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70 results

OpenMDAO
Basic optimization problem formulation

One of the most important steps in optimization is formulating well-posed and meaningful problems that you can interpret ...

8:52
Basic optimization problem formulation

5,157 views

3 years ago

mathapptician
3   Minimal faces
4:56
3 Minimal faces

742 views

10 years ago

OpenMDAO
Multiobjective optimization

Multiobjective optimization is somewhat of a misnomer -- you actually have to have predefined weightings for each of the ...

5:49
Multiobjective optimization

23,048 views

3 years ago

NPTEL IIT Bombay
#47 Formulation Non Linear Relationship Table Functions | Part I

Welcome to 'Introduction to System Dynamics Modeling' course ! This lecture covers modeling non-linear relationships using ...

31:09
#47 Formulation Non Linear Relationship Table Functions | Part I

621 views

6 years ago

NPTEL IIT Bombay
Lecture 13A: Farkas' lemma

Week 7: Lecture 13A: Farkas' lemma.

14:51
Lecture 13A: Farkas' lemma

5,350 views

4 years ago

NPTEL IIT Bombay
#48 Formulation Non Linear Relationship Table Functions | Part II

Welcome to 'Introduction to System Dynamics Modeling' course ! This lecture continues the discussion on table functions, ...

33:10
#48 Formulation Non Linear Relationship Table Functions | Part II

505 views

6 years ago

mathapptician
1   Fundamental Theorem of Linear Programming

The fundamental theorem of linear programming states the following: for any given linear programming problem, exactly one of ...

5:29
1 Fundamental Theorem of Linear Programming

12,390 views

10 years ago

SVSU Micro Math
Linear Programming: Minimize C=2x+y subject to x+y ≤50, x≥y, x≥20, x≥0, y≥0

Tony from SVSU Micro Math helps you solve a linear programming problem using a graphical method. Problem: Minimize C=2x+y ...

2:16
Linear Programming: Minimize C=2x+y subject to x+y ≤50, x≥y, x≥20, x≥0, y≥0

820 views

5 years ago

NPTEL IIT Bombay
Lecture 09C: Linear Programming Problems

Week 5: Lecture 09C: Linear Programming Problems.

22:32
Lecture 09C: Linear Programming Problems

1,355 views

4 years ago

SVSU Micro Math
Linear Programming: Maximize P=4x+6y subject to 4x+4y≤8, 2x+y≤4, x≥0, y≥0

Tony from SVSU Micro Math helps you solve a linear programming problem using a graphical method. Problem: Maximize ...

3:00
Linear Programming: Maximize P=4x+6y subject to 4x+4y≤8, 2x+y≤4, x≥0, y≥0

1,419 views

5 years ago

NPTEL IIT Bombay
Lecture 12C: Proof of strong duality (continued)

Week 6: Lecture 12C: Proof of strong duality (continued)

25:21
Lecture 12C: Proof of strong duality (continued)

779 views

4 years ago

Mixed Integer Programming
Suresh Bolusani - Generalized Benders' Decomposition for Multilevel/Multistage Optimization

Part of MIP2020 online workshop: https://sites.google.com/view/mipworkshop2020/home Poster Session 4: Stochastic ...

9:51
Suresh Bolusani - Generalized Benders' Decomposition for Multilevel/Multistage Optimization

1,249 views

5 years ago

NPTEL IIT Bombay
Lecture 13C: Shortest path problem

Week 7: Lecture 13C: Shortest path problem.

30:06
Lecture 13C: Shortest path problem

686 views

4 years ago

NPTEL IIT Bombay
Lecture 10A: Extreme points and optimal solution of an LP

Week 5: Lecture 10A: Extreme points and optimal solution of an LP.

18:13
Lecture 10A: Extreme points and optimal solution of an LP

1,854 views

4 years ago

nptelhrd
Mod-03 Lec-13 On-line Least Squares

Dynamic Data Assimilation: an introduction by Prof S. Lakshmivarahan,School of Computer Science,University of Oklahoma.

37:20
Mod-03 Lec-13 On-line Least Squares

767 views

9 years ago

Luis R. Izquierdo
The scheduling problem (1/7). Introduction

Playlist at https://www.youtube.com/playlist?list=PLN4kTzLXGGgU2-WLwxfuRwfnENwSusLCb Classes for the Degree of ...

8:46
The scheduling problem (1/7). Introduction

10,171 views

5 years ago

Tom Viering AI
Soft-Margin SVM

Unless otherwise specified, the contents of this video are Copyright of Delft University of Technology and licensed under a ...

11:38
Soft-Margin SVM

289 views

2 years ago

National Centre for Research Methods (NCRM)
Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6)

Professor Patrick Sturgis, NCRM director, in the first (of three) part of the Structural Equiation Modeling NCRM online course.

25:32
Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6)

526,853 views

9 years ago

Najla Abrao
Math 43 Chapter 1 #80
5:24
Math 43 Chapter 1 #80

458 views

5 years ago

Maria Andersen
CAC Solving Linear Inequalities

Contemporary Algebra Collection Topic: Linear Inequalities and Systems, Video 2 of 5 Video Title: Solving Linear Inequalities ...

8:32
CAC Solving Linear Inequalities

69 views

5 years ago