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Created Article Extract Class Creator (# edits) Notes
2024-08-24 Non-physical true random number generator Non-physical true random number generator (NPTRNG), also known as non-physical nondeterministic random bit generator is a true random number generator that does not have access to dedicated hardware entropy source. NPTRNG uses a non-physical noise source that obtains entropy from system data, like outputs of application programming interface functions, residual information in the random access memory, system time or human input (e.g., mouse movements and keystrokes). Start Dimawik (2289)
2024-08-20 Max^n algorithm (A decisive algorithm that solves $n$-player general-sum games.) In combinatorial game theory, the maxn algorithm is an algorithm that finds an equilibrium point for a search tree to favor a specific player in n-player games. The algorithm was designed by Luckhardt and Irani. Stub LeoDog896 (119)
2024-01-25 Domain separation (Cryptographic technique) In cryptography, domain separation is a construct used to implement multiple different functions using only one underlying template in an efficient way. The domain separation can be defined as partitioning of the domain of a function to assign separate subdomains to different applications of the same function. C Evgeny Kapun (101)
2024-07-31 Williamson theorem In the context of linear algebra and symplectic geometry, the Williamson theorem concerns the diagonalization of positive definite matrices through symplectic matrices. Stub Luca Innocenti (447)
2024-04-26 CLRg property In mathematics, the notion of “common limit in the range” property denoted by CLRg property is a theorem that unifies, generalizes, and extends the contractive mappings in fuzzy metric spaces, where the range of the mappings does not necessarily need to be a closed subspace of a non-empty set . Start Mahmoudpd (6)
2024-08-13 Median of the Trapezoid theorem (Geometry theorem about the median of a trapezoid) The Median of the Trapezoid theorem states that the median of a trapezoid is equal in length to the average of the lengths of the two bases. This theorem is a fundamental concept in geometry and has various applications in mathematics, particularly in the study of quadrilaterals. Start SteveLosive (35)
2024-10-29 Rational homology sphere (Manifold with the same rational homology groups as a sphere) In algebraic topology, a rational homology -sphere is an -dimensional manifold with the same rational homology groups as the -sphere. These serve, among other things, to understand which information the rational homology groups of a space can or cannot measure and which attenuations result from neglecting torsion in comparison to the (integral) homology groups of the space. Start Samuel Adrian Antz (1981)
2024-10-29 Rational homotopy sphere (Manifold with the same rational homotopy groups as a sphere) In algebraic topology, a rational homotopy -sphere is an -dimensional manifold with the same rational homotopy groups as the -sphere. These serve, among other things, to understand which information the rational homotopy groups of a space can or cannot measure and which attenuations result from neglecting torsion in comparison to the (integral) homotopy groups of the space. Start Samuel Adrian Antz (1981)
2024-09-28 Random feature Random features (RF) are a technique used in machine learning to approximate kernel methods, introduced by Ali Rahimi and Ben Recht in their 2007 paper "Random Features for Large-Scale Kernel Machines", and extended by. RF uses a Monte Carlo approximation to kernel functions by randomly sampled feature maps. C Cosmia Nebula (8182)
2024-10-20 Integral of a correspondence In mathematics, the integral of a correspondence is a generalization of the integration of single-valued functions to correspondences. C JoaoFrancisco1812 (151)
2024-06-29 Game form (Game theory concept) In game theory and related fields, a game form, game frame, ruleset, or outcome function is the set of rules that govern a game and determine its outcome based on each player's choices. A game form differs from a game in that it does not stipulate the utilities or payoffs for each agent. Start Closed Limelike Curves (6436)
2024-10-18 Model compression (Techniques for lossy compression of neural networks) Model compression is a machine learning technique for reducing the size of trained models. Large models can achieve high accuracy, but often at the cost of significant resource requirements. Compression techniques aim to compress models without significant performance reduction. C Cosmia Nebula (8182)
