Gerlind Plonka - Reconstruction of non-stationary signals by the generalized Prony method
This talk was part of the workshop “MAIA 2019: Multivariate Approximation and Interpolation with Applications” held at the ESI August 26 – 30, 2019. In this talk ...
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)
Interpolation - Basics, why polynomial interpolation
This video just tries to explain what is polynomial interpolation.
The Math Guy
Thomas Hughes: “Isogeometric Analysis”
2019 Purdue Engineering Distinguished Lecture Series presenter Thomas J.R. Hughes, the Peter O'Donnell Jr. Chair in Computational and Applied ...
Purdue Engineering
Python Integration, Interpolation, and Curve Fitting
iPython Notebook, using numpy and scipy interpolation, integration, and curve fitting functions.
ignite.byu.edu
2-Applications-04- Interpolating Polynomials and Regression
Ben Woodruff
Interpolation - Approximating functions using Lagrange Interpolation
This video looks at how we can use Lagrange interpolation to approximate functions like we use Taylor's polynomials. The xample used in this video is taken ...
The Math Guy
ICTP-SISSA Colloquium: "What is Machine Learning, And What We Don't Understand About It"
Speaker: Prof. Andrea Montanari (Stanford University, USA) Abstract: The last fifteen years have witnessed dramatic breakthroughs in machine learning.
Int'l Centre for Theoretical Physics
John von Neumann Prize Lecture: Rational Functions
The past five years have seen dramatic advances in bringing rational approximation theory to bear on fundamental problems of numerical computation.
Society for Industrial and Applied Mathematics
Interpolation - Cubic Splines - Basics
This video introduces the idea of splines and specifically looks into the basics of cubic splines.
The Math Guy
Approximation of Function by Chebyshev Polynomials (3 of 3) in Urdu|Hindi
Online Lecture: 13-4-2020 Recording 2 Computational Physics Numerical Methods Chebyshev Series View the course: ...
Physics World
Ch02n1: Barycentric forms of Lagrange polynomials
Barycentric forms of Lagrange polynomials. Numerical Computation, Chapter 2, additional video no 1. To be viewed after video ch2.2. Wen Shen, Penn State, ...
wenshenpsu
Cayley path and quantum computational supremacy*
Presenter: Ramis Movassagh, Research Staff Member, Quantum Theory and Algorithms, IBM Research A one-parameter unitary-valued interpolation between ...
IBM Research
Interpolation, Approximation and Extrapolation: Lecture 2 (part 2 of 2)
More detailed look at approximation and extrapolation Interpolation in 2-D, bilinear interpolation. Viewing interpolation as convolution Viewing approximation as ...
Paul Aljabar
Cubic Splines
Function approximation using Cubic Splines and Natural Cubic Splines including discussion about figuring out if two sets of equations are splines. Important ...
Oscar Veliz
Approximation Theory Part 1
Lecture with Ole Christensen. Kapitler: 00:00 - Intro To Approximation Theory; 10:00 - Remarks On Vectorspaces In Mat4; 13:30 - Def.: Dense Subset; 19:15 ...
DTUdk
JuliaCon 2019 | Keynote: Professor Steven G. Johnson
Steven G. Johnson is a Professor of Applied Mathematics and Physics at MIT, where he joined the faculty in 2004 and previously received a PhD in physics ...
The Julia Programming Language
Jordan ELLENBERG - Heights on Stacks
When I was Barry's student, one thing I learned from him was that Diophantine problems were often not problems about rational points on varieties, but about ...
Institut des Hautes Études Scientifiques (IHÉS)
An Approximate Differentiable Renderer
Although computer vision can be posed as an inverse rendering problem, most renderers are not tailored to this task. Our framework makes it simple to express ...
Microsoft Research
New Directions in the Application of Model Order Reduction
Prof. Danny Sorensen Rice University October 6, 2008 -_-_-_-_-_-_-_-_-_-_-_- Samuel D. Conte Distinguished Lecture Series in Computer Science Sponsored ...
Purdue University
Motivation for Triangulation-based Scattered Data Approximation
Lecture 9: This lecture covers motivation for triangulation-based scattered data approximation, barycentric coordinates and bernstein-bezier curves and patches.
UC Davis
Applications of rational spherical trigonometry II | Universal Hyperbolic Geometry 44
We look at a famous motivating problem from spherical trigonometry: how to figure out the separation between two points on the sphere with given latitude and ...
