Indefinite Matrices vs Positive Semidefinite Matrices

Developers should learn about indefinite matrices when working on optimization algorithms (e meets developers should learn about positive semidefinite matrices when working in machine learning (e. Here's our take.

Indefinite Matrices

Nice Pick

Developers should learn about indefinite matrices when working on optimization algorithms (e

Pros

• g
• Related to: linear-algebra, numerical-methods

Cons

• Specific tradeoffs depend on your use case

Positive Semidefinite Matrices

Developers should learn about positive semidefinite matrices when working in machine learning (e

Pros

• g
• Related to: linear-algebra, convex-optimization

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Indefinite Matrices if: You want g and can live with specific tradeoffs depend on your use case.

Use Positive Semidefinite Matrices if: You prioritize g over what Indefinite Matrices offers.

The Bottom Line

Indefinite Matrices wins

Developers should learn about indefinite matrices when working on optimization algorithms (e