GUIKit Example: GraphEditor (GUIKit Package Tutorial)

This example demonstrates the benefit of supplementing Mathematica functionality with GUIKit user interface elements leveraging existing third-party graph model and editing ...

Position (Built-in Mathematica Symbol)

Position[expr, pattern] gives a list of the positions at which objects matching pattern appear in expr. Position[expr, pattern, levelspec] finds only objects that appear on ...

Sparse Arrays: Manipulating Lists (Mathematica Tutorial)

Lists are normally specified in Mathematica just by giving explicit lists of their elements. But particularly in working with large arrays, it is often useful instead to be ...

JordanDecomposition (Built-in Mathematica Symbol)

JordanDecomposition[m] yields the Jordan decomposition of a square matrix m. The result is a list {s, j} where s is a similarity matrix and j is the Jordan canonical form of ...

Normalize (Built-in Mathematica Symbol)

Normalize[v] gives the normalized form of a vector v. Normalize[z] gives the normalized form of a complex number z.Normalize[expr, f] normalizes with respect to the norm ...

HessenbergDecomposition (Built-in Mathematica Symbol)

HessenbergDecomposition[m] gives the Hessenberg decomposition of a matrix m.

Image (Built-in Mathematica Symbol)

Image[data] represents a raster image with pixel values given by the array data.Image[graphics] creates a raster image from a graphics object. Image[obj, options] gives an ...

QRDecomposition (Built-in Mathematica Symbol)

QRDecomposition[m] yields the QR decomposition for a numerical matrix m. The result is a list {q, r}, where q is an orthogonal matrix and r is an upper-triangular matrix.

Transpose (Built-in Mathematica Symbol)

Transpose[list] transposes the first two levels in list. Transpose[list, {n_1, n_2, ...}] transposes list so that the k\[Null]^th level in list is the n_k\[Null]^th level in ...

Specifying Derivatives (Mathematica Tutorial)

The function FindRoot has a Jacobian option; the functions FindMinimum, FindMaximum, and FindFit have a Gradient option; and the "Newton" method has a method option Hessian. ...