11. Numerical ExamplesΒΆ

Chapter 5:

  • Linear programming
  • Quadratic programming
  • Polyhedra Intersection

Chapter 6:

  • Huber fitting
  • Basis pursuit problem
  • L1 regularized loss
  • Lasso serial version
  • Sparse Inverse Covariance Selection

Chapter 8:

  • Lasso split samples
  • Support Vector Machine
  • Lasso split features

Logo

Cvx-Learning

Navigation

Contents:

  • Semidefinite Programming
  • Proximal Algorithms
  • ADMM
    • 1. Introduction
    • 2. Precursors
    • 3. Alternating Direction Method of Multipliers
    • 4. General Pattern
    • 5. Constrained Convex Optimization
    • 6. L1 Norm Problems
    • 7. Consensus and Sharing
    • 8. Distributed Model Fitting
    • 9. Nonconvex Problem
    • 10. Implementation
    • 11. Numerical Examples
  • Paper Reads

Related Topics

  • Documentation overview
    • ADMM
      • Previous: 10. Implementation
      • Next: Paper Reads

Quick search

©2020, LIUYE. | Powered by Sphinx 1.8.5 & Alabaster 0.7.12 | Page source