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  2. Positive linear operator - Wikipedia

    en.wikipedia.org/wiki/Positive_linear_operator

    A linear function on a preordered vector space is called positive if it satisfies either of the following equivalent conditions: . implies (); if then () (). [1]; The set of all positive linear forms on a vector space with positive cone , called the dual cone and denoted by , is a cone equal to the polar of .

  3. Positive linear functional - Wikipedia

    en.wikipedia.org/wiki/Positive_linear_functional

    If contains an interior point of then every continuous positive linear form on has an extension to a continuous positive linear form on . Corollary : [ 1 ] Let X {\displaystyle X} be an ordered vector space with positive cone C , {\displaystyle C,} let M {\displaystyle M} be a vector subspace of E , {\displaystyle E,} and let f {\displaystyle f ...

  4. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    A model with exactly one explanatory variable is a simple linear regression; a model with two or more explanatory variables is a multiple linear regression. [1] This term is distinct from multivariate linear regression , which predicts multiple correlated dependent variables rather than a single dependent variable.

  5. Ordinary least squares - Wikipedia

    en.wikipedia.org/wiki/Ordinary_least_squares

    In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one [clarification needed] effects of a linear function of a set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values ...

  6. Outlier - Wikipedia

    en.wikipedia.org/wiki/Outlier

    The modified Thompson Tau test is used to find one outlier at a time (largest value of δ is removed if it is an outlier). Meaning, if a data point is found to be an outlier, it is removed from the data set and the test is applied again with a new average and rejection region. This process is continued until no outliers remain in a data set.

  7. Equations of motion - Wikipedia

    en.wikipedia.org/wiki/Equations_of_motion

    Galileo deduced the equation s = ⁠ 1 / 2 ⁠ gt 2 in his work geometrically, [4] using the Merton rule, now known as a special case of one of the equations of kinematics. Galileo was the first to show that the path of a projectile is a parabola. Galileo had an understanding of centrifugal force and gave a correct definition of momentum. This ...

  8. Linearity - Wikipedia

    en.wikipedia.org/wiki/Linearity

    In physics, linearity is a property of the differential equations governing many systems; for instance, the Maxwell equations or the diffusion equation. [ 3 ] Linearity of a homogenous differential equation means that if two functions f and g are solutions of the equation, then any linear combination af + bg is, too.

  9. Linearization - Wikipedia

    en.wikipedia.org/wiki/Linearization

    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 differential equations or discrete dynamical systems . [ 1 ]