AbstractLet E=[eij] be a matrix with integral elements. We study matrices of the form X=[eeij], where x is an indeterminate defined over the rational field Q. There is a fascinating interplay between the combinatorial structures of the matrices E and X. For example, in the case of square matrices the number of optimal assignments in the matrix E is precisely the coefficient of the term of highest degree in the polynomial per(X). We allow the multiplication of rows and columns of X by arbitrary integral powers of x, and we study topics such as the diagonal products of X. We apply certain familiar results to this “exponential” setting, and we also introduce some new concepts, such as the class of matrices S(X) generated by a matrix X and the ...
In this paper, the mixed-integer linear programming (MILP) of minimax assignment is formed, and a so...
AbstractThe job rotation problem (JRP) is the following: Given an n×n matrix A over R∪{−∞} and k≤n, ...
In this paper, the mixed-integer linear programming (MILP) of minimax assignment is formed, and a so...
AbstractLet E=[eij] be a matrix with integral elements. We study matrices of the form X=[eeij], wher...
AbstractLet E=[eij] be a matrix with integral elements, and let x be an indeterminate defined over t...
AbstractLet E=[eij] be a matrix with integral elements, and let x be an indeterminate defined over t...
The Assignment Problem (AP) is one of the most popular and intensivelystudied topics in combinatori...
The Assignment Problem (AP) is one of the most popular and intensivelystudied topics in combinatori...
AbstractWe present a necessary and sufficient condition to represent a Laurent series matrix A(x) as...
The job rotation problem (JRP) is the following: Given an n × n matrix A over R ∪ {−∞} and k ≤ n, fi...
The job rotation problem (JRP) is the following: Given an n × n matrix A over R ∪ {−∞} and k ≤ n, fi...
The topic of this thesis is linear optimization in relation to doubly stochastic matrices, which con...
The paper studies a general inverse eigenvalue problem which contains as special cases many well stu...
We present a new polynomially solvable case of the Quadratic Assignment Problem in Koopmans–Beckman ...
This paper presents a new algorithm for the well-studied assignment problem. Our assignment algorith...
In this paper, the mixed-integer linear programming (MILP) of minimax assignment is formed, and a so...
AbstractThe job rotation problem (JRP) is the following: Given an n×n matrix A over R∪{−∞} and k≤n, ...
In this paper, the mixed-integer linear programming (MILP) of minimax assignment is formed, and a so...
AbstractLet E=[eij] be a matrix with integral elements. We study matrices of the form X=[eeij], wher...
AbstractLet E=[eij] be a matrix with integral elements, and let x be an indeterminate defined over t...
AbstractLet E=[eij] be a matrix with integral elements, and let x be an indeterminate defined over t...
The Assignment Problem (AP) is one of the most popular and intensivelystudied topics in combinatori...
The Assignment Problem (AP) is one of the most popular and intensivelystudied topics in combinatori...
AbstractWe present a necessary and sufficient condition to represent a Laurent series matrix A(x) as...
The job rotation problem (JRP) is the following: Given an n × n matrix A over R ∪ {−∞} and k ≤ n, fi...
The job rotation problem (JRP) is the following: Given an n × n matrix A over R ∪ {−∞} and k ≤ n, fi...
The topic of this thesis is linear optimization in relation to doubly stochastic matrices, which con...
The paper studies a general inverse eigenvalue problem which contains as special cases many well stu...
We present a new polynomially solvable case of the Quadratic Assignment Problem in Koopmans–Beckman ...
This paper presents a new algorithm for the well-studied assignment problem. Our assignment algorith...
In this paper, the mixed-integer linear programming (MILP) of minimax assignment is formed, and a so...
AbstractThe job rotation problem (JRP) is the following: Given an n×n matrix A over R∪{−∞} and k≤n, ...
In this paper, the mixed-integer linear programming (MILP) of minimax assignment is formed, and a so...