Numerical integration of differential equations and large linear systems : proceedings of two workshops held at the University of Bielefeld, Spring 1980

Bibliographic Information

Numerical integration of differential equations and large linear systems : proceedings of two workshops held at the University of Bielefeld, Spring 1980

edited by Juergen Hinze

(Lecture notes in mathematics, 968)

Springer-Verlag, 1982

  • : Berlin
  • : New York

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Includes bibliographical references

Description and Table of Contents

Table of Contents

An overview of the techniques in use for solving the coupled equations of scattering theory.- Weyl's theory for second order differential equations and its application to some problems in quantum chemistry.- The discretization of continuous infinite sets of coupled ordinary linear differential equations: Application to the collision-induced dissociation of a diatomic molecule by an atom.- Extraction of continuum properties from L2 basis set matrix representations of the schroedinger equation: the sturm sequence polynomials and gauss quadrature.- Approximate solution of schroedinger's equation for atoms.- Numerical integration of linear inhomogeneous ordinary differential equations appearing in the nonadiabatic theory of small molecules.- Computation of solenoidal (divergence-free) vector fields.- Efficient solution of a nonlinear heat conduction problem by use of fast elliptic reduction and multigrid methods.- Are the numerical methods and software satisfactory for chemical kinetics?.- Optimization of nonlinear kinetic equation computation.- Automatic detection and treatment of oscillatory and/or stiff ordinary differential equations.- Characterization of non-linearly stable implicit Runge-Kutta methods.- Compact deferred correction formulas.- Solving odes in quasi steady state.- A singular perturbations approach to reduced-order modeling and decoupling for large scale linear systems.- Global codes for BVODEs and their comparison.- Global error estimation in ordinary initial value problems.- Lower bounds for the accuracy of linear multistep methods.- Asymptotic error expansions and discrete newton methods for elliptic boundary value problems.- The use of sparse matrix techniques in ode - Codes.- On conjugate gradient methods for large sparse systems of linear equations.- A preconditioned tchebycheff iterative solution method for certain large sparse linear systems with a non-symmetric matrix.- On modified incomplete factorization methods.- Solving large sparse linear systems arising in queuing problems.- Large eigenvalue problems in quantum chemistry.- Variational pseudo-gradient method for determination of m first eigenstates of a large real symmetric matrix.- Simultaneous rayleigh-quotient iteration methods for large sparse generalized eigenvalue problems.- Large sparse unsymmetric eigenvalue problems.

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