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Numeric Solvers

Approximate solutions of equations and systems numerically

MuPAD Functions

numeric::butcherButcher parameters of Runge-Kutta schemes
numeric::cubicSplineInterpolation by cubic splines
numeric::cubicSpline2dInterpolation by 2-dimensional bi-cubic splines
numeric::fsolveSearch for a numerical root of a system of equations
numeric::leastSquaresLeast squares solution of linear equations
numeric::linsolveSolve a system of linear equations
numeric::matlinsolveSolve a linear matrix equation
numeric::odesolveNumerical solution of an ordinary differential equation
numeric::odesolve2Numerical solution of an ordinary differential equation
numeric::odesolveGeometricNumerical solution of an ordinary differential equation on a homogeneous manifold
numeric::ode2vectorfieldConvert an ode system to vectorfield notation
numeric::odeToVectorFieldConvert an ode system to vectorfield notation
numeric::solveNumerical 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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