1. Optimization - Introduction: the practical use and mathematical terminology and basics.
2. Unconstrain optimization of continuous functions - the existence of optimum conditions.
3. Optimization of one variable function: the method of elimination and approximation; 0th and 1st order methods.
4. Optimization of multivariablefunction; 0th, 1st and higher order methods.
5. Introduction to global optimization.
6. Global optimization methods derived from Monte Carlo method and/or Genetic Algorithm method.
7. Optimization procedures available in the application software.
8. Solving optimization problems in the application software (now ANSYS and ANSYS Workbench).
2. Unconstrain optimization of continuous functions - the existence of optimum conditions.
3. Optimization of one variable function: the method of elimination and approximation; 0th and 1st order methods.
4. Optimization of multivariablefunction; 0th, 1st and higher order methods.
5. Introduction to global optimization.
6. Global optimization methods derived from Monte Carlo method and/or Genetic Algorithm method.
7. Optimization procedures available in the application software.
8. Solving optimization problems in the application software (now ANSYS and ANSYS Workbench).