linear assumption
1Decisional Linear assumption — The Decisional Linear (DLIN) assumption is a mathematic assumption used in elliptic curve cryptography. In particular the DLIN assumption is often used in settings in which the Decisional Diffie Hellman assumption does not hold, as is often the… …
2Decision Linear assumption — The Decision Linear (DLIN) assumption is a mathematical assumption used in elliptic curve cryptography. In particular, the DLIN assumption is useful in settings where the decisional Diffie–Hellman assumption does not hold (as is often the case in …
3Linear discriminant analysis — (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterize or separate two or more classes of objects or events. The… …
4Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… …
5Linear least squares/Proposed — Linear least squares is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to observations obtained from experiments. Mathematically, it can be stated as the problem of… …
6Linear predictive coding — (LPC) is a tool used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model. It is one of the most… …
7Линейное допущение (LINEAR ASSUMPTION) — Допущение о том, что взаимосвязь затрат и объема производства имеет линейный характер. Несмотря на то что такое допущение предполагает некоторую погрешность результатов, прямолинейный метод используется чаще, нежели криволинейные зависимости, так …
8Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression …
9Linear no-threshold model — The linear no threshold model (LNT) is a method for predicting the long term, biological damage caused by ionizing radiation and is based on the assumption that the risk is directly proportional to the dose at all dose levels. In other words, the …
10Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… …
