Linear programming problems are optimization problems where the objective function and constraints are all linear. Mathematica has a collection of algorithms for solving ...

ArrayQ[expr] gives True if expr is a full array or a SparseArray object, and gives False otherwise. ArrayQ[expr, patt] requires expr to be a full array with a depth that ...

Constant is an attribute that indicates zero derivative of a symbol with respect to all parameters.

MatrixQ[expr] gives True if expr is a list of lists or a two-dimensional SparseArray object that can represent a matrix, and gives False otherwise. MatrixQ[expr, test] gives ...

NotebookPut[expr] creates a notebook corresponding to expr and makes it the currently selected notebook in the front end. NotebookPut[] creates a new empty ...

Show[graphics, options] shows graphics with the specified options added. Show[g_1, g_2, ...] shows several graphics combined.

Nearest is used to find elements in a list that are closest to a given data point. Nearest function. Nearest works with numeric lists, tensors, or a list of strings.

PositiveDefiniteMatrixQ[m] tests whether m is a positive definite matrix.

The Mathematica compiler generates a CompiledFunction expression that contains a sequence of simple instructions for evaluating a Mathematica computation. The compiled ...

TransferFunctionZeros[tf] gives a matrix of roots of the numerators in the TransferFunctionModel object tf.