statistical Methods; Stochastic Processes; algorithms; expectation–maxim |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4757-4182-7 |
| isbn_ebook | 978-1-4757-4182-7Series ISSN 1431-875X Series E-ISSN 2197-4136 |
| issn_series | 1431-875X |
| copyright | Springer-Verlag New York 2004 |
发表于 2025-3-21 20:07:04
