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  • Video 
    Lecture Collection | Convex Optimization

    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

    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:
    Convex functions Mathematical optimization
    Resource Type:
    Courseware
     
  • e-book 
    Evolutionary Algorithms

    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
    Keywords:
    Mathematical optimization Genetic algorithms Evolutionary programming (Computer science)
    Resource Type:
    e-book