numerical mathematics, hierarchical matrices (H-matrices) are used as data-sparse approximations of non-sparse matrices. While a sparse matrix of dimension n...

A hierarchical organization or hierarchical organisation (see spelling differences) is an organizational structure where every entity in the organization...

function of many variables Hierarchical matrix, a data-sparse approximation of a non-sparse matrix Hilbert matrix, a square matrix with entries being the...

statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters...

curse in three steps: Hierarchical Clustering: Assets are grouped into clusters based on their correlations, forming a hierarchical tree structure. Quasi-Diagonalization:...

organization. The different types of organization charts include: Hierarchical Matrix Flat (also known as Horizontal) There is no accepted form for making...

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

mathematics, computer science and especially graph theory, a distance matrix is a square matrix (two-dimensional array) containing the distances, taken pairwise...

The Hierarchical navigable small world (HNSW) algorithm is a graph-based approximate nearest neighbor search technique used in many vector databases. Nearest...

published "Some hierarchical models for automatic document retrieval" in 1963 which also included a visual depiction of a document-term matrix. Salton was...

Cooley–Tukey FFT algorithm was originally designed for systems with hierarchical memory common in modern computers (and was the first FFT algorithm in...

culture management and matrix management, amongst others. None of these however has left behind the core tenets of Bureaucracy. Hierarchies still exist, authority...

marketing hierarchy, an engineering-oriented company produced "many ground-breaking computer systems." This is an example of cross-functional matrix management...

in terms of a hierarchical matrix approximation (HODLR) or basis function expansion (LatticeKrig, MRA, wavelets). The hierarchical matrix approach can...

diagrammatic representation is frequently used in different contexts: in hierarchical clustering, it illustrates the arrangement of the clusters produced by...

and take care of a local region alone (thus the name "local experts"). Hierarchical mixtures of experts uses multiple levels of gating in a tree. Each gating...

Bauer integrated matrix and discrete systems into USQ, or Universal SQ. It was a hierarchical 4-4-4 discrete matrix that used the SQ matrix as the baseband...

A risk matrix is a matrix that is used during risk assessment to define the level of risk by considering the category of likelihood (often confused with...

reality with the blue pill. The pills were used as props in the 1999 film The Matrix. Historians of film note that the trope of a "red pill" as decisive in a...

and Student B respectively. This represents a hierarchical data scheme. A solution to modeling hierarchical data is using linear mixed models. LMMs allow...

generalization of Rosenblatt's perceptron to handle more complex, nonlinear, and hierarchical relationships. A 1971 paper described a deep network with eight layers...

matrix is represented as a sequential matrix of rows and the requirement is to access a single column of the matrix. Efficiency of memory hierarchy use:...

Anthony Skjellum: A framework for high-performance matrix multiplication based on hierarchical abstractions, algorithms and optimized low-level kernels...

inverse of the covariance matrix. Hierarchical: algorithms which approximate the covariance matrix with a hierarchical matrix. These columns are about...

2014-07-09. "Radeon Gallium3D Hierarchical-Z Updated (R600)". Radeon Gallium3D Hierarchical-Z Updated (R600). 2012-02-08. "Feature matrix of the free and open-source...

Nonlinear mixed-effects model Bayesian hierarchical modeling Restricted randomization also known as hierarchical linear models, linear mixed-effect models...

This is distinct from the pyramid scheme variation making use of the hierarchical flower model, where new members are continually recruited into the group...

have been cited 12180 times, and he has an h-index of 46. Hierarchical Algorithms on Hierarchical Architectures, D. Keyes, H. Ltaief & G. Turkiyyah, 2020...

temporary matrix T, but a more practical variant achieves Θ(n2) speedup, without using a temporary matrix. On modern architectures with hierarchical memory...

computational complexity theory, the polynomial hierarchy (sometimes called the polynomial-time hierarchy) is a hierarchy of complexity classes that generalize...