Solving Linear Problems with Finite Precision III: Sharp Expectation Bounds
Dennis Cheung, Felipe Cucker

TL;DR
This paper establishes an O(log n) bound on the expected logarithm of the condition number for linear program optimizers, advancing understanding of finite precision effects in linear problem solving.
Contribution
It provides a sharp expectation bound for the condition number in linear programming, improving theoretical insights into numerical stability.
Findings
Proves an O(log n) bound on the expectation of log condition number
Enhances understanding of finite precision impacts in linear optimization
Offers theoretical guarantees for numerical stability in linear programming
Abstract
We prove an O(log n) bound for the expectation of the logarithm of the condition number K for the computation of optimizers of linear programs.
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Taxonomy
TopicsAdvanced Optimization Algorithms Research · Polynomial and algebraic computation · Complexity and Algorithms in Graphs
