Optimal Power Flow: Relaxation, Online Algorithm, Fast Dynamics
Steven Low, California Institute of Technology Real-Time Decision Making https://simons.berkeley.edu/talks/steven-low-2016-06-30.
Simons Institute
9. Lagrangian Duality and Convex Optimization
We introduce the basics of convex optimization and Lagrangian duality. We discuss weak and strong duality, Slater's constraint qualifications, and we derive the ...
Inside Bloomberg
Lecture 5 | Convex Optimization I (Stanford)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on the different problems that are included within convex ...
Stanford
Saharon Rosset: Optimal and maximin procedures for multiple testing problems
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 05, 2020 by the Centre International de ...
Centre International de Rencontres Mathématiques
Advanced Methods for Optimal Scheduling Using Gurobi
Scheduling problems arise in a wide range of applications, and solving large-scale problems efficiently can require expert knowledge and insights.
Gurobi Optimization
10. Dynamic Programming: Advanced DP
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Srinivas Devadas In this lecture, ...
MIT OpenCourseWare
❖ The Big M Method : Maximization with Mixed Constraints ❖
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! In this video, I go through all of ...
patrickJMT
Lecture 8 | Convex Optimization I (Stanford)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on duality in the realm of electrical engineering and how it is ...
Stanford
L20.10 Maximum Likelihood Estimation Examples
MIT RES.6-012 Introduction to Probability, Spring 2018 View the complete course: https://ocw.mit.edu/RES-6-012S18 Instructor: John Tsitsiklis License: Creative ...
MIT OpenCourseWare
6. L1 & L2 Regularization
We introduce "regularization", our main defense against overfitting. We discuss the equivalence of the penalization and constraint forms of regularization (see ...
Inside Bloomberg
Introduction to Optimization and Optimal Control using the software packages CasADi and ACADO
Adriaen Verheyleweghen and Christoph Backi Virtual Simulation Lab seminar series http://www.virtualsimlab.com.
Virtual Simulation Lab
Lecture 15 | Convex Optimization I (Stanford)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on how unconstrained minimization can be used in electrical ...
Stanford
Tips and Tricks for Optimal Scheduling with End-to-End Analytics and Gurobi
Scheduling problems arise in a wide-range of applications that require finding the best possible sequence to perform a set of tasks, including job shop ...
Gurobi Optimization
Uniform Trigonometrization Method for Solving Optimal Control Problems with Constraints
This video includes a recent method devised to efficiently solve very tough optimal control problems with different types of constraints simultaneously while ...
Kshitij Mall
Direct Method for Optimal Control Problems with Excel Solver
The Author has devised a simple yet highly effective technique for solving general optimal control problems in Excel spreadsheet. The technique employs ...
ExcelWorks LLC
How to Ask Better Questions | Mike Vaughan | TEDxMileHigh
How can humanity increase its capacity to make decisions in an increasingly complex world? In this informative talk, thinking rethinker Mike Vaughan shares ...
TEDx Talks
L07.8 The Hat Problem
MIT RES.6-012 Introduction to Probability, Spring 2018 View the complete course: https://ocw.mit.edu/RES-6-012S18 Instructor: John Tsitsiklis License: Creative ...
MIT OpenCourseWare
Linear Regression and Multiple Regression
In this video, I will be talking about a parametric regression method called “Linear Regression” and it's extension for multiple features/ covariates, "Multiple ...
CodeEmporium
Monte Carlo Tree Search (MCTS) Tutorial
Learn more advanced front-end and full-stack development at: https://www.fullstackacademy.com The Monte Carlo Tree Search (MCTS) is a search algorithm ...
Fullstack Academy
Lecture 7 | Convex Optimization I
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, expands upon his previous lectures on convex optimization problems for ...
Stanford
EAGE E-Lecture: A misfit function based on an optimal transport distance for FWI by Ludovic Métivier
"In the field of seismic imaging, full waveform inversion has become one of the key techniques to provide high resolution quantitative estimation of subsurface ...
EAGE Channel
Artificial Intelligence (AI) Interview Questions and Answers | AI Interview Preparation | Edureka
Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **) This video on Artificial ...
edureka!
