a totally positive matrix is a square matrix in which all the minors are positive: that is, the determinant of every square submatrix is a positive number...

In mathematics, a symmetric matrix M {\displaystyle M} with real entries is positive-definite if the real number x ⊤ M x {\displaystyle \mathbf {x} ^{\top...

them. By summing up the 2 rows of the confusion matrix, one can also deduce the total number of positive (P) and negative (N) samples in the original dataset...

matrices used in mathematics, science and engineering. A matrix (plural matrices, or less commonly matrixes) is a rectangular array of numbers called entries...

variation diminishing property. The variation diminishing property of totally positive matrices is a consequence of their decomposition into products of Jacobi...

in the Matrix franchise to be directed solely by Lana. It is the sequel to The Matrix Revolutions (2003) and the fourth installment in The Matrix film series...

work on non-negative matrix factorizations was performed by a Finnish group of researchers in the 1990s under the name positive matrix factorization. It...

is also totally positive (meaning that the determinant of every submatrix is positive). The Hilbert matrix is an example of a Hankel matrix. It is also...

are positive integers. A matrix with m {\displaystyle m} rows and n {\displaystyle n} columns is called an m × n {\displaystyle m\times n} matrix, or...

Enter the Matrix and The Animatrix, a collection of short animations, supported and expanded the film's story. The film received generally positive reviews...

The Matrix is an American cyberpunk media franchise consisting of four feature films, beginning with The Matrix (1999) and continuing with three sequels...

vector calculus, the Jacobian matrix (/dʒəˈkoʊbiən/, /dʒɪ-, jɪ-/) of a vector-valued function of several variables is the matrix of all its first-order partial...

complex matrix into a rotation, followed by a rescaling followed by another rotation. It generalizes the eigendecomposition of a square normal matrix with...

In mathematics, a Hermitian matrix (or self-adjoint matrix) is a complex square matrix that is equal to its own conjugate transpose—that is, the element...

algebra, eigendecomposition is the factorization of a matrix into a canonical form, whereby the matrix is represented in terms of its eigenvalues and eigenvectors...

rotation matrix is a transformation matrix that is used to perform a rotation in Euclidean space. For example, using the convention below, the matrix R = [...

In mathematics, the Hessian matrix, Hessian or (less commonly) Hesse matrix is a square matrix of second-order partial derivatives of a scalar-valued function...

E(V/R)} . False positives and false negatives False coverage rate False discovery rate Sensitivity and specificity Confusion matrix Contingency table...

sequels back-to-back, The Matrix Reloaded and The Matrix Revolutions, both released in 2003. The Matrix Reloaded received positive critical reception, although...

P positive instances and N negative instances for some condition. The four outcomes can be formulated in a 2×2 contingency table or confusion matrix, as...

linear algebra, a skew-symmetric (or antisymmetric or antimetric) matrix is a square matrix whose transpose equals its negative. That is, it satisfies the...

the symmetric positive-definite matrix Σ = [ A B B T C ] , {\displaystyle \Sigma =\left[{\begin{matrix}A&B\\B^{\mathrm {T} }&C\end{matrix}}\right],} where...

The Matrix: Path of Neo is a 2005 action-adventure video game developed by Shiny Entertainment and published by Atari. The game was written and co-directed...

It is also called a probability matrix, transition matrix, substitution matrix, or Markov matrix. The stochastic matrix was first developed by Andrey Markov...

In linear algebra, a minor of a matrix A is the determinant of some smaller square matrix generated from A by removing one or more of its rows and columns...

planning and strategic management, SWOT analysis (also known as the SWOT matrix, TOWS, WOTS, WOTS-UP, and situational analysis) is a decision-making technique...

Consequently, each is necessarily a positive-semidefinite matrix. Moreover, the correlation matrix is strictly positive definite if no variable can have...

concave/convex Hermitian valued functions. These functions arise naturally in matrix and operator theory and have applications in many areas of physics and engineering...

represents all positive integers if and only if it represents all integers up through 290; if it has an integral matrix, it represents all positive integers...

factorization factors a matrix as the product of a lower triangular matrix and an upper triangular matrix (see matrix multiplication and matrix decomposition)...