ViewTube

ViewTube
Sign inSign upSubscriptions
Filters

Upload date

Type

Duration

Sort by

Features

Reset

2,477 results

Electrical & Computer Learning Center, ECL Center
Nonlinear Programming - MIT - Lec 03

Newton's Method Source: OCW MIT - Massachusetts Institute of Technology More information is available in the playlist details.

1:29:28
Nonlinear Programming - MIT - Lec 03

62 views

9 months ago

Electrical & Computer Learning Center, ECL Center
Nonlinear Programming - MIT - Lec 13

Semidefinite Optimization I Source: OCW MIT - Massachusetts Institute of Technology More information is available in the playlist ...

1:24:43
Nonlinear Programming - MIT - Lec 13

53 views

9 months ago

IBM Research
Robust Learning via Robust Optimization - Stefanie Jegelka

Stefanie Jegelka, Professor at MIT, presents recent work on robust machine learning via robust optimization.

29:58
Robust Learning via Robust Optimization - Stefanie Jegelka

4,265 views

6 years ago

MIT OpenCourseWare
Spring 2020 Update from Dean Rajagopal

MIT Dean for Digital Learning Krishna Rajagopal shares how OpenCourseWare has been an important resource during the ...

6:14
Spring 2020 Update from Dean Rajagopal

14,248 views

5 years ago

Projecto LATIn
MIT OpenCourseWare 1800 Event
8:23
MIT OpenCourseWare 1800 Event

553 views

12 years ago

MIT Center for Transportation & Logistics
SC0x 2017_2 Live Event 3A-MITx MicroMasters in SCM

Problems from Practice.

17:07
SC0x 2017_2 Live Event 3A-MITx MicroMasters in SCM

922 views

Streamed 8 years ago

Rasmus Pagh
Lecture 03: Linear programming and deterministic rounding

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

25:01
Lecture 03: Linear programming and deterministic rounding

518 views

3 years ago

Chris Rycroft
Harvard AM205 video 4.11 - Penalty methods and linear programming

Harvard Applied Math 205 is a graduate-level course on scientific computing and numerical methods. This video continues the ...

21:25
Harvard AM205 video 4.11 - Penalty methods and linear programming

4,357 views

5 years ago

Jukuinc
Lec 21 | MIT 6.00 Introduction to Computer Science and Programming | Validating simulation results

Juku.org | Help us change Learning forever. Lecture Description: Validating simulation results, curve fitting, linear regression ...

53:48
Lec 21 | MIT 6.00 Introduction to Computer Science and Programming | Validating simulation results

55 views

14 years ago

MITK12Videos
What Is A Fractal (and what are they good for)?

Fractals are complex, never-ending patterns created by repeating mathematical equations. Yuliya, a undergrad in Math at MIT, ...

4:13
What Is A Fractal (and what are they good for)?

757,015 views

10 years ago

Electrical & Computer Learning Center, ECL Center
Geometric Folding Algorithms; Linkages, Origami, Polyhedra - MIT - Class 12

A question on linear programming's application to the motions and stresses is addressed. Speaker: Erik Demaine Source: OCW ...

18:02
Geometric Folding Algorithms; Linkages, Origami, Polyhedra - MIT - Class 12

7 views

11 months ago

Jukuinc
Lec 8 | MIT 6.00 Introduction to Computer Science and Programming | Complexity

Juku.org | Help us change Learning forever. Lecture Description: Complexity; log, linear, quadratic, exponential algorithms ...

50:03
Lec 8 | MIT 6.00 Introduction to Computer Science and Programming | Complexity

283 views

14 years ago

MIT 6.824: Distributed Systems
Lecture 12: Distributed Transactions

Lecture 12: Distributed Transactions MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/

1:17:24
Lecture 12: Distributed Transactions

53,932 views

5 years ago

Electrical & Computer Learning Center, ECL Center
Computational Science and Engineering I - MIT - Rec 04

Recitation 04 Instructor: Prof. Gilbert Strang Source: OCW MIT - Massachusetts Institute of Technology More information is ...

56:18
Computational Science and Engineering I - MIT - Rec 04

8 views

3 months ago

Institute for Pure & Applied Mathematics (IPAM)
Jason Altschuler - Near-Linear Runtime for a Classical Matrix Preconditioning Algorithm

Recorded 22 May 2025. Jason Altschuler of the Massachusetts Institute of Technology presents "Near-Linear Runtime for a ...

54:54
Jason Altschuler - Near-Linear Runtime for a Classical Matrix Preconditioning Algorithm

759 views

7 months ago

AbdulEcon
Slack Variables PLUS The Dual (Duality) Linear Programming: Introduction Part2

Slack Variables PLUS The Dual (Duality) Linear Programming: Introduction CORRECTION: if the primal has m variables and n ...

18:01
Slack Variables PLUS The Dual (Duality) Linear Programming: Introduction Part2

6,422 views

13 years ago

Jukuinc
Lec 2 | MIT 6.00 Introduction to Computer Science and Programming | Operators and Operands

Juku.org | Help us change Learning forever. Lecture Description: Operators and operands; statements; branching, conditionals, ...

50:49
Lec 2 | MIT 6.00 Introduction to Computer Science and Programming | Operators and Operands

322 views

14 years ago

jasonofthel33t
Lec 15 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005

Louder version of Lec 15 MIT 6.046J. For more muses about algorithms, python and mozilla hacking, visit ...

1:11:00
Lec 15 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005

3,109 views

13 years ago

Electrical & Computer Learning Center, ECL Center
Advanced Data Structures - MIT - Lec 10

Session 10: Dictionaries Description: Dictionaries: Universal, k-wise independent, simple tabulation hashing; chaining, dynamic ...

1:23:28
Advanced Data Structures - MIT - Lec 10

32 views

11 months ago

Electrical & Computer Learning Center, ECL Center
Matrix Calculus for Machine Learning and Beyond - MIT - Lec 01 - Part 1

Lecture 1 Part 1: Introduction and Motivation Description: What is matrix calculus, and why do we need to go beyond single ...

57:42
Matrix Calculus for Machine Learning and Beyond - MIT - Lec 01 - Part 1

717 views

11 months ago