Mod-01 Lec-38 Genetic Algorithms
Design and Optimization of Energy Systems by Prof. C. Balaji , Department of Mechanical Engineering, IIT Madras. For more details on NPTEL visit ...
nptelhrd
Optimal Hamiltonian simulation by quantum signal processing
"Efficient simulation of quantum systems motivates quantum computers and is a longstanding problem. We provide a simple quantum algorithm that simulates a ...
Microsoft Research
Optimal Data-Dependent Hashing for Nearest Neighbor Search
Alex Andoni, Columbia University Computational Complexity of Low-Polynomial Time Problems https://simons.berkeley.edu/talks/alex-andoni-2015-12-01.
Simons Institute
Lec-21 Successive Shortest Path Problem
Lecture series on Advanced Operations Research by Prof. G.Srinivasan, Department of Management Studies, IIT Madras. For more details on NPTEL visit ...
nptelhrd
MATLAB Nonlinear Optimization with fmincon
This step-by-step tutorial demonstrates fmincon solver on a nonlinear optimization problem with one equality and one inequality constraint.
APMonitor.com
Codon optimization: Why & how to design DNA sequences for optimal soluble protein expression
Have you struggled with low protein expression levels in your experiments? This webinar will explain the principles of codon optimization and explore case ...
GenScript USA Inc.
14. Portfolio Theory
MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: http://ocw.mit.edu/18-S096F13 Instructor: Peter ...
MIT OpenCourseWare
Lecture - 26 Load Flow Studies
Lecture Series on Power System Generation, Transmission and Distribution by Prof.D.P.Kothari, Centre for Energy Studies, IIT Delhi For more details visit ...
nptelhrd
Mod-01 Lec-39 Multi Objective Decision Making
Optimization by Prof. A. Goswami & Dr. Debjani Chakraborty,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in.
nptelhrd
Population based methods for Optimization
Artificial Intelligence by Prof. Deepak Khemani,Department of Computer Science and Engineering,IIT Madras.For more details on NPTEL visit http://nptel.ac.in.
nptelhrd
Jerrold Marsden on Discrete Mechanics and Optimal Control
Nokia Distinguished Lecture: Jerrold Marsden on Discrete Mechanics and Optimal Control Engineering and Control & Dynamical Systems California Institute of ...
CITRIS
2018 LLVM Developers’ Meeting: C. Schafmeister “Lessons Learned Implementing Common Lisp with LLVM”
http://llvm.org/devmtg/2018-10/ — Lessons Learned Implementing Common Lisp with LLVM over Six Years - Christian Schafmeister Slides: Coming Soon — I ...
LLVM
Alberto Bemporad | Embedded Model Predictive Control
Recent Advances in Embedded Model Predictive Control Model Predictive Control (MPC) is one of the most successful techniques adopted in industry to control ...
University of Michigan Engineering
Lecture 6 | Convex Optimization I (Stanford)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on convex optimization problems for the course, ...
Stanford
Cracking the Coding Interview (in 5 simple steps, for software engineers)
Ex-Google Tech Lead gives you 5 last-minute tips for your software engineer interview. Get extra whiteboard coding practice with 50+ video sessions at: ...
TechLead
Maximize Profit by Optimizing Production Using Excel Solver
A video showing a simple business problem that you can solve using Excel's Solver add-in. This particular example is focused on optimizing the production mix ...
Mark Zabel
Lecture - 29 Newton Raphson (NR),
Lecture Series on Power System Generation, Transmission and Distribution by Prof.D.P.Kothari, Centre for Energy Studies, IIT Delhi For more details visit ...
nptelhrd
Deep Learning for Decision Making and Control
A remarkable feature of human and animal intelligence is the ability to autonomously acquire new behaviors. This research is concerned with designing ...
UW Video
12. Introduction to Protein Structure; Structure Comparison and Classification
MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: http://ocw.mit.edu/7-91JS14 Instructor: Ernest Fraenkel ...
MIT OpenCourseWare
Lecture 9 | Convex Optimization I (Stanford)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture upon duality for the course, Convex Optimization I ...
Stanford
