summary:In order to save CPU-time in solving large systems of equations in function spaces we decompose the large system in subsystems and solve the subsystems by an appropriate method. We give a sufficient condition for the convergence of the corresponding procedure and apply the approach to differential algebraic systems
Physical systems are usually modeled by differential equations, but solving these differential equat...
AbstractA group of algorithms for the numerical solution of elliptic partial differential equations ...
summary:The structure of solution-sets for the equation $F(x)=G(y)$ is discussed, where $F,G$ are gi...
summary:In order to save CPU-time in solving large systems of equations in function spaces we decomp...
Consider the nonlinear equation (*) x = Tx + ƒ with a strictly contractive operator T in some real s...
In the second edition of this classic monograph, complete with four new chapters and updated referen...
summary:For a large system of linear algebraic equations $A_x=b$, the approximate solution $x_k$ is ...
When solving PDE's by means of numerical methods one often has to deal with large systems of linear ...
AbstractIt is proved that the class of operator equations F(y)=f solvable by a DSM (dynamical system...
summary:In the paper the comparison method is used to prove the convergence of the Picard iterations...
textabstractWe consider the systems of ordinary differential equations (ODEs) obtained by spatial di...
AbstractWe continue the study of the convergence of dynamic iteration methods by applying them to li...
AbstractThe author's decomposition method using his An polynomials for the nonlinearities has been s...
We develop new upper bounds for several effective differential elimination techniques for systems of...
Various ordinary differential equations of the first order have recently been used by the author for...
Physical systems are usually modeled by differential equations, but solving these differential equat...
AbstractA group of algorithms for the numerical solution of elliptic partial differential equations ...
summary:The structure of solution-sets for the equation $F(x)=G(y)$ is discussed, where $F,G$ are gi...
summary:In order to save CPU-time in solving large systems of equations in function spaces we decomp...
Consider the nonlinear equation (*) x = Tx + ƒ with a strictly contractive operator T in some real s...
In the second edition of this classic monograph, complete with four new chapters and updated referen...
summary:For a large system of linear algebraic equations $A_x=b$, the approximate solution $x_k$ is ...
When solving PDE's by means of numerical methods one often has to deal with large systems of linear ...
AbstractIt is proved that the class of operator equations F(y)=f solvable by a DSM (dynamical system...
summary:In the paper the comparison method is used to prove the convergence of the Picard iterations...
textabstractWe consider the systems of ordinary differential equations (ODEs) obtained by spatial di...
AbstractWe continue the study of the convergence of dynamic iteration methods by applying them to li...
AbstractThe author's decomposition method using his An polynomials for the nonlinearities has been s...
We develop new upper bounds for several effective differential elimination techniques for systems of...
Various ordinary differential equations of the first order have recently been used by the author for...
Physical systems are usually modeled by differential equations, but solving these differential equat...
AbstractA group of algorithms for the numerical solution of elliptic partial differential equations ...
summary:The structure of solution-sets for the equation $F(x)=G(y)$ is discussed, where $F,G$ are gi...