Documentation

# Numeric Solvers

Approximate solutions of equations and systems numerically

### Note

MuPAD® notebooks will be removed in a future release. Use MATLAB® live scripts instead.

To convert a MuPAD notebook file to a MATLAB live script file, see `convertMuPADNotebook`. MATLAB live scripts support most MuPAD functionality, although there are some differences. For more information, see Convert MuPAD Notebooks to MATLAB Live Scripts.

 `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.

#### Mathematical Modeling with Symbolic Math Toolbox

Get examples and videos