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Constrained Nonlinear Optimization Theory
First-order Methods: Convex and Nonconvex Problems - Unconstrained, Constrained, and Regularized Problems
Interior-Point and Augmented Lagrangian Algorithms for Optimization and Control
Linear Programming Part I: Duality Theorem and Simplex Method
Linear Programming Part II: Interior-point Methods and Extensions to Convex Quadratic Programming and Linear Complementarity
Optimality, Duality, and Complementarity for Constrained Optimization
Optimization in Machine Learning and Data Analysis
Optimization, Learning, and Processes
Optimization: Recognizing Solutions and Algorithmic Basics
Optimization Taxonomy and Mathematical Foundations
Stochastic-gradient, Coordinate Descent, and Newton€™s Method
Tutorial - Algorithms for Sparse Optimization and Machine Learning
Tutorial - Algorithms for Sparse Optimization and Machine Learning