Lec 18 | MIT RES.6-008 Digital Signal Processing, 1975
Lecture 18: Computation of the discrete Fourier transform, part 1 Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES.6-008 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT RES.6-008 Digital Signal Processing, 1975
[Discrete Mathematics] Euclidean Algorithm and GCDs Examples
We do a question on the Euclidean Algorithm and then tackle a proof about GCDs. LIKE AND SHARE THE VIDEO IF IT HELPED! Visit our website: http://bit.ly/1zBPlvm Subscribe on YouTube: http://bit.ly/1vWiRxW *--Playlists--* Discrete Mathematics 1: https://www.youtube.com/playlist?list=PLDDG
From playlist Discrete Math 1
Computational Physics Lecture 19, Discrete Fourier Transform and Fast Fourier Transform
In this lecture, we discuss the transition from the continuous Fourier transform to discrete Fourier transform. We also describe the Sande-Tukey algorithm for fast Fourier transform. This video was created to accompany the course "Computational Physics (PHYS 270)" taught in the spring of
From playlist Nazarbayev: PHYS 270 - Computational Physics with Ernazar Ab
The mother of all representer theorems for inverse problems & machine learning - Michael Unser
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Discrete multi-fidelity optimization
This video is #9 in the Adaptive Experimentation series presented at the 18th IEEE Conference on eScience in Salt Lake City, UT (October 10-14, 2022). In this video, Sterling Baird @sterling-baird presents on discrete multi-fidelity optimization. In discrete multi-fidelity optimization, t
From playlist Optimization tutorial
Chebfun is a Matlab-based open-source software project for "numerical computing with functions" based on algorithms related to Chebyshev polynomials. At the 2013 SIAM Annual Meeting, SIAM Past President Nick Trefethen spoke about his activities related to developing Chebfun.
From playlist Complete lectures and talks: slides and audio
Saket Saurabh: Parametrized Algorithms and possible future directions
In this talk, we will give a short overview of current research directions pursued in Parameterized Complexity and then outline a few potential research directions for further investigations.
From playlist Workshop: Parametrized complexity and discrete optimization
From playlist Contributed talks One World Symposium 2020
THREE EXERCISES IN SETS AND SUBSETS - DISCRETE MATHEMATICS
We do some T/F questions about sets and subsets. LIKE AND SHARE THE VIDEO IF IT HELPED! Visit our website: http://bit.ly/1zBPlvm Subscribe on YouTube: http://bit.ly/1vWiRxW *--Playlists--* Discrete Mathematics 1: https://www.youtube.com/playlist?list=PLDDGPdw7e6Ag1EIznZ-m-qXu4XX3A0cIz D
From playlist Discrete Math 1
From playlist Plenary talks One World Symposium 2020
Abel Prize award ceremony 2021
The ceremony honours both the 2020-winners, Hillel Furstenberg and Gregory Margulis, and the 2021-winners, Avi Wigderson and László́ Lovász. 0:30 Haddy N'jie sings Feeling Good 3:18 Welcome by Master of ceremonies, Haddy N'jie 4:46 On the nomination process and the work of the Abel Prize
From playlist Gregory Margulis
From playlist Contributed talks One World Symposium 2020
EUCLIDEAN ALGORITHM - DISCRETE MATHEMATICS
Visit our website: http://bit.ly/1zBPlvm Subscribe on YouTube: http://bit.ly/1vWiRxW *--Playlists--* Discrete Mathematics 1: https://www.youtube.com/playlist?list=PLDDGPdw7e6Ag1EIznZ-m-qXu4XX3A0cIz Discrete Mathematics 2: https://www.youtube.com/playlist?list=PLDDGPdw7e6Aj0amDsYInT_8p6xTS
From playlist Discrete Math 1
SketchySVD - Joel Tropp, California Institute of Technology
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Yale Digital Medicine Symposium 2019, Artificial Intelligence and Digital Medicine
Digital Medicine attracted over $8 Billion in venture capital in 2018 with promises of “driving down costs and empowering consumers to take charge of their health”. The Yale Digital Medicine Symposium explores the current state and future potential of digital health. Speakers included entr
From playlist Yale Digital Medicine Symposium 2019
Fourteenth SIAM Activity Group on FME Virtual Talk
Speakers: Damir Filipovic, EPFL and Swiss Finance Institute Title: A Machine Learning Approach to Portfolio Pricing and Risk Management for High-Dimensional Problems Moderator: Rene Carmona, Princeton University
From playlist SIAM Activity Group on FME Virtual Talk Series
Intro to Discrete Math - Welcome to the Course!
Welcome to Discrete Math. This is the start of a playlist which covers a typical one semester class on discrete math. I chat a little about why I love discrete math, what you should expect, and how an online discrete math course is structured. FULL PLAYLIST: https://www.youtube.com/watch
From playlist Discrete Math (Full Course: Sets, Logic, Proofs, Probability, Graph Theory, etc)
From playlist Contributed talks One World Symposium 2020