An accessible tour of applied mathematical programming, from maximizing profit under constraints to smart portfolio design, scheduling, and diet planning. We break down core tools—the simplex method, sensitivity analysis and shadow prices, plus advanced techniques like dynamic programming and integer programming—using real-world examples to show how math guides better decisions.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

Sponsored by Embersilk LLC