• अंतर्वेशी बहुपद | |

interpolating: प्रक्षेपण बैठाना | |

polynomial: बहुपदीय बहुपद | |

# interpolating polynomial मीनिंग इन हिंदी

interpolating polynomial उदाहरण वाक्य

### उदाहरण वाक्य

अधिक: आगे- The higher the degree of the
*interpolating polynomial*, the faster the convergence. - The
*interpolating polynomial*should approximate the given function. - Calculating the
*interpolating polynomial*is computationally expensive ( see computational complexity ) compared to linear interpolation. - Choosing the points of intersection as interpolation nodes we obtain the
*interpolating polynomial*coinciding with the best approximation polynomial. - Additionally, the
*interpolating polynomial*is unique, as shown by the unisolvence theorem at the polynomial interpolation article. - For more information on formulation of trigonometric
*interpolating polynomials*in the complex plane see, p135 Interpolation using Fourier Polynomials. - It does not require an
*interpolating polynomial*but instead one has to evaluate the derivative f'in each iteration. - Neville's algorithm is based on the Newton form of the
*interpolating polynomial*and the recursion relation for the divided differences. - With the Newton form of the
*interpolating polynomial*a compact and effective algorithm exists for combining the terms to find the coefficients of the polynomial. - This is indicative of how large degree
*interpolating polynomial*Newton Cotes methods fail to converge for many integrals, while Romberg integration is more stable.