Introduction To Spline Interpolation | Numerical Methods скачать в хорошем качестве

Introduction To Spline Interpolation | Numerical Methods

Let’s talk about what spline interpolation is in this Introduction To Spline Interpolation video. If you recall, in our past interpolation methods videos we constructed a polynomial from all discrete data points that were supplied to us and made a global polynomial interpolating function. By global we mean that we used our whole data set and not some section of it to develop the interpolating polynomial. Therefore, as I have previously mentioned, it doesn’t matter if we used Lagrange interpolation or divided difference interpolation, both methods will result in the same global interpolating polynomial as they take in and output the same result. Although great in some scenarios, sometimes using a global interpolating method is impractical or less efficient than simply taking a local interpolation. Why though? Well as we add more data points to a global interpolating polynomial, we need to increase the polynomial order, which in certain applications can give widely inaccurate answers This timeline is meant to help you better understand spline interpolation is in this Introduction To Spline Interpolation video: 0:00 Introduction. 0:12 Brief recap of interpolation purpose 0:32 Recap of Global Interpolation interpolation algorithms 1:11 Problems with global interpolation algorithms 1:57 Global vs local interpolation algorithms 2:23 Types of spline interpolation 3:40 Outro Relevant Numerical Methods Playlists: Numerical Methods Playlist:    • Numerical vs Analytical Methods | Numerica...   Numerical Methods Examples Playlist:    • Numerical Methods Examples   Follow & Support StudySession: Channel Memberships:    / @studysessionyt   Email Us: [email protected] Twitter:   / studysessionyt   Instagram:   / studysessionyt   This video is part of our Numerical Methods course. Numerical methods is about solving math problems through approximating the solution of problems that would be difficult or impossible to solve analytically. In this playlist we will cover topics such as solving systems of linear equations, solving systems of non-linear equations, numerical integration, numerical derivatives, etc.. #studysession #numericalmethods #numericalanalysis