Aug 1, 2010 · In a capacitated graph with a set of commodities, the sparsity of a cut is the ratio between the capacity of the cut and the demand of the ...
Abstract. In a capacitated graph with a set of commodities, the sparsity of a cut is the ratio between the capacity of the cut and the demand of the ...
This article presents a systematic approach to building resilient networked systems by studying fundamental elements at the framework level such as metrics, ...
In this algorithm, the positive semidefinite. (psd) constraint is relaxed, and the resultant mixed-integer linear optimization problem is solved repeatedly, ...
The Sparsest Cut problem asks to find a cut (S,. ¯. S) with smallest possible sparsity φ(S). We denote the value of the sparsest cut in G by φ∗ = φ∗. G; φ ...
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Apr 8, 2024 · Our algorithm avoids solving the multicommodity flow problem, and instead searches for “violating paths”, i.e. paths that violate triangle ...
Abstract. We present a general method of designing fast approximation algorithms for cut-based min- imization problems in undirected graphs.
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We solve the semidefinite relaxation using a semi-infinite cut generation with a commercial linear programming package adapted to the sparsest cut problem. We ...
Jan 12, 2016 · Abstract—Sparse approximation addresses the problem of approximately fitting a linear model with a solution having as few.
Keywords-Sparsest Cut problem; semidefinite programming; in- tegrality gap; metric embeddings; Heisenberg group. 1. Introduction. The L1 distortion of a ...
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