Linear optimization, Bi-parametric sensitivity analysis, Optimal partition, Invariancy region, Optimal value function,
A new method of sensitivity analysis for mixed integer/linear programming (MILP) is derived from the...
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any m...
Abstract- Linear programming is the name of a branch of applied mathematics that deals with solving ...
In this paper we study the behavior of Convex Quadratic Optimization problems when variation occurs ...
textabstractIn this chapter we describe the optimal set approach for sensitivity analysis for LP. We...
Abstract. Support set invariancy sensitivity analysis deals with finding the range of the parameter ...
Sensitivity analysis is used to quantify the impact of changes in the initial data of linear program...
. This establishes theorems about the simultaneous variation of right-hand sides and cost coefficien...
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
In optimization, it is used to deal with uncertain and inaccurate factors which make difficult the a...
In this paper, we study the behavior of the optimal value function associated to a convex minimizati...
Sensitivity analysis of optimal solutions for objective functions with stochastic parameters
An algorithm based on a special duality concept is used to solve an integer linear programming probl...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
A new method of sensitivity analysis for mixed integer/linear programming (MILP) is derived from the...
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any m...
Abstract- Linear programming is the name of a branch of applied mathematics that deals with solving ...
In this paper we study the behavior of Convex Quadratic Optimization problems when variation occurs ...
textabstractIn this chapter we describe the optimal set approach for sensitivity analysis for LP. We...
Abstract. Support set invariancy sensitivity analysis deals with finding the range of the parameter ...
Sensitivity analysis is used to quantify the impact of changes in the initial data of linear program...
. This establishes theorems about the simultaneous variation of right-hand sides and cost coefficien...
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
In optimization, it is used to deal with uncertain and inaccurate factors which make difficult the a...
In this paper, we study the behavior of the optimal value function associated to a convex minimizati...
Sensitivity analysis of optimal solutions for objective functions with stochastic parameters
An algorithm based on a special duality concept is used to solve an integer linear programming probl...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
A new method of sensitivity analysis for mixed integer/linear programming (MILP) is derived from the...
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any m...
Abstract- Linear programming is the name of a branch of applied mathematics that deals with solving ...
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