2024-08-28 Cipher device A cipher device was a term used by the US military in the first half of the 20th century to describe a manually operated cipher equipment that converted the plaintext into ciphertext or vice versa. A similar term, cipher machine, was used to describe the cipher equipment that required external power for operation. Stub Teemu Leisti (2878)
2024-09-07 Modified Kumaraswamy distribution (Concept in probability theory) Start KallinAZ (17)
2024-06-25 Epanechnikov distribution (Mathematical term) In probability theory and statistics, the Epanechnikov distribution, also known as the Epanechnikov kernel, is a continuous probability distribution that is defined on a finite interval. It is named after V. A. Epanechnikov, who introduced it in 1969 in the context of kernel density estimation. Start Jonbarron (20)
2024-11-24 Gimli (cipher) Gimli is a 384-bit cryptographically secure pseudorandom permutation that can be used to construct a hash function or stream cipher by using it in a sponge construction. Start Laura240406 (741)
2024-03-05 Chirawat Wangthaphan (Thai footballer) Chirawat Wangthaphan (Thai: จิรวัฒน์ วังทะพันธ์, born 26 July 1998) is a Thai professional footballer who plays as a goalkeeper for Thai League 1 club Khonkaen United. Stub Puan555 (5088)
2024-10-28 Eventually stable polynomial A non-constant polynomial with coefficients in a field is said to be eventually stable if the number of irreducible factors of the -fold iteration of the polynomial is eventually constant as a function of . The terminology is due to R. Start Hydrohydro (14)
2024-11-22 Kobayashi's theorem (Distribution in number theory) In number theory, Kobayashi's theorem is a result concerning the distribution of prime factors in shifted sequences of integers. The theorem, proved by Hiroshi Kobayashi, demonstrates that shifting a sequence of integers with finitely many prime factors necessarily introduces infinitely many new prime factors. Start GregariousMadness (623)
2024-08-20 Mill's Inequality (probabilistic inequality) Mill's Inequality is a useful tail bound on Normally distributed random variables. \frac{\exp(-t^2/2)}{t} \le \frac{\exp(-t^2/2)}{t}</math> Stub Wqwt (952)
2024-12-04 Weierstrass Nullstellensatz (Theorem in mathematics) In mathematics, the Weierstrass Nullstellensatz is a version of the intermediate value theorem over a real closed field. It says: Stub TakuyaMurata (89963)
2024-10-03 List of mathematical objects This is a list of mathematical objects, organized by branch. Stub Farkle Griffen (1519)
2024-08-03 Chance constrained programming Chance Constrained Programming (CCP) is a mathematical optimization approach used to handle problems under uncertainty. It was first introduced by Charnes and Cooper in 1959 and further developed by Miller and Wagner in 1965. CCP is widely used in various fields, including finance, engineering, and operations research, to optimize decision-making processes where certain constraints need to be satisfied with a specified probability. B Alaexis (17676)
2018-12-30 James C. Cox (American economist) James Connor Cox (born May 29, 1943) is an American economist. He currently is the Noah Langdale Jr. Chair in Economics and Georgia Research Alliance Eminent Scholar at Georgia State University. He is the Founding Director of the Experimental Economics Center at Georgia State. C Animalparty (101900)
2024-12-20 Extreme set Let , where is a vector space. Start Rigmat (52)
2024-10-05 Weight initialization (Technique for setting initial values of trainable parameters in a neural network) In deep learning, weight initialization describes the initial step in creating a neural network. A neural network contains trainable parameters that are modified during training: weight initialization is the pre-training step of assigning initial values to these parameters. C Cosmia Nebula (8182)
2024-06-23 Agnew's theorem (Theorem about permutations that preserve convergence for all converging series) Agnew's theorem, proposed by American mathematician Ralph Palmer Agnew, characterizes reorderings of terms of infinite series that preserve convergence for all series. Start UnladenSwallow (3161)
2024-12-08 Two-proportion Z-test The Two-proportion Z-test is a statistical method used to determine whether the difference between the proportions of two groups, coming from a binomial distribution is statistically significant. This approach relies on the assumption that the sample proportions follow a normal distribution under the Central Limit Theorem, allowing the construction of a z-test for hypothesis testing and confidence interval estimation. C Talgalili (3208)

Last updated by SDZeroBot operator / talk at 13:39, 24 December 2024 (UTC)