Overall the lecture will try to explain the following concepts in a brief but simple manner with an example wherever required.
- Objective functions and constraints
- Definition and significance
- Types of objective functions (e.g., maximization, minimization)
- Role of constraints in optimization
- Search algorithms
- Overview of different search algorithms used in optimization
- Comparison of their performance and applicability
- Examples of search algorithms in optimization problems
- Performance measures and evaluation
- Criteria for evaluating optimization techniques
- Quantitative and qualitative measures of performance
- Importance of evaluating and comparing different techniques
The lecture can be accessed by clicking here:
https://innovates.gumroad.com/l/optimization