Abstract. We consider the interior-point approach to sensitivity analysis in linear programming developed by the authors. We investigate the quality of the interior-point bounds under degeneracy. In the case of a special degeneracy, we show that these bounds have the same nice asymptotic relationship with the optimal partition bounds as in the nondegenerate case. We prove a weaker relationship for general degenerate linear programs
An Interior-Point Perspective on Sensitivity Analysis in Semidefinite Programmin
textabstractIn this chapter we describe the optimal set approach for sensitivity analysis for LP. We...
This paper presents an unifying approach to the theory of degeneracy of basic feasible solutions, ve...
Sensitivity analysis in linear programming studies the stability of optimal solutions and the optima...
Sensitivity analysis in linear programming and semidefinite programming using interior-point method
This thesis focuses on several aspects of data perturbation for Linear Programming. Classical questi...
Linear programming (LP) is a widely used tool in management decision making. Theoretically, sensitiv...
. This establishes theorems about the simultaneous variation of right-hand sides and cost coefficien...
A new method of sensitivity analysis for mixed integer/linear programming (MILP) is derived from the...
Abstract. In this paper, we study how changes in the coefficients of objective function and the righ...
Abstract. In this paper, we study how changes in the coefficients of objective function and the righ...
In this paper, we study how changes in the coefficients of objective function and the right-hand-sid...
An algorithm based on a special duality concept is used to solve an integer linear programming probl...
This paper takes a fresh look at sensitivity analysis in linear programming. We propose a merged app...
This paper takes a fresh look at sensitivity analysis in linear programming. We propose a merged app...
An Interior-Point Perspective on Sensitivity Analysis in Semidefinite Programmin
textabstractIn this chapter we describe the optimal set approach for sensitivity analysis for LP. We...
This paper presents an unifying approach to the theory of degeneracy of basic feasible solutions, ve...
Sensitivity analysis in linear programming studies the stability of optimal solutions and the optima...
Sensitivity analysis in linear programming and semidefinite programming using interior-point method
This thesis focuses on several aspects of data perturbation for Linear Programming. Classical questi...
Linear programming (LP) is a widely used tool in management decision making. Theoretically, sensitiv...
. This establishes theorems about the simultaneous variation of right-hand sides and cost coefficien...
A new method of sensitivity analysis for mixed integer/linear programming (MILP) is derived from the...
Abstract. In this paper, we study how changes in the coefficients of objective function and the righ...
Abstract. In this paper, we study how changes in the coefficients of objective function and the righ...
In this paper, we study how changes in the coefficients of objective function and the right-hand-sid...
An algorithm based on a special duality concept is used to solve an integer linear programming probl...
This paper takes a fresh look at sensitivity analysis in linear programming. We propose a merged app...
This paper takes a fresh look at sensitivity analysis in linear programming. We propose a merged app...
An Interior-Point Perspective on Sensitivity Analysis in Semidefinite Programmin
textabstractIn this chapter we describe the optimal set approach for sensitivity analysis for LP. We...
This paper presents an unifying approach to the theory of degeneracy of basic feasible solutions, ve...