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non-linear algorithm

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  • Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… …   Wikipedia

  • Non-linear editing system — NLE redirects here. For the standardized test, see National Latin Examination. For non linear or non destructive editing of 2D images, see Non destructive editing. In video, a non linear editing system (NLE) is a video editing (NLVE) or audio… …   Wikipedia

  • Non-linear iterative partial least squares — In statistics, non linear iterative partial least squares (NIPALS) is an algorithm for computing the first few components in a principal component or partial least squares analysis. For very high dimensional datasets, such as those generated in… …   Wikipedia

  • Linear 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… …   Wikipedia

  • Linear code — In mathematics and information theory, a linear code is an important type of block code used in error correction and detection schemes. Linear codes allow for more efficient encoding and decoding algorithms than other codes (cf. syndrome… …   Wikipedia

  • Linear classifier — In the field of machine learning, the goal of classification is to group items that have similar feature values, into groups. A linear classifier achieves this by making a classification decision based on the value of the linear combination of… …   Wikipedia

  • Linear cryptanalysis — In cryptography, linear cryptanalysis is a general form of cryptanalysis based on finding affine approximations to the action of a cipher. Attacks have been developed for block ciphers and stream ciphers. Linear cryptanalysis is one of the two… …   Wikipedia

  • Linear-quadratic-Gaussian control — In control theory, the linear quadratic Gaussian (LQG) control problem is one of the most fundamental optimal control problems. It concerns uncertain linear systems disturbed by additive white Gaussian noise, having incomplete state information… …   Wikipedia

  • Linear feedback shift register — [ xor gate provides feedback to the register that shifts bits from left to right. The maximal sequence consists of every possible state except the 0000 state.] A linear feedback shift register (LFSR) is a shift register whose input bit is a… …   Wikipedia

  • Linear programming — (LP, or linear optimization) is a mathematical method for determining a way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathematical model for some list of requirements represented as linear relationships.… …   Wikipedia

  • Linear partial information — (LPI) is a method of making decisions based on insufficient or fuzzy information. LPI was introduced in 1970 by Polish Swiss mathematician Edward Kofler (1911 2007) to simplify decision processes. Comparing to other methods the LPI fuzziness is… …   Wikipedia

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