Dimitri P. Bertsekas

The authors are Professors in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. They are members of the prestigious US National Academy of Engineering. They have written several widely used textbooks and research monographs, both individually and jointly.

非线性规划（第2版）

评分 0.0分

本书涵盖了非线性规划的主要内容，包括无约束优化、凸优化、拉格朗日乘子理论和算法、对偶理论和方法等，并包含了大量的实际应用案例 .本书从无约束优化问题入手，通过直观分析和严谨证明给出了无约束优化问题的最优性条件，并讨论了梯度法、牛顿法、共轭方向法等实用算法 .进而本书将无约束优化问题的最优性条件和算法推广到具有凸集约束的优化问题中，进一步讨论了处理约束问题的可行方向法、条件梯度法、梯度投影法、双矩阵

Nonlinear Programming

Dimitri P. Bertsekas

评分 9.0分

Neuro-Dynamic Programming

Dimitri P. Bertsekas

评分暂无

This is the first textbook that fully explains the neuro-dynamic programming/reinforcement learning methodology, which is a recent breakthrough in the practical application of neural networks and d

Dynamic Programming and Optimal Control (2 Vol Set)

Dimitri P. Bertsekas

评分 9.9分

Dynamic Programming and Optimal Control, Vol. I (4/e)

Dimitri P. Bertsekas

评分暂无

This 4th edition is a major revision of Vol. I of the leading two-volume dynamic programming textbook by Bertsekas, and contains a substantial amount of new material, particularly on approximate DP

Linear Network Optimization

Dimitri P. Bertsekas

评分 0.0分

Large-scale optimization is becoming increasingly important for students and professionals in electrical and industrial engineering, computer science, management science and operations research, and a