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Numeric Solvers

Approximate solutions of equations and systems numerically

MuPAD Functions

numeric::butcher Butcher parameters of Runge-Kutta schemes
numeric::cubicSpline Interpolation by cubic splines
numeric::cubicSpline2d Interpolation by 2-dimensional bi-cubic splines
numeric::fsolve Search for a numerical root of a system of equations
numeric::leastSquares Least squares solution of linear equations
numeric::linsolve Solve a system of linear equations
numeric::matlinsolve Solve a linear matrix equation
numeric::odesolve Numerical solution of an ordinary differential equation
numeric::odesolve2 Numerical solution of an ordinary differential equation
numeric::odesolveGeometric Numerical solution of an ordinary differential equation on a homogeneous manifold
numeric::ode2vectorfield Convert an ode system to vectorfield notation
numeric::odeToVectorField Convert an ode system to vectorfield notation
numeric::solve Numerical solution of equations (the float attribute of solve)

Examples and How To

Choose a Solver

The general solvers (solve for symbolic solutions and numeric::solve for numeric approximations) handle a wide variety of equations, inequalities, and systems.

Solve Equations Numerically

There are two methods to get numeric approximations of the solutions:

Concepts

Numeric Algorithms Library

Use only in the MuPAD Notebook Interface.

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