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
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
Statistical Learning: 7.3 Smoothing Splines
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Blender Smoothed Particle Hydrodynamics (SPH) Problematic Deflections
Demonstration of a bug in Blender's particle system in combination with SPH-Fluids. http://www.kostackstudio.de
From playlist Random Blender Tests
How to Perform Curve Fitting Using the Curve Fitting App in MATLAB
Learn how to perform curve fitting in MATLAB® using the Curve Fitting app, and fit noisy data using smoothing spline. This video shows you how to use the Curve Fitting app to interactively try a variety of fitting algorithms, assess the fit numerically, and generate code from the app. See
From playlist “How To” with MATLAB and Simulink
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
Statistical Learning: 7.R.2 Splines and GAMs
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Lec 21 | MIT 18.085 Computational Science and Engineering I, Fall 2008
Lecture 21: Boundary conditions, splines, gradient and divergence (part 1) License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.085 Computational Science & Engineering I, Fall 2008
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
Statistical Learning: 7.2 Piecewise Polynomials and Splines
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Nithin Govindarajan: "Spline-based separable expansions for approximation, regression & classifi..."
Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop I: Tensor Methods and their Applications in the Physical and Data Sciences "Spline-based separable expansions for approximation, regression and classification" Nithin Govindarajan - KU Leuven, ESAT ST
From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021
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
Statistical Learning: 7.4 Generalized Additive Models and Local Regression
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning