Lecture: Polynomial Fits and Splines
Polynomial fitting of the data, via Lagrange polynomials, can also be considered as the fit curves go through all data points. Spline technology is developed to circumvent polynomial wiggle.
Видео Lecture: Polynomial Fits and Splines канала AMATH 301
Видео Lecture: Polynomial Fits and Splines канала AMATH 301
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Lecture: Data Fitting with Matlab
Lecture: Least-Squares Fitting Methods
Interpolation - Cubic Splines - Basics
Lecture: The Singular Value Decomposition (SVD)
Spline Regression | Non Linear Model | Polynomial Regression
Lecture: Unconstrained Optimization (Derivative-Free Methods)
More bases of polynomial spaces | Wild Linear Algebra A 21 | NJ Wildberger
Lagrange Interpolating Polynomials
StatQuest: Fiitting a curve to data, aka lowess, aka loess
Data Fitting: Polynomial Fitting and Splines, Part 2
Data Fitting: Polynomial Fitting and Splines, Part 1
Lecture: Principal Componenet Analysis (PCA)
Lecture: Numerical Differentiation Methods
Lecture: Eigenvalues and Eigenvectors
Chapter 13: Polynomial Curve Fitting in MATLAB
Statistics 101: Linear Regression, The Very Basics 📈
Lecture: Iteration Methods for Ax-b
Interpolation - Cubic Splines - example
Introduction to Splines
Polynomial Regression and Splines