Mathematics and Algorithms How to Topics (Mathematica Overview)

Do Basic Calculations Do Constrained Nonlinear Optimization Control the Precision and Accuracy of Numerical Results

NRoots (Built-in Mathematica Symbol)

NRoots[lhs == rhs, var] yields a disjunction of equations which represent numerical approximations to the roots of a polynomial equation.

Mathematics and Algorithms (Mathematica Overview)

"How to" Topics Numbers Algebraic Calculations

ComplexityFunction (Built-in Mathematica Symbol)

ComplexityFunction is an option for Simplify and other functions which gives a function to rank the complexity of different forms of an expression.

NotebookRead (Built-in Mathematica Symbol)

NotebookRead[notebook] gives the expression corresponding to the current selection in the specified notebook object.

Resampling (Built-in Mathematica Symbol)

Resampling is an option that specifies the method to be used for resampling images.

Do Algebraic Calculations (Mathematica How To)

These "How tos" give step-by-step instructions for common tasks related to algebraic computation in Mathematica .

Advanced Topics in Algebra (Mathematica Overview)

Complex Polynomial Systems Real Polynomial Systems Diophantine Polynomial Systems

Integer Functions (Mathematica Guide)

Mathematica contains hundreds of original algorithms for computing integer functions involving integers of any size.

Numerical Data (Mathematica Guide)

Huge numerical datasets are routine for Mathematica. Its powerful array primitives make large-scale array manipulation both easy to specify and highly efficient. And its ...