Curve fitting, roots, partial fraction expansions

Polynomials are equations of a single variable with nonnegative
integer exponents. MATLAB^{®} represents polynomials with numeric
vectors containing the polynomial coefficients ordered by descending
power. For example, `[1 -4 4]`

corresponds to *x*^{2} -
4*x* + 4. For more information,
see Create and Evaluate Polynomials.

`poly` |
Polynomial with specified roots or characteristic polynomial |

`polyeig` |
Polynomial eigenvalue problem |

`polyfit` |
Polynomial curve fitting |

`residue` |
Partial fraction expansion (partial fraction decomposition) |

`roots` |
Polynomial roots |

`polyval` |
Polynomial evaluation |

`polyvalm` |
Matrix polynomial evaluation |

`conv` |
Convolution and polynomial multiplication |

`deconv` |
Deconvolution and polynomial division |

`polyint` |
Polynomial integration |

`polyder` |
Polynomial differentiation |

**Create and Evaluate Polynomials**

This example shows how to represent a polynomial as a vector in MATLAB® and evaluate the polynomial at points of interest.

Calculate polynomial roots numerically, graphically, or symbolically.

**Integrate and Differentiate Polynomials**

This example shows how to use the `polyint`

and `polyder`

functions to analytically integrate or differentiate any polynomial represented by a vector of coefficients.

This example shows how to fit a polynomial curve to a set of data using `polyfit`

.

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