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所在平台: Udemy |
课程主页: https://www.udemy.com/course/optimization-basics/
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课程名称：优化基础 课程概述：本课程介绍了优化技术，旨在向学生传授数值优化技术的基本概念，无论学生是否对这些主题有任何了解。课程的教学方法假设学生对优化问题的表述有基本了解，对各种优化算法的重要方面有所认识，同时具备使用编程解决优化问题的知识。课程讲座内容包括优化问题的图形方法、优化的符号与分类、无约束优化和有约束优化。学生将学习到多种算法，如黄金分割法、梯度下降法、牛顿法、增广拉格朗日法和序列二次规划（SQP）。对于希望了解优化方法基础的学生，尤其是运筹学研究者、工程师、数据科学和机器学习领域的学生来说，此课程将极具帮助。 授课教授：Rahul Rai教授，2020年加盟克莱姆森大学汽车研究国际中心（CU-ICAR），担任院长特聘教授。此前，他曾在纽约州立大学水牛城分校的机械与航空工程系任职（2012-2020年），并在联合技术研究中心（UTRC）和帕洛阿尔托研究中心（PARC）拥有工业研究中心的经验。
This course introduces students to optimization techniques. The course exposes students to basic concepts about the implementation of numerical optimization techniques, assuming that the student does or does not have any kind of idea on these topics. The approach used for teaching this optimization course is based on students having a basic understanding of optimization problem formulations, the important aspects of various optimization algorithms, also about the knowledge of how to use programming to solve optimization problems. The lectures in this course cover Graphical Approaches for Optimization Problems, Notations and Classification of Optimization, Unconstrained Optimization, and Constrained Optimization. Various algorithms such as Golden Section, Gradient Descent, Newton's Methods, Augmented Lagrangian, and Sequential Quadratic Programming (SQP). This course will be beneficial to students who are interested in learning about the basics of optimization methods. Operation researchers, engineers, and data science and machine learning students will find this course useful. This course is taught by professor Rahul Rai who joined the Department of Automotive Engineering in 2020 as Dean's Distinguished Professor in the Clemson University International Centre for Automotive Research (CU-ICAR). Previously, he served on the Mechanical and Aerospace Engineering faculty at the University at Buffalo-SUNY (2012-2020) and has experience in industrial research center experiences at United Technology Research Centre (UTRC) and Palo Alto Research Centre called as (PARC).
