Linear programming duality for geometers
Gergely Ambrus

TL;DR
This paper offers a geometric proof of the linear programming duality theorem, making the fundamental concept more accessible and easier to understand through a clear, self-contained approach.
Contribution
It introduces a new geometric proof for linear programming duality, enhancing conceptual understanding and simplicity compared to traditional algebraic methods.
Findings
Provides a transparent geometric proof of duality theorem
Simplifies understanding of linear programming duality
Self-contained approach accessible to learners
Abstract
We present a geometric proof for the duality theorem of linear programming. Besides being self-contained and simple, the present approach also provides a transparent way for understanding this fundamental result.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Optimization Algorithms Research · Constraint Satisfaction and Optimization · Optimization and Variational Analysis
