Continuous multi-fidelity optimization
This video is #8 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 continuous multifidelity optimization. Continuous multi-fidelity optimization is
From playlist Optimization tutorial
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
Continuous Genetic Algorithm - Part 1
This video is about Continuous Genetic Algorithm - Part 1
From playlist Optimization
11_3_6 Continuity and Differentiablility
Prerequisites for continuity. What criteria need to be fulfilled to call a multivariable function continuous.
From playlist Advanced Calculus / Multivariable Calculus
What in the world is a linear program?
What is a linear program and why do we care? Today I’m going to introduce you to the exciting world of optimization, which is the mathematical field of maximizing or minimizing an objective function subject to constraints. The most fundamental topic in optimization is linear programming,
From playlist Summer of Math Exposition 2 videos
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
11_3_5 When is a multivariable function continuous
Determining where is multivariable function is continuous.
From playlist Advanced Calculus / Multivariable Calculus
Proof that every Differentiable Function is Continuous
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys A proof that every differentiable function is continuous.
From playlist Calculus
Pre-Calculus - Where is a function continuous
This video covers how you can tell if a function is continuous or not using an informal definition for continuity. Later in the video, we look at a function that is not continuous for all values, but is continuous for certain intervals. For more videos visit http://www.mysecretmathtutor.
From playlist Pre-Calculus
Xiaolu Tan: On the martingale optimal transport duality in the Skorokhod space
We study a martingale optimal transport problem in the Skorokhod space of cadlag paths, under finitely or infinitely many marginals constraint. To establish a general duality result, we utilize a Wasserstein type topology on the space of measures on the real value space, and the S-topology
From playlist HIM Lectures 2015
Alberto Del Pia: Proximity in concave integer quadratic programming
A classic result by Cook, Gerards, Schrijver, and Tardos provides an upper bound of n∆ on the proximity of optimal solutions of an Integer Linear Programming problem and its standard linear relaxation. In this bound, n is the number of variables and ∆ denotes the maximum of the absolute va
From playlist Workshop: Tropical geometry and the geometry of linear programming
Priya Donti - Optimization-in-the-loop AI for energy and climate - IPAM at UCLA
Recorded 28 February 2023. Priya Donti of Cornell University presents "Optimization-in-the-loop AI for energy and climate" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: Addressing climate change will require concerted action across society, including the d
From playlist 2023 Artificial Intelligence and Discrete Optimization
Restoring Heisenberg scaling in noisy quantum metrology (...) - M. Genoni - Workshop 2 - CEB T2 2018
Marco Genoni (Univ. Milano) / 06.06.2018 Restoring Heisenberg scaling in noisy quantum metrology by monitoring the environment We study quantum frequency estimation for N qubits subjected to independent Markovian noise, via strategies based on time-continuous monitoring of the environmen
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
Decision Making and Inference Under Model Misspecification by Jose Blanchet
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019
Filippo Santambrogio: Introduction to optimal transport theory - lecture 1
CONFERENCE Recorded during the meeting "CEMRACS 2022: Transport in Physics, Biology and Urban Traffic" the July 18, 2022 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathem
From playlist CEMRACS 2022
From the Monge transportation problem to Einstein's gravitation through Euler's Hy... - Yann Brenier
Workshop on Recent developments in incompressible fluid dynamics Topic: From the Monge transportation problem to Einstein's gravitation through Euler's Hydrodynamics Speaker: Yann Brenier Affiliation: CNRS-Laboratoire de Mathematiques d'Orsay, Universite Paris-Saclay Date: April 04, 2022
From playlist Mathematics
Quadratically regularized optimal transport - Lorenz - Workshop 1 - CEB T1 2019
Lorenz (Univ. Braunschweig) / 07.02.2019 Quadratically regularized optimal transport Among regularization techniques for optimal transport, entropic regularization has played a pivotal rule. The main reason may be its computational simplicity: the Sinkhorn-Knopp iteration can be impleme
From playlist 2019 - T1 - The Mathematics of Imaging
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
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
8ECM Invited Lecture: Mirjam Dür
From playlist 8ECM Invited Lectures