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Table of Contents
Mathematical foundations
Algorithms, complexity and convexity
Optimization
Constrained optimization
Optimization techniques : approximation methods
Linear programming
Integer programming
Regression and regularization
Machine learning algorithms
Queueing theory and simulation
Multiobjective optimization
Constraint-handling techniques
Evolutionary algorithms
Nature-inspired algorithms.
Algorithms, complexity and convexity
Optimization
Constrained optimization
Optimization techniques : approximation methods
Linear programming
Integer programming
Regression and regularization
Machine learning algorithms
Queueing theory and simulation
Multiobjective optimization
Constraint-handling techniques
Evolutionary algorithms
Nature-inspired algorithms.