Strassen algorithm

3 3 Strassen 's Subcubic Matrix Multiplication Algorithm 22 min

From playlist Algorithms 1

Jana Cslovjecsek: Efficient algorithms for multistage stochastic integer programming using proximity

We consider the problem of solving integer programs of the form min {c^T x : Ax = b; x geq 0}, where A is a multistage stochastic matrix. We give an algorithm that solves this problem in fixed-parameter time f(d; ||A||_infty) n log^O(2d) n, where f is a computable function, d is the treed

From playlist Workshop: Parametrized complexity and discrete optimization

The fastest matrix multiplication algorithm

Keep exploring at ► https://brilliant.org/TreforBazett. Get started for free, and hurry—the first 200 people get 20% off an annual premium subscription. 0:00 Multiplying Matrices the standard way 2:05 The Strassen Method for 2x2 Matrices 3:52 Large matrices via induction 7:25 The history

From playlist Cool Math Series

Basic stochastic simulation b: Stochastic simulation algorithm

(C) 2012-2013 David Liao (lookatphysics.com) CC-BY-SA Specify system Determine duration until next event Exponentially distributed waiting times Determine what kind of reaction next event will be For more information, please search the internet for "stochastic simulation algorithm" or "kin

From playlist Probability, statistics, and stochastic processes

Stochastic Approximation-based algorithms, when the Monte (...) - Fort - Workshop 2 - CEB T1 2019

Gersende Fort (CNRS, Univ. Toulouse) / 13.03.2019 Stochastic Approximation-based algorithms, when the Monte Carlo bias does not vanish. Stochastic Approximation algorithms, whose stochastic gradient descent methods with decreasing stepsize are an example, are iterative methods to comput

From playlist 2019 - T1 - The Mathematics of Imaging

Stochastic Normalizing Flows

Introduction to the paper https://arxiv.org/abs/2002.06707

From playlist Research

Silvia Villa - Generalization properties of multiple passes stochastic gradient method

The stochastic gradient method has become an algorithm of choice in machine learning, because of its simplicity and small computational cost, especially when dealing with big data sets. Despite its widespread use, the generalization properties of the variants of stochastic

From playlist Schlumberger workshop - Computational and statistical trade-offs in learning

AI Just Solved a 53-Year-Old Problem! | AlphaTensor, Explained

In a year where we've seen Artificial intelligence move forward in a significant way, AlphaTensor is the most exciting breakthrough we have accomplished. This video briefly introduces AlphaTensor and what it means to us. 🔔 Subscribe for more stories: https://www.youtube.com/@underfitted?

From playlist Stories

Joseph Landsberg: "Introduction to the Geometry of Tensors (Part 2/2)"

Watch part 1/2 here: https://youtu.be/v9lx4XN3w9c Tensor Methods and Emerging Applications to the Physical and Data Sciences Tutorials 2021 "Introduction to the Geometry of Tensors (Part 2/2)" Joseph Landsberg - Texas A&M University - College Station, Mathematics Abstract: I will give a

From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021

Dijkstra Algorithm Explained | Network Routing Using Dijkstra’s Algorithm | Simplilearn

In this video on 'What Is Dijkstra's Algorithm?', we will look into the working and the functioning of Dijkstra's algorithm, which works on the principle of the greedy algorithm. This algorithm was designed to deduce the shortest path from the primary node to the target node and design the

From playlist Networking

Universal points in the asymptotic spectrum (...) - M. Christandl - Main Conference - CEB T3 2017

Matthias Christandl (Copenhagen) / 11.12.2017 Title: Universal points in the asymptotic spectrum of tensors Abstract: The asymptotic restriction problem for tensors is to decide, given tensors s and t, whether the nth tensor power of s can be obtained from the (n+o(n))th tensor power o

From playlist 2017 - T3 - Analysis in Quantum Information Theory - CEB Trimester

How 2 multiply Day 1

Broadcasted live on Twitch -- Watch live at https://www.twitch.tv/simuleios

From playlist Misc

R1. Matrix Multiplication and the Master Theorem

MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Ling Ren In this recitation, problems related to matrix multiplication and weighted interval scheduling are discussed. Chapters 00:00 Title slate 00:20 Recitation

From playlist MIT 6.046J Design and Analysis of Algorithms, Spring 2015

Graph Data Structure 4. Dijkstra’s Shortest Path Algorithm

This is the fourth in a series of computer science videos about the graph data structure. This is an explanation of Dijkstra’s algorithm for finding the shortest path between one vertex in a graph and another. Indeed, this explains how Dijkstra’s shortest path algorithm generates a set o

From playlist Path Finding Algorithms

Lec 23 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005

Lecture 23: Advanced Topics (cont.) View the complete course at: http://ocw.mit.edu/6-046JF05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503),

Fast matrix multiplication - Yuval Filmus

Yuval Filmus Institute for Advanced Study; Member, School of Mathematics February 25, 2014 How many arithmetic operations does it take to multiply two square matrices? This question has captured the imagination of computer scientists ever since Strassen showed in 1969 that operations suf

From playlist Mathematics

Separation of variables and the Schrodinger equation

A brief explanation of separation of variables, application to the time-dependent Schrodinger equation, and the solution to the time part. (This lecture is part of a series for a course based on Griffiths' Introduction to Quantum Mechanics. The Full playlist is at http://www.youtube.com/

From playlist Mathematical Physics II - Youtube

Fast matrix multiplication - Yuval Filmus

Yuval Filmus Institute for Advanced Study; Member, School of Mathematics March 4, 2014 How many arithmetic operations does it take to multiply two square matrices? This question has captured the imagination of computer scientists ever since Strassen showed in 1969 that On2.81 O n 2.81 oper

From playlist Mathematics