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5,616 results

Adam Gaweda, Dr. Sensei
Approximation of Floating Point Errors

... conditional statement in evaluating a conditional statement can come through something known as approximation and there's a ...

7:33
Approximation of Floating Point Errors

137 views

4 years ago

Wikimedia Deutschland
Kashif Rasul “Approximate Algorithms” at EnthusiastiCon

Kashif Rasul talked about Approximate Algorithms at EnthusiastiCon. In computer science and operations research, ...

15:48
Kashif Rasul “Approximate Algorithms” at EnthusiastiCon

139 views

10 years ago

Michael Nielsen
The Universal Approximation Theorem for neural networks

For an introduction to artificial neural networks, see Chapter 1 of my free online book: ...

6:25
The Universal Approximation Theorem for neural networks

83,471 views

8 years ago

Erik Lindahl
Lecture 06, concept 09: Integration using the leap-frog algorithm updates x & v

So now we have a potential function to calculate forces the other part i'm going to need i'm going to need some sort of algorithm or ...

6:15
Lecture 06, concept 09: Integration using the leap-frog algorithm updates x & v

17,343 views

4 years ago

The Random Professor
The Christofides-Serdyukov Algorithm:  Setup

Setting up for the Christofides-Serdyuov Algorithm for solving the TSP. For more math, subscribe to my channel: ...

5:11
The Christofides-Serdyukov Algorithm: Setup

2,655 views

1 year ago

Rasmus Pagh
Lecture 01: Greedy and local search approximation algorithms

Lecture from the Approximation Algorithms course at University of Copenhagen. Based on the textbook by Williamson and ...

19:09
Lecture 01: Greedy and local search approximation algorithms

1,056 views

3 years ago

Martin Suderland
Sum of distances problems: Fermat point, n-ellipses and min-sum Voronoi  diagram

Using a subdivision approach we implemented and visualize approximation algorithms for three different problems involving the ...

9:31
Sum of distances problems: Fermat point, n-ellipses and min-sum Voronoi diagram

228 views

3 years ago

Julius Pfrommer
1.3 Optimization Methods - Notation and Analysis Refresher

Optimization Methods for Machine Learning and Engineering (KIT Winter Term 20/21) Slides and errata are available here: ...

9:49
1.3 Optimization Methods - Notation and Analysis Refresher

9,400 views

5 years ago

Luis R. Izquierdo
Introduction to Metaheuristics (3/9). Exact methods, approximate methods and metaheuristics

Playlist at https://www.youtube.com/playlist?list=PLN4kTzLXGGgWNf4CDyoZZOsjOCftW5ej6 Classes for the Degree of Industrial ...

9:42
Introduction to Metaheuristics (3/9). Exact methods, approximate methods and metaheuristics

11,012 views

5 years ago

ACM SIGWEB
Bidder Selection Problem in Position Auctions  A Fast and Simple Algorithm via Poisson Approximation

Nikolai Gravin, Shanghai University of Finance and Economics, Shanghai, China.

10:37
Bidder Selection Problem in Position Auctions A Fast and Simple Algorithm via Poisson Approximation

30 views

1 year ago

ACM SIGWEB
Modeling the Impact of Timeline Algorithms on Opinion Dynamics Using Low rank Updates

Tianyi Zhou, KTH Royal Institute of Technology, Stockholm, Sweden.

10:45
Modeling the Impact of Timeline Algorithms on Opinion Dynamics Using Low rank Updates

10 views

1 year ago

CIS 522 - Deep Learning
Universal Approximation

This video was recorded as part of CIS 522 - Deep Learning at the University of Pennsylvania. The course material, including the ...

6:47
Universal Approximation

1,690 views

4 years ago

Rasmus Pagh
Lecture 02: Rounding data and dynamic programming

Lecture from the Approximation Algorithms course at University of Copenhagen. Based on the textbook by Williamson and ...

15:40
Lecture 02: Rounding data and dynamic programming

262 views

3 years ago

Measurement in Mechatronics
Successive Approximations

Following the conceptual process the UNO uses to convert analog voltages into integer representations helps understand why the ...

9:30
Successive Approximations

1,166 views

7 years ago

John Mount
PAC Learning and VC Dimension

A quick introduction to PAC Learning and VC Dimension.

17:17
PAC Learning and VC Dimension

25,586 views

5 years ago

ACM SIGWEB
A Fast Hop Biased Approximation Algorithm for the Quadratic Group Steiner Tree Problem

Xiaoqing Wang, State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China.

9:24
A Fast Hop Biased Approximation Algorithm for the Quadratic Group Steiner Tree Problem

20 views

1 year ago

Jaisohn Kim, PhD
Numerical Methods: Roundoff and Truncation Errors (1/2)

Virginia Tech ME 2004: Numerical Methods: Roundoff and Truncation Errors (1/2) This two-part sequence explains the difference ...

16:58
Numerical Methods: Roundoff and Truncation Errors (1/2)

67,817 views

4 years ago

NERSC
Day 2: Qubit-efficient quantum combinatorial optimization solver

Speaker: Bhuvanesh Sundar (Rigetti) This is part of the Quantum Days 2024 , November 7- 8, 2024 ...

10:31
Day 2: Qubit-efficient quantum combinatorial optimization solver

88 views

1 year ago

I Hate Programming
algorithm approximation problems

today I will teach you about algorithm approximation problems #pm_imran_khan #a_star_algorithm_problems ...

10:21
algorithm approximation problems

215 views

4 years ago

IACR
Generating Graphs Packed with Paths Estimation of Linear Approximations and Differentials

Paper by Mathias Hall-Andersen, Philip S. Vejre presented at Fast Software Encryption Conference 2019 See ...

19:46
Generating Graphs Packed with Paths Estimation of Linear Approximations and Differentials

68 views

6 years ago