Rayleigh quotient iteration is an eigenvalue algorithm which extends the idea of the inverse iteration by using the Rayleigh quotient to obtain increasingly accurate eigenvalue estimates.

The Matrix Exponential is a matrix function on square matrices analogous to the ordinary exponential function. Matrix exponentials provide a concise way of describing the solutions to systems of homogeneous linear divergent equations.

In probability and statistics, the Weibull distribution is a continuous 3 factor probability distribution.

Matrix Eigenvalue Calculator calculates eigenvalues and eigenvectors for 2x2 symmetric and non-symmetric square matrices.

In linear algebra, a Hessenberg matrix is a special kind of square matrix, a type of a triangular matrix. The Upper Hessenberg matrix has zero entries below the first subdiagonal, and theLlower Hessenberg matrix has zero entries above the first superdiagonal

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In Linear Algebra, the Crout Matrix Decomposition is an LU decomposition which decomposes a matrix into a Lower Triangular Matrix (L) and an Upper Triangular Matrix (U).

In Linear Algebra, the Doolittle Matrix Decomposition is an LU decomposition which decomposes a matrix into a Lower Triangular Matrix (L) and an Upper Triangular Matrix (U).

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In linear algebra, Cholesky decomposition or Cholesky factorization is a decomposition of a positive-definite symmetric matrix into the product of a lower triangular matrix and its conjugate transpose,

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The Triangular Distribution is a continuous probability distribution with a probability density function shaped like a triangle. It is defined by three values: the minimum value a, the maximum value b, and the mode value c where a less b and a less c less b.

The Dirichlet series is the alternating sum corresponding to the Dirichlet series expansion of the Riemann zeta function, ζ(s) — and for this reason the Dirichlet eta function is also known as the alternating zeta function, also denoted ζ*(s).

In probability theory the von Mises distribution is a continuous distribution that is the equivalent of the Normal distribution for data defined with directional coordinates, i.e. over the range [-π,π]. It is a close approximation to the wrapped normal distribution, which is the circular analogue of the normal distribution. A freely diffusing angle on a circle is a wrapped normally distributed random variable with an unwrapped variance that grows linearly in time.

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The Semicircle Distribution is the probability distribution supported on the interval [−R, R] the graph of whose probability density function f is a semicircle of radius R centered at (0, 0) and then suitably normalized (so that it is really a semi-ellipse):