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...

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

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

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

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

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:...

proof of stability. Hierarchical recurrent neural networks (HRNN) connect their neurons in various ways to decompose hierarchical behavior into useful...

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

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

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...

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...

.} The matrix X T X {\displaystyle \mathbf {X} ^{\operatorname {T} }\mathbf {X} } is known as the normal matrix or Gram matrix and the matrix X T y {\displaystyle...

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

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...

a fibre composite material, built as a series of hierarchical levels. At each level of the hierarchy, the collagen units are bound together by either...

hierarchical models there is no relationship between the size of the network and its average clustering coefficient. The development of hierarchical network...

of the original decisions such as the border points, and produces a hierarchical instead of a flat result. In 1972, Robert F. Ling published a closely...

linearly scaling fast weight controller (1992) learns to compute a weight matrix for further processing depending on the input. One of its two networks has...

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

include neural networks, dimensionality reduction on the word co-occurrence matrix, probabilistic models, explainable knowledge base method, and explicit representation...

structure Edge Loop Neighborhood Path Vertex Adjacency list / matrix Incidence list / matrix Types Bipartite Complete Directed Hyper Labeled Multi Random...

as a physical hierarchical star topology, although some texts make no distinction between the two topologies. A physical hierarchical star topology can...

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

Danny (September–October 2006). "Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data" (PDF). IEEE Transactions on Visualization...

the system density matrix. As with Kubo's stochastic Liouville equation in hierarchical form, it goes up to infinity in the hierarchy which is a problem...