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Linear algebra and optimization with applications to machine learning. 2. Fundamentals of optimization theory with applications to machine learning [E-Book] /
Table of Contents: “... of Optimization Theory -- Chapter 14: Introduction to Nonlinear Optimization -- Chapter 15: Subgradients and Subdifferentials of Convex Functions ⊛ -- Chapter 16: Dual Ascent Methods; ADMM -- Chapter 17: Positive Definite Kernels -- Chapter 18: Soft Margin Support...”

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