AbstractFlow networks models require the solution of large sparse systems of multi-point boundary value differential equations. Methods for the efficient solution of such equations are described. The primary focus is on computational efficiency based on model connectivity and accuracy based on the use of quadrature formulas using polynomial interpolations
Two massively parallel algorithms for large scale linear and convex quadratic network flow problems ...
A useful approach to “compress” a large network G is to represent it with a flow-sparsifier, i.e., a...
The finite element method can be used to provide network models of distribution problems. In the pre...
AbstractFlow networks models require the solution of large sparse systems of multi-point boundary va...
Nowadays, it is common that water distribution network (WDN) models contain thousands of elements to...
Abstract: The theory and applications of network flows is probabily the most important single tool f...
Increasing efforts exist in integrating different levels of detail in models of the cardiovascular s...
When the underlying physical network layer in optimal network flow problems is a large graph, the as...
We describe the development of a data-level, massively parallel software system for the solution of ...
Many large-scale and safety critical systems can be modeled as flow networks. Traditional approaches...
This paper presents a method for the reduction of network models described by a system of nonlinear ...
The finite element method can be used to provide network models of distribution problems. In the pre...
Water drainage modeling codes need to be updated with parallel simulation capability to leverage mod...
Flow problems permeate hydraulic engineering. In order to solve real--life problems, parallel sol...
This paper considers direct and iterative solution methods for the matrix equation Ax=b in the conte...
Two massively parallel algorithms for large scale linear and convex quadratic network flow problems ...
A useful approach to “compress” a large network G is to represent it with a flow-sparsifier, i.e., a...
The finite element method can be used to provide network models of distribution problems. In the pre...
AbstractFlow networks models require the solution of large sparse systems of multi-point boundary va...
Nowadays, it is common that water distribution network (WDN) models contain thousands of elements to...
Abstract: The theory and applications of network flows is probabily the most important single tool f...
Increasing efforts exist in integrating different levels of detail in models of the cardiovascular s...
When the underlying physical network layer in optimal network flow problems is a large graph, the as...
We describe the development of a data-level, massively parallel software system for the solution of ...
Many large-scale and safety critical systems can be modeled as flow networks. Traditional approaches...
This paper presents a method for the reduction of network models described by a system of nonlinear ...
The finite element method can be used to provide network models of distribution problems. In the pre...
Water drainage modeling codes need to be updated with parallel simulation capability to leverage mod...
Flow problems permeate hydraulic engineering. In order to solve real--life problems, parallel sol...
This paper considers direct and iterative solution methods for the matrix equation Ax=b in the conte...
Two massively parallel algorithms for large scale linear and convex quadratic network flow problems ...
A useful approach to “compress” a large network G is to represent it with a flow-sparsifier, i.e., a...
The finite element method can be used to provide network models of distribution problems. In the pre...
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