11. Numerical Examples
ΒΆ
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
Cvx-Learning
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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
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ADMM
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