Category:Numerical linear algebra

Numerical linear algebra is the intersection of numerical analysis and linear algebra: its purpose is the design and analysis of algorithms for the numerical solution of matrix problems. The most important problems are the solution of systems of linear equations and the determination of eigenvalues.

Articles in category "Numerical linear algebra"

There are 8 articles in this category.

Arnoldi iteration B Block LU decomposition

C Cholesky decomposition Circulant matrix Conjugate gradient method

C cont. Crout matrix decomposition D Divide-and-conquer eigenvalue algorithm E Eigenvalue algorithm