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
Many large-scale and safety critical systems can be modeled as flow networks. Traditional approaches...
The aim of this paper is to propose a solution method for the minimization of a class of generalized...
Maximum flow problems are expected occurring in some biological networks. As early as in 1950s, Ford...
AbstractFlow networks models require the solution of large sparse systems of multi-point boundary va...
Using geometrically based approaches, optimal characteristics of nonlinear flow networks were examin...
AbstractModel connectivity is utilized to develop efficient methods to solve large systems of non-li...
The approach of using physics-based machine learning to solve PDEs has recently become very popular....
AbstractTwo algorithms are described for solving systems of differential and algebraic equations ari...
The development of mathematical models for studying phenomena observed in vascular networks is very...
Flow problems permeate hydraulic engineering. In order to solve real--life problems, parallel sol...
Steady-state Water Distribution Network models compute pipe flows and nodal heads for assumed nodal ...
This paper presents a method for the reduction of network models described by a system of nonlinear ...
The tensor product B-spline is applied in global solution of approximated mixed integer nonlinear pr...
Numerous complex systems, both natural and artificial, are characterized by the presence of intertwi...
This thesis is concerned with the development of numerical software for the simulation of gas trans...
Many large-scale and safety critical systems can be modeled as flow networks. Traditional approaches...
The aim of this paper is to propose a solution method for the minimization of a class of generalized...
Maximum flow problems are expected occurring in some biological networks. As early as in 1950s, Ford...
AbstractFlow networks models require the solution of large sparse systems of multi-point boundary va...
Using geometrically based approaches, optimal characteristics of nonlinear flow networks were examin...
AbstractModel connectivity is utilized to develop efficient methods to solve large systems of non-li...
The approach of using physics-based machine learning to solve PDEs has recently become very popular....
AbstractTwo algorithms are described for solving systems of differential and algebraic equations ari...
The development of mathematical models for studying phenomena observed in vascular networks is very...
Flow problems permeate hydraulic engineering. In order to solve real--life problems, parallel sol...
Steady-state Water Distribution Network models compute pipe flows and nodal heads for assumed nodal ...
This paper presents a method for the reduction of network models described by a system of nonlinear ...
The tensor product B-spline is applied in global solution of approximated mixed integer nonlinear pr...
Numerous complex systems, both natural and artificial, are characterized by the presence of intertwi...
This thesis is concerned with the development of numerical software for the simulation of gas trans...
Many large-scale and safety critical systems can be modeled as flow networks. Traditional approaches...
The aim of this paper is to propose a solution method for the minimization of a class of generalized...
Maximum flow problems are expected occurring in some biological networks. As early as in 1950s, Ford...
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