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
Rasmus Kyng: A numerical analysis approach to convex optimization
In convex optimization, we can usually obtain O(1)-approximate solutions much faster than high accuracy (1 + 1/poly(n))-approximate solutions. One major exception is L2-regression, where low accuracy algorithms can be converted into high-accuracy ones via iterative refinement. I will prese
From playlist Workshop: Continuous approaches to discrete optimization
13_2 Optimization with Constraints
Here we use optimization with constraints put on a function whose minima or maxima we are seeking. This has practical value as can be seen by the examples used.
From playlist Advanced Calculus / Multivariable Calculus
13_1 An Introduction to Optimization in Multivariable Functions
Optimization in multivariable functions: the calculation of critical points and identifying them as local or global extrema (minima or maxima).
From playlist Advanced Calculus / Multivariable Calculus
This video explains what is taught in discrete mathematics.
From playlist Mathematical Statements (Discrete Math)
A very basic overview of optimization, why it's important, the role of modeling, and the basic anatomy of an optimization project.
From playlist Optimization
[Discrete Mathematics] Set Operations Examples #2
In this video we do some examples with set operations. For instance, given some operators, can we find the original sets? We also do a proof with subsets. LIKE AND SHARE THE VIDEO IF IT HELPED! Visit our website: http://bit.ly/1zBPlvm Subscribe on YouTube: http://bit.ly/1vWiRxW *--Playl
From playlist Discrete Math 1
Introduction to Discrete and Continuous Functions
This video defines and provides examples of discrete and continuous functions.
From playlist Introduction to Functions: Function Basics
SET OPERATIONS - DISCRETE MATHEMATICS
We look at set operations, including union, complement, intersection, and difference. We end with a simple practice problem. LIKE AND SHARE THE VIDEO IF IT HELPED! Support me on Patreon: http://bit.ly/2EUdAl3 Visit our website: http://bit.ly/1zBPlvm Subscribe on YouTube: http://bit.ly/1v
From playlist Discrete Math 1
Lecture 5 | MIT 6.832 Underactuated Robotics, Spring 2009
Lecture 5: Numerical optimal control (dynamic programming) Instructor: Russell Tedrake See the complete course at: http://ocw.mit.edu/6-832s09 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.832 Underactuated Robotics, Spring 2009
A geometric integration approach to non-smooth (...) - Schoenlieb/Riis - Workshop 1 - CEB T1 2019
Schoenlieb/Riis (University of Cambridge) / 04.02.2019 A geometric integration approach to non-smooth and non-convex optimisation The optimisation of nonsmooth, nonconvex functions without access to gradients is a particularly challenging problem that is frequently encountered, for exam
From playlist 2019 - T1 - The Mathematics of Imaging
Levon Nurbekyan: "Computational methods for mean-field games (Part 2/2)"
Watch part 1/2 here: https://youtu.be/Lkfrb8AoS18 High Dimensional Hamilton-Jacobi PDEs Tutorials 2020 "Computational methods for mean-field games (Part 2/2)" Levon Nurbekyan - University of California, Los Angeles Abstract: I will give an overview of computational methods for mean-fiel
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Seventh SIAM Activity Group on FME Virtual Talk
Speaker: Ruimeng Hu, Assistant Professor in the Department of Mathematics and the Department of Statistics and Applied Probability, University of California Santa Barbara Title: Deep fictitious play for stochastic differential games Speaker: Max Reppen, Assistant Professor, Questrom Scho
From playlist SIAM Activity Group on FME Virtual Talk Series
Lecture 8 | MIT 6.832 Underactuated Robotics, Spring 2009
Lecture 8: Dynamic programming (DP) and policy search Instructor: Russell Tedrake See the complete course at: http://ocw.mit.edu/6-832s09 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.832 Underactuated Robotics, Spring 2009
Discrete multigrid convergent estimators of curvature - Talbot - Workshop 1 - CEB T1 2019
Talbot (Centrale Paris) / 08.02.2019 Discrete multigrid convergent estimators of curvature Recent works have indicated the potential of using curvature as a regularizer in image segmentation, in particular for the class of thin and elongated objects. These are ubiquitous in bio-medical
From playlist 2019 - T1 - The Mathematics of Imaging
Statistical aspects of stochastic algorithms for entropic (...) - Bigot - Workshop 2 - CEB T1 2019
Jérémie Bigot (Univ. Bordeaux) / 12.03.2019 Statistical aspects of stochastic algorithms for entropic optimal transportation between probability measures. This talk is devoted to the stochastic approximation of entropically regularized Wasserstein distances between two probability measu
From playlist 2019 - T1 - The Mathematics of Imaging
Stefano Gualandi: "Discrete Optimal Transport by Parallel Network Simplex"
Deep Learning and Combinatorial Optimization 2021 "Discrete Optimal Transport by Parallel Network Simplex" Stefano Gualandi - Università di Pavia Abstract: We present recent results on the solution of problems related to the theory of Optimal Transport by using an efficient parallel impl
From playlist Deep Learning and Combinatorial Optimization 2021
[Discrete Mathematics] Surjective Functions Examples
In these video we look at onto functions and do a counting problem. 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=PLDDGPdw7e6Ag1EIz
From playlist Discrete Math 1
Philipp Grohs: Somes perspectives of computational harmonic analysis in numerics
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist 30 years of wavelets