When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    Variables are defined using the assignment operator, =. MATLAB is a weakly typed programming language because types are implicitly converted. [39] It is an inferred typed language because variables can be assigned without declaring their type, except if they are to be treated as symbolic objects, [40] and that their type can change.

  3. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    Visualization of heteroscedasticity in a scatter plot against 100 random fitted values using Matlab Constant variance (a.k.a. homoscedasticity). This means that the variance of the errors does not depend on the values of the predictor variables.

  4. List of analyses of categorical data - Wikipedia

    en.wikipedia.org/wiki/List_of_analyses_of...

    This is a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables.

  5. Comparison of programming languages (array) - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_programming...

    The following list contains syntax examples of how a range of element of an array can be accessed. In the following table: first – the index of the first element in the slice; last – the index of the last element in the slice; end – one more than the index of last element in the slice; len – the length of the slice (= end - first)

  6. Truncated normal distribution - Wikipedia

    en.wikipedia.org/wiki/Truncated_normal_distribution

    Regardless of whether the random variable is bounded above, below, or both, the truncation is a mean-preserving contraction combined with a mean-changing rigid shift, and hence the variance of the truncated distribution is less than the variance of the original normal distribution.

  7. Multivariate normal distribution - Wikipedia

    en.wikipedia.org/wiki/Multivariate_normal...

    To obtain the marginal distribution over a subset of multivariate normal random variables, one only needs to drop the irrelevant variables (the variables that one wants to marginalize out) from the mean vector and the covariance matrix. The proof for this follows from the definitions of multivariate normal distributions and linear algebra.

  8. List of optimization software - Wikipedia

    en.wikipedia.org/wiki/List_of_optimization_software

    CPLEX – solver for linear and quadratic programming with continuous or integer variables (MIP). FEATool Multiphysics – FEA GUI Toolbox for MATLAB. FICO Xpress – solver for linear and quadratic programming with continuous or integer variables (MIP). FortMP – linear and quadratic programming. FortSP – stochastic programming.

  9. Linear programming - Wikipedia

    en.wikipedia.org/wiki/Linear_programming

    API to MATLAB and Python. Solve example Linear Programming (LP) problems through MATLAB, Python, or a web-interface. CPLEX: Popular solver with an API for several programming languages, and also has a modelling language and works with AIMMS, AMPL, GAMS, MPL, OpenOpt, OPL Development Studio, and TOMLAB. Free for academic use. Excel Solver Function