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Tensor network. Tensor networks or tensor network states are a class of variational wave functions used in the study of many-body quantum systems. [1] Tensor networks extend one-dimensional matrix product states to higher dimensions while preserving some of their useful mathematical properties. [2]
A Nassi–Shneiderman diagram (NSD) in computer programming is a graphical design representation for structured programming. This type of diagram was developed in 1972 by Isaac Nassi and Ben Shneiderman who were both graduate students at Stony Brook University. These diagrams are also called structograms, as they show a program's structures.
UML class diagram of a Graph (abstract data type) The basic operations provided by a graph data structure G usually include: adjacent(G, x, y): tests whether there is an edge from the vertex x to the vertex y; neighbors(G, x): lists all vertices y such that there is an edge from the vertex x to the vertex y;
If one draws the data-flow diagram for this pair of operations, the (x 0, x 1) to (y 0, y 1) lines cross and resemble the wings of a butterfly, hence the name (see also the illustration at right). A decimation-in-time radix-2 FFT breaks a length- N DFT into two length- N /2 DFTs followed by a combining stage consisting of many butterfly operations.
v. t. e. In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains. [1] [2] An ANN consists of connected units or nodes called artificial neurons, which loosely model the neurons in a brain.
Computer network diagram. A computer network diagram is a schematic depicting the nodes and connections amongst nodes in a computer network or, more generally, any telecommunications network. Computer network diagrams form an important part of network documentation.
Topological data analysis. In applied mathematics, topological data analysis ( TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information from datasets that are high-dimensional, incomplete and noisy is generally challenging. TDA provides a general framework to analyze such data in a manner that is ...
Substitution–permutation network. In cryptography, an SP-network, or substitution–permutation network ( SPN ), is a series of linked mathematical operations used in block cipher algorithms such as AES (Rijndael), 3-Way, Kalyna, Kuznyechik, PRESENT, SAFER, SHARK, and Square . Such a network takes a block of the plaintext and the key as ...