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  2. Linear function - Wikipedia

    en.wikipedia.org/wiki/Linear_function

    In mathematics, the term linear function refers to two distinct but related notions: [1] In calculus and related areas, a linear function is a function whose graph is a straight line, that is, a polynomial function of degree zero or one. [2] For distinguishing such a linear function from the other concept, the term affine function is often used.

  3. Nonlinear system - Wikipedia

    en.wikipedia.org/wiki/Nonlinear_system

    Nonlinear dynamics. Game theory. v. t. e. In mathematics and science, a nonlinear system (or a non-linear system) is a system in which the change of the output is not proportional to the change of the input. [1][2] Nonlinear problems are of interest to engineers, biologists, [3][4][5] physicists, [6][7] mathematicians, and many other scientists ...

  4. Nonlinear regression - Wikipedia

    en.wikipedia.org/wiki/Nonlinear_regression

    See Michaelis–Menten kinetics for details. In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. The data are fitted by a method of successive approximations (iterations).

  5. Linearization - Wikipedia

    en.wikipedia.org/wiki/Linearization

    In mathematics, linearization is finding the linear approximation to a function at a given point. The linear approximation of a function is the first order Taylor expansion around the point of interest. In the study of dynamical systems, linearization is a method for assessing the local stability of an equilibrium point of a system of nonlinear ...

  6. Non-linear least squares - Wikipedia

    en.wikipedia.org/wiki/Non-linear_least_squares

    v. t. e. Non-linear least squares is the form of least squares analysis 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 nonlinear regression. The basis of the method is to approximate the model by a linear one and to refine the parameters by successive iterations.

  7. Activation function - Wikipedia

    en.wikipedia.org/wiki/Activation_function

    Logistic activation function. The activation function of a node in an artificial neural network is a function that calculates the output of the node based on its individual inputs and their weights. Nontrivial problems can be solved using only a few nodes if the activation function is nonlinear. [1]

  8. Nonlinear programming - Wikipedia

    en.wikipedia.org/wiki/Nonlinear_programming

    Nonlinear programming. In mathematics, nonlinear programming (NLP) is the process of solving an optimization problem where some of the constraints are not linear equalities or the objective function is not a linear function. An optimization problem is one of calculation of the extrema (maxima, minima or stationary points) of an objective ...

  9. Linear map - Wikipedia

    en.wikipedia.org/wiki/Linear_map

    Linear map. In mathematics, and more specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function) is a mapping between two vector spaces that preserves the operations of vector addition and scalar multiplication.