This paper deals with the Pascal subroutines for solving certain problems in the interval linear programming, especially with calculating the exact range, i.e. the supremum and the infimum of optimal objective function values of a family of LP problems in which all coefficients in constraints vary in given intervals. A theoretical background of the algorithms and a description of the package is included. An application of algorithms regarding a set of feasible coefficients and the solvability set is described in this paper and numerical experiences are also mentioned. 1.) his research was supported by the Grant Agency of the Czech Republic under the grant No. 201/95/1484
Linear Programming problems are solved in the present paper when uncertainty in costs is modelled th...
AbstractAn interval linear program is (IP): maximize ctx s.t. b-⩽Ax⩽b+, where the matrix A, vectors ...
AbstractTwo kinds of optimization problems, which can be used in production planning, have been cons...
The conventional linear programming model requires the parameters which are known as constants. In t...
Determining the set of all optimal solutions of a linear program with interval data is one of the ma...
In order to solve a linear programme, the model coefficients must be fixed at specific values, which...
AbstractIn this paper, we address linear bilevel programs when the coefficients of both objective fu...
This thesis surveys the application of interval arithmetic to linear programming problems and presen...
This thesis combines a traditional concept of linear programming and interval analysis. Interval ana...
Copyright c © 2014 Huiling Duan and Tao Peng. This is an open access article dis-tributed under the ...
This paper introduces an interval valued linear fractional programming problem (IVLFP). An IVLFP is ...
In this paper, two approaches were introduced to obtain Stackelberg solutions for two-level linear f...
One of the basic tools to describe uncertainty in a linear programming model is interval linear prog...
Main topic of this thesis is solving interval linear systems. At first, we describe the structure of...
This dissertation is devoted to solving systems of nonlinear equations. It presents a survey of vari...
Linear Programming problems are solved in the present paper when uncertainty in costs is modelled th...
AbstractAn interval linear program is (IP): maximize ctx s.t. b-⩽Ax⩽b+, where the matrix A, vectors ...
AbstractTwo kinds of optimization problems, which can be used in production planning, have been cons...
The conventional linear programming model requires the parameters which are known as constants. In t...
Determining the set of all optimal solutions of a linear program with interval data is one of the ma...
In order to solve a linear programme, the model coefficients must be fixed at specific values, which...
AbstractIn this paper, we address linear bilevel programs when the coefficients of both objective fu...
This thesis surveys the application of interval arithmetic to linear programming problems and presen...
This thesis combines a traditional concept of linear programming and interval analysis. Interval ana...
Copyright c © 2014 Huiling Duan and Tao Peng. This is an open access article dis-tributed under the ...
This paper introduces an interval valued linear fractional programming problem (IVLFP). An IVLFP is ...
In this paper, two approaches were introduced to obtain Stackelberg solutions for two-level linear f...
One of the basic tools to describe uncertainty in a linear programming model is interval linear prog...
Main topic of this thesis is solving interval linear systems. At first, we describe the structure of...
This dissertation is devoted to solving systems of nonlinear equations. It presents a survey of vari...
Linear Programming problems are solved in the present paper when uncertainty in costs is modelled th...
AbstractAn interval linear program is (IP): maximize ctx s.t. b-⩽Ax⩽b+, where the matrix A, vectors ...
AbstractTwo kinds of optimization problems, which can be used in production planning, have been cons...