Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms
Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms
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DOI：
10.5860/choice.44-2754
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发表时间：
2005-03
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影响因子：
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通讯作者：
J. Snyman
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文献类型：
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作者：
J. Snyman
第1章题记表第二章。无约束最小化的直线搜索下降法。约束优化的标准方法新的基于梯度的轨迹和近似方法例题第6章第7章。线性规划问题的单纯形法
Preface Table of Notation Chapter 1. Introduction Chapter 2. Line Search Descent Methods for Unconstrained Minimization Chapter 3. Standard Methods for Constrained Optimization Chapter 4. New Gradient-Based Trajectory and Approximation Methods Chapter 5. Example Problems Chapter 6. Some Theorems Chapter 7. The Simplex Method for Linear Programming Problems Bibliography Index