Numerical linear algebra

In mathematics, and in particular linear algebra, a pseudoinverse A+ of a matrix A is a generalization of the inverse matrix.

In the mathematical discipline of linear algebra, a triangular matrix is a special kind of square matrix.

In mathematics, the conjugate gradient method is an algorithm for the numerical solution of particular systems of linear equations, namely those whose matrix is symmetric and positive-definite.

In linear algebra, Gaussian elimination (also known as row reduction) is an algorithm for solving systems of linear equations.

In numerical linear algebra, a Givens rotation is a rotation in the plane spanned by two coordinates axes.

In linear algebra, a Householder transformation (also known as Householder reflection or elementary reflector) is a linear transformation that describes a reflection about a plane or hyperplane containing the origin.

In linear algebra, the Strassen algorithm, named after Volker Strassen, is an algorithm for matrix multiplication.

In mathematics, a system of linear equations (or linear system) is a collection of two or more linear equations involving the same set of variables.

In mathematics, and more specifically in linear algebra and functional analysis, the kernel (also known as null space or nullspace) of a linear map L : V → W between two vector spaces V and W, is the set of all elements v of V for which L(v) = 0, where 0 denotes the zero vector in W.

SequenceL is a general purpose functional programming language and auto-parallelizing (Parallel computing) tool set, whose primary design objectives are performance on multi-core processor hardware, ease of programming, platform portability/optimization, and code clarity and readability.

In statistics and mathematics, linear least squares is an approach fitting a mathematical or statistical model to data in cases where the idealized value provided by the model for any data point is expressed linearly in terms of the unknown parameters of the model.