Convex optimization — Convex Optimization

Fact

A way to optimize when the goal and allowed choices are convex.

In Plain Words

Think of a marble in a cereal bowl. Let go, and it rolls to the real bottom, not a sneaky pothole.

Convex optimization finds the best choice in bowl-shaped problems with clear rules. You meet it in model training and resource planning.

Related Concepts

• Optimization
• Gradient Descent
• Logistic Regression
• Support Vector Machine

Optimization
Convex optimization is a type of optimization with an easier path to the best answer.

Gradient Descent
Gradient Descent can solve many convex problems well.

Logit
Logit training is usually written as a convex optimization problem.

SVM
Classic SVM training uses a convex goal.