SingularValueDecomposition (Built-in Mathematica Symbol)

SingularValueDecomposition[m] gives the singular value decomposition for a numerical matrix m as a list of matrices {u, w, v}, where w is a diagonal matrix and m can be ...

SplitBy (Built-in Mathematica Symbol)

SplitBy[list, f] splits list into sublists consisting of runs of successive elements that give the same value when f is applied.SplitBy[list, {f_1, f_2, ...}] recursively ...

SystemsModelOrder (Built-in Mathematica Symbol)

SystemsModelOrder[ss] gives the order of the StateSpaceModel object ss.

Making Power Series Expansions (Mathematica Tutorial)

Functions for creating power series. Here is the power series expansion for exp(x) about the point x0 to order x^4. Here is the series expansion of exp(x) about the point ...

ZTest (Built-in Mathematica Symbol)

ZTest[data] tests whether the mean of the data is zero. ZTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.ZTest[dspec, \[Sigma]] tests for zero ...

PrecisionGoal (Built-in Mathematica Symbol)

PrecisionGoal is an option for various numerical operations which specifies how many effective digits of precision should be sought in the final result.

PolynomialGCD (Built-in Mathematica Symbol)

PolynomialGCD[poly_1, poly_2, ...] gives the greatest common divisor of the polynomials poly_i. PolynomialGCD[poly_1, poly_2, ..., Modulus -> p] evaluates the GCD modulo the ...

Put Data in a Grid with the Front End (Mathematica How To)

While you can programmatically create two-dimensional layouts, the Mathematica front end provides convenient tools for creating and editing two-dimensional grids of data, in ...

Nand (Built-in Mathematica Symbol)

Nand[e_1, e_2, ...] is the logical NAND function. It evaluates its arguments in order, giving True immediately if any of them are False, and False if they are all True.

Minimize (Built-in Mathematica Symbol)

Minimize[f, x] minimizes f with respect to x.Minimize[f, {x, y, ...}] minimizes f with respect to x, y, .... Minimize[{f, cons}, {x, y, ...}] minimizes f subject to the ...