Existence and optimality of strong stability preserving linear multistep methods: a duality-based approach
Adri\'an N\'emeth, David Ketcheson

TL;DR
This paper proves the existence of explicit linear multistep methods of any order with positive coefficients using a duality-based linear programming approach, advancing theoretical understanding of stability preserving methods.
Contribution
It introduces a duality-based linear programming framework to establish the existence of high-order explicit linear multistep methods with positive coefficients.
Findings
Existence of explicit linear multistep methods of any order with positive coefficients
Development of a duality-based approach for stability analysis
Theoretical advances in stability preserving numerical methods
Abstract
We prove the existence of explicit linear multistep methods of any order with positive coefficients. Our approach is based on formulating a linear programming problem and establishing infeasibility of the dual problem. This yields a number of other theoretical advances.
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Taxonomy
TopicsNumerical methods for differential equations · Matrix Theory and Algorithms · Advanced Numerical Methods in Computational Mathematics
