本书是一本关于最优化技术的入门教材，全书共分为四部分。第一部分是预备知识。第二部分主要介绍无约束的优化问题，并介绍线性方程的求解方法、神经网络方法和全局搜索方法。第三部分介绍线性优化问题，包括线性优化问题的模型、单纯形法、对偶理论以及一些非单纯形法，简单介绍了整数线性优化问题。第四部分介绍有约束非线性优化问题，包括纯等式约束下和不等式约束下的优化问题的最优性条件、凸优化问题、有约束非线性优化问题的求解算法和多目标优化问题。中文版已根据作者提供的勘误表进行了内容更正。

《最优化理论与方法》全面、系统地介绍了无约束最优化、约束最优化和非光滑最优化的理论和计算方法，它包括了近年来国际上关于优化研究的最新成果。《最优化理论与方法》在经济计划、工程设计、生产管理、交通运输等方面得到了广泛应用。

整数规划是运筹学与最优化理论的重要分支之一，整数规划模型、理论和算法在管理科学、经济、金融工程、工业管理和其他领域有着广泛的应用，《整数规划》由孙小玲、李端编著，主要介绍经典的线性整数规划理论和算法，同时简单介绍近年发展起来的非线性整数规划理论，主要内容包括：线性和非线性整数规划问题和模型、线性规划基础、全单模矩阵、图论和网络流问题、算法复杂性理论、分枝定界算法、割平面方法、多面体和有效不等式理论、整数规划对偶理论、0-1二次整数规划与SDP松弛、0-1多项式整数规划等。
《整数规划》适合运筹学、管理科学、应用数学和工程类专业的高年级本科生和研究生作为整数规划的教材和参考书，读者只需具有高等数学基础就可以阅读。

Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

《凸分析(英文版)》内容简介：Convexity has been increasingly important in recent years in the studyof extremum problems in many areas of applied mathematics. The purposeof this book is to provide an exposition of the theory of convex sets andfunctions in which applications to extremum problems play the centralrole. Systems of inequalities, the minimum or maximum of a convex functionover a convex set, Lagrange multipliers, and minimax theorems are amongthe topics treated, as well as basic results about the structure of convexsets and the continuity and differentiability of convex functions and saddle-functions. Duality is emphasized throughout, particularly in the form ofFenchers conjugacy correspondence for convex functions.