linear assumption
11Linear model — In statistics the linear model is given by:Y = X eta + varepsilonwhere Y is an n times;1 column vector of random variables, X is an n times; p matrix of known (i.e. observable and non random) quantities, whose rows correspond to statistical… …
12Linear B — Infobox Writing system name=Linear B type=Syllabary typedesc=with additional Logograms time=Late Bronze Age status=Extinct languages=Mycenaean Greek fam1= Linear A sisters=Cypro Minoan syllabary unicode=… …
13Linear logic — In mathematical logic, linear logic is a type of substructural logic that denies the structural rules of weakening and contraction . The interpretation is of hypotheses as resources : every hypothesis must be consumed exactly once in a proof.… …
14Linear elasticity — Continuum mechanics …
15Linear transform model — The linear transform model refers to a fundamental assumption guiding the analysis of functional Magnetic Resonance Imaging (fMRI) studies. Specifically, the model holds that the fMRI signal is approximately proportional to a measure of local… …
16linear programming — Math. any of several methods for finding where a given linear function of several nonnegative variables assumes an extreme value and for determining the extreme value, the variable usually being subjected to constraints in the form of linear… …
17Decisional Diffie-Hellman assumption — The decisional Diffie Hellman (DDH) assumption is a computational hardness assumption about a certain problem involving discrete logarithms in cyclic groups. It is used as the basis to prove the security of many cryptographic protocols, most… …
18Decisional Diffie–Hellman assumption — The decisional Diffie–Hellman (DDH) assumption is a computational hardness assumption about a certain problem involving discrete logarithms in cyclic groups. It is used as the basis to prove the security of many cryptographic protocols, most… …
19Projection (linear algebra) — Orthogonal projection redirects here. For the technical drawing concept, see orthographic projection. For a concrete discussion of orthogonal projections in finite dimensional linear spaces, see vector projection. The transformation P is the… …
20Simple linear regression — A simple linear regression is a linear regression in which there is only one covariate (predictor variable). Simple linear regression is a form of multiple regression. Simple linear regression is used in situations to evaluate the linear… …
