A Faster Algorithm for Linear Programming and the Maximum Flow Problem I
berkeley.edu
A Faster Algorithm for Linear Programming and the Maximum Flow Problem I
In this talk, I will present a new algorithm for solving linear programs. Given a linear program with n variables, m > n constraints, and bit complexity L, our algorithm runs in Õ(sqrt(n) L) iterations each consisting of solving Õ(1) linear systems and additional nearly linear time computation. Our method improves upon the convergence rate of ...
Dec 4, 2014
Maximum Flow Algorithms
Lecture 13: Incremental Improvement: Max Flow, Min Cut | Design and Analysis of Algorithms | Electrical Engineering and Computer Science | MIT OpenCourseWare
Lecture 13: Incremental Improvement: Max Flow, Min Cut | Design and Analysis of Algorithms | Electrical Engineering and Computer Science | MIT OpenCourseWare
mit.edu
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