Refined proximity and sensitivity results in linearly constrained convex separable integer programming
Author:
Publisher
Elsevier BV
Subject
Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory
Reference12 articles.
1. Sensitivity theorems in integer linear programming;Cook;Math. Programming,1986
2. Theory of Linear and Integer Programming;Schrijver,1986
3. Some proximity and sensitivity results in quadratic integer programming;Granot;Math. Programming,1990
4. Convex separable optimization is not much harder than linear optimization;Hochbaum;ACM,1990
5. The relationship between integer and real solutions of constrained convex programming;Werman;Math. Programming,1991
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1. Distances between optimal solutions of mixed-integer programs;Mathematical Programming;2018-08-21
2. Sensitivity Analysis for Convex Separable Optimization Over Integral Polymatroids;SIAM Journal on Optimization;2018-01
3. Inverse optimization for linearly constrained convex separable programming problems;European Journal of Operational Research;2010-02
4. Proximity theorems of discrete convex functions;Mathematical Programming;2004-04-01
5. On the relationship between the integer and continuous solutions of convex programs;Operations Research Letters;2001-09
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