AbstractWe prove that the gap in optimal value, between a mixed-integer program in rationals and its corresponding linear programming relaxation, is bounded as the right-hand-side is varied. In addition, a variant of value iteration is shown to construct subadditive functions which resolve a pure-integer program when no dual degeneracy occurs. These subadditive functions provide solutions to subadditive dual programs for integer programs which are given here, and for which the values of primal and dual problems are equal
Given a linear integer program: max{/b cx/: /b Ax/=/b b/, /b x/>or=0 and integer}, /b A/ rational, i...
Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Researc...
Given an integer programming problem, a constructive procedure is presented for generating a finite ...
AbstractRecent work has provided explicit formulas for the value function of a pure integer program,...
AbstractWe study the function G(b) = inf{cx + dy ∣ Ax + By = b, x, y ⩾ 0 and x integer} under the as...
AbstractWe consider the integer program P→max{c′x|Ax=y;x∈Nn}. Using the generating function of an as...
AbstractThis paper examines algorithmic strategies relating to the formulation of Lagrangian duals, ...
In this paper we consider an infinite relaxation of the mixed integer linear program with two intege...
This thesis deals with various problems arising when dualizing integer programs and combinatorial op...
In this thesis, we develop and implement an efficient algorithm that can exactly solve instances of ...
In this paper, we show that the subadditive dual of a feasible conic mixed-integer program (MIP) is ...
We study a generic minimization problem with separable non-convex piecewise linear costs, showing th...
A mixed-integer program is an optimization problem where one is required to minimize a linear functi...
We introduce generalized subadditive generator functions for mixed integer linear programs. Our resu...
Dual feasible functions (DFFs) were used with much success to compute bounds for several combinatori...
Given a linear integer program: max{/b cx/: /b Ax/=/b b/, /b x/>or=0 and integer}, /b A/ rational, i...
Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Researc...
Given an integer programming problem, a constructive procedure is presented for generating a finite ...
AbstractRecent work has provided explicit formulas for the value function of a pure integer program,...
AbstractWe study the function G(b) = inf{cx + dy ∣ Ax + By = b, x, y ⩾ 0 and x integer} under the as...
AbstractWe consider the integer program P→max{c′x|Ax=y;x∈Nn}. Using the generating function of an as...
AbstractThis paper examines algorithmic strategies relating to the formulation of Lagrangian duals, ...
In this paper we consider an infinite relaxation of the mixed integer linear program with two intege...
This thesis deals with various problems arising when dualizing integer programs and combinatorial op...
In this thesis, we develop and implement an efficient algorithm that can exactly solve instances of ...
In this paper, we show that the subadditive dual of a feasible conic mixed-integer program (MIP) is ...
We study a generic minimization problem with separable non-convex piecewise linear costs, showing th...
A mixed-integer program is an optimization problem where one is required to minimize a linear functi...
We introduce generalized subadditive generator functions for mixed integer linear programs. Our resu...
Dual feasible functions (DFFs) were used with much success to compute bounds for several combinatori...
Given a linear integer program: max{/b cx/: /b Ax/=/b b/, /b x/>or=0 and integer}, /b A/ rational, i...
Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Researc...
Given an integer programming problem, a constructive procedure is presented for generating a finite ...