A modified layered-step interior-point algorithm for linear programming
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Publication:1290624
DOI10.1007/BF01580074zbMath0920.90098MaRDI QIDQ1290624
Nimrod Megiddo, Shinji Mizuno, Takashi Tsuchiya
Publication date: 3 June 1999
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
Abstract computational complexity for mathematical programming problems (90C60) Linear programming (90C05)
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Cites Work
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- A new polynomial-time algorithm for linear programming
- On scaled projections and pseudoinverses
- Interior path following primal-dual algorithms. I: Linear programming
- A polynomial-time algorithm for a class of linear complementarity problems
- A primal-dual interior point method whose running time depends only on the constraint matrix
- A linear programming instance with many crossover events
- Triangular factors of modified matrices
- A Strongly Polynomial Algorithm to Solve Combinatorial Linear Programs
- Global Convergence Property of the Affine Scaling Methods for Primal Degenerate Linear Programming Problems
- On Adaptive-Step Primal-Dual Interior-Point Algorithms for Linear Programming
- Methods for Modifying Matrix Factorizations
- A Dantzig-Wolfe-Like Variant of Karmarkar's Interior-Point Linear Programming Algorithm