Theory of Intelligence
MATH FOR AI•Optimization•Constrained And Convex Optimization•4.4 Linear & Quadratic Programming

Introduction

Linear programs, quadratic programs, and how the support vector machine is a quadratic program.

Introduction

Two families of convex problems are so common that they have their own names and dedicated solvers. Linear programs (LPs) have a linear objective and linear constraints — used for scheduling, resource allocation and transport. Quadratic programs (QPs) have a quadratic objective — and the classic support vector machine is one.

Discuss theoretical concepts, mathematical formulas, and architectural foundations.

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