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  • NonLinear Programming (NLP): Subgradient optimization

    Z029p5015?file=thumbnail
    Description:
    Subgradient Optimization (or Subgradient Method) is an iterative algorithm for minimizing convex functions, used predominantly in Nondifferentiable optimization for functions that are convex but nondifferentiable. It is often slower than Newton's Method when applied to convex differentiable functions, but can be used on convex nondifferentiable functions where Newton's Method will...
    Keyword:
    Subgradient and Optimization
    Creator:
    Aaron Anderson
    Owner:
    Scholarly Digital Publishing
    Date Uploaded:
    11/30/2018
    Date Modified:
    11/30/2018