Optimization is the process of finding input values that minimize or maximize an objective function.
What Is Optimization?
Optimization is the process of finding input values that minimize or maximize an objective function.
Examples of Optimization
1
Find x that minimizes f(x)=(x−3)².Formula and Key Points
Formula / rule
At interior optimum, often f′(x)=0
- Know the definition and standard notation for Optimization.
- Be able to recognise or compute optimization in a small example.
- Connect the concept to nearby topics in the same subject before using it in larger CSE problems.
Why This Matters in Computer Science
Used in optimization, simulation, graphics, machine learning, control systems and numerical computing. Central to machine learning training, resource allocation and parameter tuning.
Related Math Terms
Optimization: Frequently Asked Questions
What is Optimization?
Optimization is the process of finding input values that minimize or maximize an objective function.
Why is Optimization useful in computer science?
Used in optimization, simulation, graphics, machine learning, control systems and numerical computing. Central to machine learning training, resource allocation and parameter tuning.