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Jun 5, 2018 · Abstract:We outline a new approach for solving optimization problems which enforce triangle inequalities on output variables.
A Projection Method for Metric-Constrained Optimization · Nate Veldt, D. Gleich, +1 author. J. Saunderson · Published in arXiv.org 5 June 2018 · Computer Science, ...
A Parallel Projection Method for Metric Constrained Optimization. Cameron ... In this work we take a first step in parallelizing projection methods for metric- ...
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Jan 29, 2019 · The key to our approach is a new parallel execution schedule that allows us to perform projections at multiple metric constraints simultaneously ...
This paper analyzes methods of the type proposed by Coleman and Conn for nonlinearly constrained optimization. It is shown that if the reduced Hessian ...
We outline a new approach for solving optimization problems which enforce triangle inequalities on output variables. We refer to this as metric-constrained ...
We outline a new approach for solving optimization problems which enforcetriangle inequalities on output variables. We refer to this asmetric-constrained ...
Two-Metric Projection Methods for Constrained Optimization
www.researchgate.net › publication › 37...
A superlinearly convergent Newton-like method for linearly constrained optimization problems is adapted for solution of multicommodity network flow problems of ...
Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson: A Projection Method for Metric-Constrained Optimization. CoRR abs/1806.01678 (2018).
This paper is concerned with the problem min left brace f(x) vertical x an element of X right brace , where X is a convex subset of a linear space H, ...