How to Evaluate an Iterated Integral
How to Evaluate an Iterated Integral If you enjoyed this video please consider liking, sharing, and subscribing. You can also help support my channel by becoming a member https://www.youtube.com/channel/UCr7lmzIk63PZnBw3bezl-Mg/join Thank you:)
From playlist Calculus 3
Comparing Iterative and Recursive Factorial Functions
Comparing iterative and recursive factorial functions
From playlist Computer Science
Nikhil Bansal: On a generalization of iterated and randomized rounding
The lecture was held within the framework of the follow-up workshop to the Hausdorff Trimester Program: Combinatorial Optimization. We describe a new rounding procedure that optimally combines the benefits of both iterated rounding and randomized rounding. A nice feature of this procedure
From playlist Follow-Up-Workshop "Combinatorial Optimization"
Least-squares fitting is one of the most important matrix algebra techniques in statistics and scientific computing. You'll learn the theory of least-squares fitting and see several examples in simulated and in real data. The video uses files you can download from https://github.com/mikex
From playlist OLD ANTS #9) Matrix analysis
Introduction to Iterated Integrals - Calculus 3
Introduction to Iterated Integrals - Calculus 3
From playlist Calculus 3
The double integral of two variables is an iterated integral. The outer integral should be between two constant if the answer is to be a number. In a type I region it is the x-values that are constants and make the bounds of the outer integral.
From playlist Advanced Calculus / Multivariable Calculus
Covariant LEAst-square Re-fitting for Image Restoration - Papadakis - Workshop 1 - CEB T1 2019
Papadakis (CNRS) / 05.02.2019 Covariant LEAst-square Re-fitting for Image Restoration In this talk, a framework to remove parts of the systematic errors affecting popular restoration algorithms is presented, with a special focus on image processing tasks. Generalizing ideas that emerged
From playlist 2019 - T1 - The Mathematics of Imaging
Lecture 14 - Expectation-Maximization Algorithms | Stanford CS229: Machine Learning (Autumn 2018)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3G6tSE6 Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus, visit: http://cs229.sta
From playlist Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018
Live CEOing Ep 459: Language Design in Wolfram Language [Game Theory]
In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and functionality to the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wo
From playlist Behind the Scenes in Real-Life Software Design
Chao Yang - Low rank approximation in electron excitation calculations - IPAM at UCLA
Recorded 02 May 2022. Chao Yang of Lawrence Berkeley National Laboratory presents "Low rank approximation in electron excitation calculations" at IPAM's Large-Scale Certified Numerical Methods in Quantum Mechanics Workshop. Abstract: A practical way to study electron excitation computation
From playlist 2022 Large-Scale Certified Numerical Methods in Quantum Mechanics
C34 Expanding this method to higher order linear differential equations
I this video I expand the method of the variation of parameters to higher-order (higher than two), linear ODE's.
From playlist Differential Equations
Population Genetics and Evolution – I: The Mechanisms of Evolution: by Luca Peliti
DATE & TIME 04 December 2017 to 22 December 2017 VENUE Ramanujan Lecture Hall, ICTS, Bengaluru The International Centre for Theoretical Sciences (ICTS) and the Abdus Salam International Centre for Theoretical Physics (ICTP), are organizing a Winter School on Quantitative Systems Biology (Q
From playlist Winter School on Quantitative Systems Biology
R & Python - Classification Part 2 (2021)
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This update includes a few changes to the lecture material to help clarify what is necessary for classification (i.e., taking out some confusing parts from scikit-learn). This video is part of my Natural
From playlist Natural Language Processing
Population Genetics and Evolution – III: Speed of Adaptation - The Coalescent by Luca Peliti
Winter School on Quantitative Systems Biology DATE:04 December 2017 to 22 December 2017 VENUE:Ramanujan Lecture Hall, ICTS, Bengaluru The International Centre for Theoretical Sciences (ICTS) and the Abdus Salam International Centre for Theoretical Physics (ICTP), are organizing a Winter S
From playlist Winter School on Quantitative Systems Biology
Sebastian Pokutta: A distributed accelerated algorithm for the 1-fair packing problem
The proportional fair resource allocation problem is a major problem studied in flow control of networks, operations research, and economic theory, where it has found numerous applications. This problem, defined as the constrained maximization of ∑_i log x_i, is known as the packing propor
From playlist Workshop: Continuous approaches to discrete optimization
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Julian Shun View the complete course: https://ocw.mit.edu/6-172F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf Prof. Shun discusses graph optimizations, algorithmic
From playlist MIT 6.172 Performance Engineering of Software Systems, Fall 2018
Free ebook http://tinyurl.com/EngMathYT I show how to solve differential equations by applying the method of variation of parameters for those wanting to review their understanding.
From playlist Differential equations