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描述
数学规划 线性与整数规划的制定与应用：单纯形法、灵敏度分析与对偶性；参数规划与最优后分析；分支定界法；隐式枚举；割平面算法。非线性优化的理论与应用：凸集、凸函数与凹函数、Kuhn-Tucker 条件；非线性规划中的对偶性；二次与凸规划的计算方法；几何规划；动态规划。
原文参考文本
Mathematical Programming Formulation and applications of linear and integer programming: simplex method, sensitivity analysis and duality; parametric programming and post-optimality analysis; branch and bound technique; implicit enumeration; cutting plane algorithm. Theory and applications of non-linear optimization: convex sets, convex and concave functions, Kuhn-Tucker conditions; duality in nonlinear programming; computational methods for quadratic and convex programming; geometric programming; dynamic programming.
来源与参考
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来源参考 : https://brocku.ca/webcal/2024/graduate/mgmt.html