1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.OC2024★ 1 cited
A Compositional Framework for First-Order Optimization
Tyler Hanks, Matthew Klawonn, Evan Patterson +2
Optimization decomposition methods are a fundamental tool to develop distributed solution algorithms for large scale optimization problems arising in fields such as machine learnin…
math.NA2024
Decapodes: A Diagrammatic Tool for Representing, Composing, and Computing Spatialized Partial Differential Equations
Luke Morris, Andrew Baas, Jesus Arias +3
We present Decapodes, a diagrammatic tool for representing, composing, and solving partial differential equations. Decapodes provides an intuitive diagrammatic representation of th…
math.CT2024
The diagrammatic presentation of equations in categories
Kevin Arlin, James Fairbanks, Tim Hosgood +1
Lifts of categorical diagrams against discrete opfibrations can be interpreted as presenting solutions to systems…