Optimization Techniques

Principles of one-dimensional optimization. One-dimensional search methods. Optimality conditions. Optimization of multi-variate functions. Unconstrained and constrained optimizations. Analysis and classification of constraints. Analytical and numerical methods in optimization. Reduction and transformation of optimization problems. Genetic algorithms.