TimeValue[s, i, t] calculates the time value of a security s at time t for an interest specified by i.

KernelMixtureDistribution[{x_1, x_2, ...}] represents a kernel mixture distribution based on the data values x_i.KernelMixtureDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...

AstronomicalData["name", " property"] gives the value of the specified property of the astronomical object with the specified name.AstronomicalData["name", {"property", ...

TTest[data] tests whether the mean of data is zero. TTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.TTest[dspec, \[Mu]_0] tests the mean ...

Numerical algorithms for constrained nonlinear optimization can be broadly categorized into gradient-based methods and direct search methods. Gradient search methods use ...

When numerically solving Hamiltonian dynamical systems it is advantageous if the numerical method yields a symplectic map. If the Hamiltonian can be written in separable ...

CCodeGenerate[cfun, name, opts] generates C code from the compiled function cfun using the name as the exported function name, and saves in the file ...

Parallel computing in Mathematica is based on launching and controlling multiple Mathematica kernel (worker) processes from within a single master Mathematica, providing a ...

It is perhaps easiest to see when to use certain layout elements by visually illustrating how they each combine to create a resizable dialog. Here are a number of further ...

ANOVA[data] performs a one-way analysis of variance.ANOVA[data, model, vars] performs an analysis of variance for model as a function of the categorical variables vars.