Interpolation | Splines (mathematics)
In the mathematical subfields function theory and numerical analysis, a univariate polynomial spline of order is called a perfect spline if its -th derivative is equal to or between knots and changes its sign at every knot. The term was coined by Isaac Jacob Schoenberg. Perfect splines often give solutions to various in mathematics. For example, norms of periodic perfect splines (they are sometimes called ) are equal to Favard's constants. (Wikipedia).
Spline is an easy to use 3D design tool geared for any designer regardless of their 3D experience. It's simpler to learn than full featured 3D apps—such as Cinema 4D or Blender—because it doesn't bog you down with loads and loads of settings and features. Best of all, it is browser-based a
From playlist Web Animations
Programming & Using Splines - Part#1
Splines, in this case Catmull-Rom splines, offer a simple way to have curves in your applications. This video explores the programming to use spline paths and loops that go through all control points yielding an effective way to have more natural NPC AI behaviour. Github: https://github.c
From playlist Interesting Programming
Programming & Using Splines - Part#2
A direct follow on from Splines Part 1, in this video we look at how to move objects around a spline at a constant(ish) velocity. This approach is an approximation but it is good enough for games, and in particular, non-player character motion. It also shows the costs associated with usin
From playlist Interesting Programming
NonParametricModels.3.Splines2
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Non-Parametric Models: Splines
NonParametricModels.2.SplineDetails
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Non-Parametric Models: Splines
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.
From playlist Beginning Scientific Computing
SplinesTrees&LinearRegression.2.Intro2
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Applied Data Analysis and Statistical Inference
Signal Processing in One and More Dimensions
Markus van Almsick To learn more about the Wolfram Technologies, visit http://www.wolfram.com The European Wolfram Technology Conference featured both introductory and expert sessions on all major technologies and many applications made possible with Wolfram technology. Learn to achieve
From playlist European Wolfram Technology Conference 2015
Engineering CEE 20: Engineering Problem Solving. Lecture 21
UCI CIvil & Environmental Engineering 20 Engineering Problem Solving (Spring 2013) Lec 21. Engineering Problem Solving View the complete course: http://ocw.uci.edu/courses/cee_20_introduction_to_computational_engineering_problem_solving.html Instructor: Jasper Alexander Vrugt, Ph.D. Licen
From playlist Engineering CEE 20: Engineering Problem Solving
SplinesTrees&LinearRegression.3.Intro3
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Applied Data Analysis and Statistical Inference
Back to normal! In this video I examine a framework to experiment with different racing lines along a parametric track. Source: https://github.com/OneLoneCoder/Javidx9/blob/master/ConsoleGameEngine/SmallerProjects/OneLoneCoder_RacingLines.cpp https://discord.gg/WhwHUMV Blog: http://www.o
From playlist Interesting Programming
Statistical Rethinking Winter 2019 Lecture 04
Lecture 04 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. This lectures covers the material in Chapter 4 of the book, including polynomial regression and basis splines.
From playlist Statistical Rethinking Winter 2019
Skew Lines, Perpendicular & Parallel Lines & Planes, Intersecting Lines & Transversals
This geometry video tutorial provides a basic introduction into skew lines. It explains the difference between parallel lines, perpendicular lines, skew lines, intersecting lines, and transversals. Parallel lines are coplanar lines that do not intersect. Skew lines are noncoplanar lines
From playlist Geometry Video Playlist
How To Make Spaceship Interior using 3ds Max & Vray | Session 04 | #gamedev
Don’t forget to subscribe! In this project series, you will learn how to make a spaceship interior using 3ds Max & Vray. This tutorial will go through the process of creating a spaceship interior in 3ds Max and preparing the environment for render with VRay renderer. By using elemental
From playlist Make Spaceship Interior using 3ds Max & Vray
We do a deep dive into splines with patsy. This assumes some knowledge of splines to begin with, but we explore basis splines, natural splines and cyclic spline transformations with patsy. Links: https://patsy.readthedocs.io/en/latest/API-reference.html https://patsy.readthedocs.io/en/lat
From playlist Patsy - Linear Models for Python
DSI | Interpretability in deep learning models for atomic-scale simulations
Interpretability in deep learning models for atomic-scale simulations In the field of computational materials science, model interpretability has historically been enforced through the use of strictly defined functional forms based on assumptions regarding the underlying physics governing
From playlist DSI Virtual Seminar Series