Open Educational Resources | Pao Yue-kong Library, The Hong Kong Polytechnic University

Video

Lecture Collection | Convex Optimization

Stanford Electrical Engineering Course on Convex Optimization.

Course related:: AMA4850 Optimization Methods
Subjects:: Mathematics and Statistics
Keywords:: Mathematical optimization Convex functions
Resource Type:: Video

Courseware

Introduction to Convex Optimization

This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machine learning, finance, digital and analog circuit design, computational geometry, statistics, and mechanical engineering are presented. Students complete hands-on exercises using high-level numerical software.

Subjects:: Mathematics and Statistics
Keywords:: Mathematical optimization Convex functions
Resource Type:: Courseware

e-book

Evolutionary Algorithms

Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.

Subjects:: Computing, Data Science and Artificial Intelligence
Keywords:: Mathematical optimization Evolutionary programming (Computer science) Genetic algorithms
Resource Type:: e-book

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