Insights into Mathematics
Panel - Can Quantum Theory Consistently Describe Itself?
Moderated by David Wallace; Scott Aaronson, Lidia del Rio, Raphael Bousso and Matt Leifer in the panel "Can Quantum Theory Consistently Describe Itself?
FQXi
Sparse Polynomial Interpolation: Compressed Sensing, Super-resolution, or Prony?
Jean-Bernard Lasserre, CNRS https://simons.berkeley.edu/talks/jean-bernard-lasserre-11-6-17 Hierarchies, Extended Formulations and Matrix-Analytic ...
Simons Institute
The Hardest Halfspace
Alexander Sherstov (UCLA) https://simons.berkeley.edu/talks/hardest-halfspace Interactive Complexity.
Simons Institute
PreCalculus 3: Graphing Polynomial & Rational Fcts (16 of 29) N-th Order Polynomials - General Rules
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain the general rules to the shape of the graph and the number of roots to ...
Michel van Biezen
Kelly Bickel: Singular rational inner functions on the polydisk
This talk will discuss how to study singular rational inner functions (RIFs) using their zero set behaviors. In the two-variable setting, zero sets can be used to ...
Centre International de Rencontres Mathématiques
Linear algebra with polynomials | Wild Linear Algebra A 19 | NJ Wildberger
Spaces of polynomials provide important applications of linear algebra. Here we introduce polynomials and the associated polynomial functions (we prefer to ...
Insights into Mathematics
Direct Method of Interpolation: Linear Interpolation
Learn the direct method of linear polynomial interpolation. For more videos and resources on this topic, please visit ...
numericalmethodsguy
Vahid Moosavi - 'Machine learning literacy for designers & engineers'
Dr Vahid Moosavi (Senior Researcher, CAAD, ETH) Machine learning literacy for designers and engineers Machine learning and data together offer a universal ...
The Alan Turing Institute
The Rational Function
For Math III Basic Rational Function rule Asymptotes - x and y axis only Graphing Modelling/Approximating the Rational function rule based on scatter plots.
Ruffini Math Lessons
RI Seminar: Anca Dragan : Optimizing for coordination with people
https://www.ri.cmu.edu/event/ri-seminar-anca-dragan-university-of-california-berkeley-assistant-professor-2020-02-28/ Anca Dragan Assistant Professor EECS ...
cmurobotics
Spline Interpolation: Linear Spline: Example
Learn linear spline interpolation via example. For more videos and resources on this topic, please visit http://nm.mathforcollege.com/topics/spline_method.html.
numericalmethodsguy
Round off Error: Sources of Error
One of sources of error in numerical methods is round off error - error caused by approximating numbers. For more videos and resources on this topic, please ...
numericalmethodsguy
Lecture 15: Interpolation (part II)
CS 205A: Mathematical Methods for Robotics, Vision, and Graphics.
Justin Solomon
A variational approach to the regularity theory for the Monge-Ampère equation -Felix Otto
Analysis Seminar Topic: A variational approach to the regularity theory for the Monge-Ampère equation Speaker: Felix Otto Affiliation: Max Planck Institute ...
Institute for Advanced Study
8-7 and 8-7: Rational Root Theorem and Linear Interpolation
Ms. Pitre's Videos
Mod-01 Lec-23 Discretization of ODE-BVP using Least Square Approximation and Gelarkin Method
Advanced Numerical Analysis by Prof. Sachin C. Patwardhan,Department of Chemical Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in.
nptelhrd
Step for Sampling Rate Conversion Method - Discrete Time Signal Processing
Video Lecture on Step for Sampling Rate Conversion Method in Multi Rate Signal Proccessing from Multirate Signal Processing chapter of Discrete Time ...
Ekeeda
cubic function from 4 points.WMV
finding a cubic function from 4 given points by using matrices.
DiMDMath
Professor Nick Trefethen, University of Oxford, Linear Algebra Optimization
Speaker: Nick Trefethen, Oxford Bio: Nick Trefethen is Professor of Numerical Analysis and Head of the Numerical Analysis Group in the Oxford University ...
ICMEStudio
Lesson 8 14A Power Series as Rational Functions
Jared Phelps
Understanding Deep Neural Networks: From Generalization to Interpretability - Gitta Kutyniok
Seminar on Theoretical Machine Learning Topic: Understanding Deep Neural Networks: From Generalization to Interpretability Speaker: Gitta Kutyniok ...
Institute for Advanced Study
