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# 数値ソルバー

### メモ

MuPAD® Notebook は将来のリリースでは削除される予定です。代わりに MATLAB® ライブ スクリプトを使用してください。

MuPAD Notebook ファイルを MATLAB ライブ スクリプト ファイルに変換するには、`convertMuPADNotebook` を参照してください。MATLAB ライブ スクリプトは、多少の違いはありますが、MuPAD 機能の大半をサポートします。詳細は、MuPAD Notebook を MATLAB ライブ スクリプトに変換を参照してください。

 `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)

## 例および操作のヒント

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. When you use the general solver, MuPAD identifies the equation or the system as one of the types listed in the table that follows. Then the system calls the appropriate solver for that type. If you know the type of the equation or system you want to solve, directly calling the special solver is more efficient. When you call special solvers, MuPAD skips trying other solvers. Direct calls to the special solvers can help you to:

Solve Equations Numerically

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

## 概念

Numeric Algorithms Library

Use only in the MuPAD Notebook Interface. This functionality does not run in MATLAB.

#### Mathematical Modeling with Symbolic Math Toolbox

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