The problem considered in this paper is that of consistently rounding off the elements of a matrix and its row and column sums. It is shown that a class of rounding problems of this kind is equivalent to a class of problems of determining flows through networks having arbitrary lower as well as upper bounds on edge flows. An existence theorem first proved by Hoffman for flows in such networks is used to show that an important subclass of the matrix rounding problems considered is always soluble. An algorithm for the entire class is illustrated by a numerical example.
We show that any real valued matrix A can be rounded to an integer one B such that the error in all ...
We give a general method for rounding linear programs that combines the commonly used iterated round...
When factorizing binary matrices, we often have to make a choice between using expensive combinatori...
We show that any real matrix can be rounded to an integer matrix in such a way that the rounding err...
We study the problem of rounding a real-valued matrix into an integer-valued matrix to minimize an L...
AbstractThere exist general purpose algorithms to solve the integer linear programming problem but n...
We study two of the most central classical optimization problems, namely the Traveling Salesman prob...
AbstractThe linear discrepancy problem is to round a given [0,1]-vector x to a binary vector y such ...
Rounding linear programs using techniques from discrepancy is a recent approach that has been very s...
From time to time, people dealing with accounting are faced with the following table rounding proble...
AbstractConsider the problem of finding an integer matrix that satisfies given constraints on its le...
In this thesis, a number of optimization problems are presented from algorithmic graph theory. This ...
A common approach to deal with NP-hard problems is to deploy polymonial-time e-approximation algorit...
Abstract. We investigate how extra-precise accumulation of dot products can be used to solve ill-con...
We show several ways to round a real matrix to an integer one in such a way that the rounding errors...
We show that any real valued matrix A can be rounded to an integer one B such that the error in all ...
We give a general method for rounding linear programs that combines the commonly used iterated round...
When factorizing binary matrices, we often have to make a choice between using expensive combinatori...
We show that any real matrix can be rounded to an integer matrix in such a way that the rounding err...
We study the problem of rounding a real-valued matrix into an integer-valued matrix to minimize an L...
AbstractThere exist general purpose algorithms to solve the integer linear programming problem but n...
We study two of the most central classical optimization problems, namely the Traveling Salesman prob...
AbstractThe linear discrepancy problem is to round a given [0,1]-vector x to a binary vector y such ...
Rounding linear programs using techniques from discrepancy is a recent approach that has been very s...
From time to time, people dealing with accounting are faced with the following table rounding proble...
AbstractConsider the problem of finding an integer matrix that satisfies given constraints on its le...
In this thesis, a number of optimization problems are presented from algorithmic graph theory. This ...
A common approach to deal with NP-hard problems is to deploy polymonial-time e-approximation algorit...
Abstract. We investigate how extra-precise accumulation of dot products can be used to solve ill-con...
We show several ways to round a real matrix to an integer one in such a way that the rounding errors...
We show that any real valued matrix A can be rounded to an integer one B such that the error in all ...
We give a general method for rounding linear programs that combines the commonly used iterated round...
When factorizing binary matrices, we often have to make a choice between using expensive combinatori...