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625 results

Matt Haberland
Optimization VIII: Solving Nonlinear Programs Graphically

Watch the full series (recommended order): https://www.youtube.com/playlist?list=PLP-QigDOxJdWFs2bvIIJf0YtIpX-f_26Z New ...

9:47
Optimization VIII: Solving Nonlinear Programs Graphically

25 views

4w ago

Matt Haberland
Optimization Supplement I: Real-World Applications and History of Optimization

Topics covered: • Real-world applications of optimization • Linear vs nonlinear programming • Combinatorial optimization ...

46:17
Optimization Supplement I: Real-World Applications and History of Optimization

86 views

3w ago

CRUNCH Group: Home of Math + Machine Learning + X
An Optimization Framework for the Well-Conditioned Training of PINNs || Sep 11, 2026

Speaker, institute & title 1) Joseph Webb, University of Oxford, An Optimisation Framework for the Well-Conditioned Training of ...

1:20:09
An Optimization Framework for the Well-Conditioned Training of PINNs || Sep 11, 2026

554 views

2w ago

NICE LAB
Advanced Optimization - CH 3-1

Line Search Methods.

1:07:27
Advanced Optimization - CH 3-1

267 views

11d ago

vlogommentary
How to Add Constraints Dynamically in solnl() Optimization in R

Learn how to flexibly add constraints to nonlinear optimization problems solved with the solnl() function in R by programmatically ...

3:42
How to Add Constraints Dynamically in solnl() Optimization in R

0 views

2w ago

Matt Haberland
Optimization X: Solving Nonlinear Programs with Excel Solver Evolutionary

Watch the full series (recommended order): https://www.youtube.com/playlist?list=PLP-QigDOxJdWFs2bvIIJf0YtIpX-f_26Z All ...

4:49
Optimization X: Solving Nonlinear Programs with Excel Solver Evolutionary

55 views

3w ago

Kinematics & Dynamics
A Quasi LPV Dynamic Output Feedback Stabilizer for NL Descriptor Systems via Convex Techniques

A quasi-LPV dynamic output feedback controller for nonlinear descriptor systems has been presented. The approach is based on ...

3:24
A Quasi LPV Dynamic Output Feedback Stabilizer for NL Descriptor Systems via Convex Techniques

25 views

12d ago

NICE LAB
Advanced Optimization - CH 3-2

Line Search Methods.

1:09:54
Advanced Optimization - CH 3-2

140 views

8d ago

NICE LAB
Advanced Optimization - CH 2

Fundamentals of Unconstrained Optimization.

52:44
Advanced Optimization - CH 2

232 views

11d ago

Matt Haberland
Optimization IX: Solving Nonlinear Programs with Excel Solver GRG Nonlinear

Watch the full series (recommended order): https://www.youtube.com/playlist?list=PLP-QigDOxJdWFs2bvIIJf0YtIpX-f_26Z New ...

15:00
Optimization IX: Solving Nonlinear Programs with Excel Solver GRG Nonlinear

61 views

3w ago

Peter Schipperijn
NLP PoolingProblemYouTubr

In today's @PeterSchipperijn video I'd like to talk about linear and nonlinear programming used in product formulation through ...

20:52
NLP PoolingProblemYouTubr

2 views

4d ago

D-Wave
Webinar: Faster Turnarounds and Better Schedules in Oil and Gas with Quantum Optimization

Can quantum optimization improve rig scheduling, turnaround planning, and resource allocation in oil and gas? This webinar ...

35:50
Webinar: Faster Turnarounds and Better Schedules in Oil and Gas with Quantum Optimization

504 views

1d ago

COMAPMath
International Mathematical Modeling Challenge Team 2026023 Presentation

Each year, the International Mathematical Modeling Challenge (IM²C) concludes with an International Summit and Awards ...

13:26
International Mathematical Modeling Challenge Team 2026023 Presentation

20 views

4w ago

The Fintech Builder
The 3 "Safe" Rules That Break Portfolio Optimizers (KKT Conditions for Quants)

You give your portfolio optimizer three simple, conservative rules: 1. Stay fully invested (sum of weights equals 1.0). 2. Deliver at ...

35:44
The 3 "Safe" Rules That Break Portfolio Optimizers (KKT Conditions for Quants)

72 views

2w ago

Todor Stoyanov
Introduction to Robotics: Lecture 5 (Optimization)
1:21:14
Introduction to Robotics: Lecture 5 (Optimization)

4 views

4d ago

Matt Haberland
Optimization Supplement II: Constraints and Feasible Regions

... supplemental lecture introduces optimization constraints and feasible regions for linear and nonlinear programming problems.

29:39
Optimization Supplement II: Constraints and Feasible Regions

58 views

3w ago

Unique Maths
🎯📘 KKT Conditions | Karush–Kuhn–Tucker Conditions | Optimization 🧮✨

Useful for **B.Sc. Mathematics, M.Sc. Mathematics, Optimization, Operations Research, Nonlinear Programming and ...

0:31
🎯📘 KKT Conditions | Karush–Kuhn–Tucker Conditions | Optimization 🧮✨

77 views

10d ago

Optimization4All
Matheus Mendonça | 10 Years of Deploying Digital Twin Decision Systems

Lessons Learned from 10 Years of Deploying Digital Twin Decision Systems. MIP formulations? Stochastic Optimization? Hybrid ...

44:27
Matheus Mendonça | 10 Years of Deploying Digital Twin Decision Systems

353 views

Streamed 8d ago

Warren Powell
SDA video modules - Deterministic optimization as a sequential decision problem

The optimization community has long formulated optimization models (which may have integer variables and/or nonlinear ...

9:39
SDA video modules - Deterministic optimization as a sequential decision problem

84 views

3w ago

Discrete Optimization Talks
Jingye Xu - Asymptotically Strong Dual of Smooth Nonconvex Problems: A Shapley–Folkman Perspective

Jingye Xu - Georgia Tech Asymptotically Strong Dual of Smooth Nonconvex Problems: A Smooth Shapley–Folkman Perspective ...

19:59
Jingye Xu - Asymptotically Strong Dual of Smooth Nonconvex Problems: A Shapley–Folkman Perspective

123 views

12d ago

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