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NONLINEAR OPTIMIZATION I

COMPSCI/ISYE/MATH/STAT 726
课程描述

Theory and algorithms for nonlinear optimization, focusing on unconstrained optimization. Line-search and trust-region methods; quasi-Newton methods; conjugate-gradient and limited-memory methods for large-scale problems; derivative-free optimization; algorithms for least-squares problems and nonlinear equations; gradient projection algorithms for bound-constrained problems; and simple penalty methods for nonlinearly constrained optimization. Students are strongly encouraged to have knowledge of linear algebra and familiarity with basic mathematical analysis.

先修课程

Graduate/professional standing

满足要求
学分

未报告

开课时间

未报告

平均绩点
3.31

1.12% 相比历史数据

完成率
100%

2.5% 相比历史数据

A率
14.29%

-56.36% 相比历史数据

班级规模
21

-40.69% 相比历史数据

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序，数据来自 Rate My Professors

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