Polinomi

Adattamento della curva, radici, espansioni di frazioni parziali

I polinomi sono equazioni di una sola variabile con esponenti interi non negativi. MATLAB^® rappresenta i polinomi con vettori numerici contenenti i coefficienti polinomiali ordinati per potenza decrescente. Ad esempio, [1 -4 4] corrisponde a x² - 4x + 4. Per maggiori informazioni, vedere Create and Evaluate Polynomials.

Funzioni

`poly`	Polynomial with specified roots or characteristic polynomial
`polydiv`	Polynomial long division (Da R2024a)
`polyeig`	Polynomial eigenvalue problem
`polyfit`	Adattamento della curva polinomiale
`residue`	Partial fraction expansion (partial fraction decomposition)
`roots`	Radici polinomiali
`polyval`	Valutazione polinomiale
`polyvalm`	Matrix polynomial evaluation
`conv`	Convoluzione e moltiplicazione polinomiale
`deconv`	Least-squares deconvolution and polynomial division
`polyint`	Polynomial integration
`polyder`	Polynomial differentiation

Argomenti

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.
Roots of Polynomials
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.
Polynomial Curve Fitting
This example shows how to fit a polynomial curve to a set of data points using the polyfit function.
Programmatic Fitting
There are many functions in MATLAB that are useful for data fitting.

Esempi in primo piano

Predicting the US Population

Extrapolating data using polynomials of even modest degree is risky and unreliable.

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