Many researchers are now working on computing the product of a matrix function and a vector, using approximations in a Krylov subspace.

Many researchers are now working on computing the product of a matrix function and a vector, using approximations in a Krylov subspace.

Many researchers are now working on computing the product of a matrix function and a vector, using approximations in a Krylov subspace.

Oct 22, 2024 · Many researchers are now working on computing the product of a matrix function and a vector, using approximations in a Krylov subspace.

Krylov subspace approximation of eigenpairs and matrix functions in exact and computer arithmetic · V. Druskin, L. Knizhnerman · Published in Numerical Linear ...

Krylov subspace approximation of eigenpairs and matrix functions in exact and computer arithmetic. Published:1995-05 Issue:3 Volume:2 Page:205-217. ISSN:1070 ...

Krylov subspace approximation of eigenpairs and matrix functions in exact and computer arithmetic · Vladimir Druskin · Leonid Knizhnerman ...

Krylov subspace approximation of eigenpairs and matrix functions in exact and computer arithmetic · Numerical Linear Algebra with Applications 2(3): 205-217.

Abstract. Krylov subspace methods for approximating the action of matrix exponentials are analyzed in this paper. We derive error bounds via a functional ...

Abstract. In this note we present a theoretical analysis of some Krylov subspace approximations to the matrix exponential operation exp(A)v and establish a ...