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549 results

OpenMDAO
Types of solvers and when to use them

For nonlinear and linear systems there are various solvers that can converge your system. The best solver to use is highly ...

7:51
Types of solvers and when to use them

2,862 views

3 years ago

Piotr Komisarski
Nonlinear optimization
4:04
Nonlinear optimization

32 views

7 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

23,046 views

3 years ago

OpenMDAO
Nonlinear and linear systems and solvers

In OpenMDAO terms, your nonlinear system is your model or governing system of equations. Your linear system is a ...

13:15
Nonlinear and linear systems and solvers

1,649 views

3 years ago

OpenMDAO
Understanding XDSM diagrams

XDSM diagrams are a good tool for visualizing models, understanding solver loops, and specifying interfaces between models ...

16:40
Understanding XDSM diagrams

5,181 views

3 years ago

Phys Whiz
Non-Linear CURVE FITTING using PYTHON

A tutorial on how to perform a non-linear curve fitting of data-points to any arbitrary function with multiple fitting parameters.

11:37
Non-Linear CURVE FITTING using PYTHON

83,313 views

6 years ago

Pantelis Sopasakis
OptimizationEngine (OpEn): Code generation for embedded nonconvex optimization

This is a short presentation of OptimizationEngine (OpEn) - a free open-source framework for embedded nonconvex optimization.

14:01
OptimizationEngine (OpEn): Code generation for embedded nonconvex optimization

1,478 views

5 years ago

Chris Rycroft
Harvard AM205 video 4.10 - Sequential quadratic programming

Harvard Applied Math 205 is a graduate-level course on scientific computing and numerical methods. Video 4.7 in this series ...

9:53
Harvard AM205 video 4.10 - Sequential quadratic programming

12,415 views

5 years ago

CodeEmporium
The Kernel Trick - THE MATH YOU SHOULD KNOW!

Some parametric methods, like polynomial regression and Support Vector Machines stand out as being very versatile. This is due ...

7:30
The Kernel Trick - THE MATH YOU SHOULD KNOW!

203,514 views

7 years ago

Julius Pfrommer
3.5 Optimization Methods - Soft Equality Constraints

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

19:05
3.5 Optimization Methods - Soft Equality Constraints

1,677 views

5 years ago

ICTP Condensed Matter and Statistical Physics
Lossy compression of matrices by black-box optimisation of mixed-integer non-linear programmin

ICTP Conference on Adiabatic Quantum Computation / Quantum Annealing (hosting AQC2022) | (smr 3718) Speaker: Tadashi ...

19:10
Lossy compression of matrices by black-box optimisation of mixed-integer non-linear programmin

72 views

3 years ago

Tom Viering AI
How to use linear models for nonlinear tasks?

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

7:07
How to use linear models for nonlinear tasks?

285 views

2 years ago

Editor GIAP Journals
Presentation 8: Improved Particle Swarm Optimization for Non-linear Programming Problem

Author's: Raju Prajapati, Department of Mathematics, University of Engineering and Management University, Kolkata, West ...

12:55
Presentation 8: Improved Particle Swarm Optimization for Non-linear Programming Problem

1,064 views

9 years ago

hageldave
VINCI 2020 - Visualization of Nonlinear Programming for Robot Motion Planning

Talk by David Hägele for the 13th International Symposium on Visual Information Communication and Interaction (VINCI 2020).

17:32
VINCI 2020 - Visualization of Nonlinear Programming for Robot Motion Planning

160 views

5 years ago

Academics Zone
Matheuristics: Combination of Mathematical Programming with Metaheuristics

This little video discusses the possobilities of making hybrid algorithms usnig Mathematics Programming and Metaheuristic ...

9:31
Matheuristics: Combination of Mathematical Programming with Metaheuristics

19 views

9 months ago

Dr Biju A V
Key Differences among Forecasting , optimization and simulation

presentation by Aleena Poulose Mcom, Department of Commerce, University of Kerala.

14:52
Key Differences among Forecasting , optimization and simulation

171 views

3 years ago

Pablo Ares Gastesi
Excel's solver and KKT

We explain how to use solver for Kuhn-Tucker problems, and the meaning of the multiplier using the sensitivity analysis report.

7:45
Excel's solver and KKT

1,547 views

4 years ago

calcvids
Optimization: Modeling

This video uses the scenario of building a fence along the side of a barn to show how to create an algebraic model of a scenario ...

5:57
Optimization: Modeling

3,576 views

6 years ago

In Case of Econ Struggles
Stata Nonlinear Estimation: NL Function Evaluator Programming Guide

Learn how to write and troubleshoot NL function evaluator programs in Stata. In this tutorial, I cover the basics of building ...

9:15
Stata Nonlinear Estimation: NL Function Evaluator Programming Guide

53 views

3 months ago

aa4cc
L1.6 –⁠ Inequality-constrained optimization: KKT conditions as first-order conditions of optimality

Introduction to inequality-constrained optimization within a course on "Optimal and robust control" (B3M35ORR, BE3M35ORR) ...

18:12
L1.6 –⁠ Inequality-constrained optimization: KKT conditions as first-order conditions of optimality

13,171 views

3 years ago