Prof. Robert Bosch: "Opt Art: From Mathematical Optimization to Visual Design" | Talks at Google
Oberlin College math professor and award-winning artist Bob Bosch has been fusing his interests in mathematics and the visual arts for more than twenty years.
Talks at Google
Optimization with Calculus 1
Find two numbers whose products is -16 and the sum of whose squares is a minimum. Practice this yourself on Khan Academy right now: ...
Khan Academy
Logical Conditions in Mathematical Optimization
Conditional statements (IF...ELSE, ABS, MAX, MIN, SIGNUM, Piece-wise linear) can cause problems for gradient-based optimization algorithms because they ...
APMonitor.com
General Mathematical Optimization
Sanjeev Sharma: 30th Nov 2010. CCO-10/11: P-001, Section-1: General Mathematical Optimization; Searching-Eye (http://www.searching-eye.com/) Contents: ...
Sanjeev Sharma
Lagrange multipliers, using tangency to solve constrained optimization
The Lagrange multiplier technique is how we take advantage of the observation made in the last video, that the solution to a constrained optimization problem ...
Khan Academy
4: How can Machine Learning and Mathematical Optimization help with decisions?
Learn more about Gurobi Optimization here: https://www.gurobi.com/ Check out our Optimization Application Demos here: ...
Gurobi Optimization
Anna Nicanorova: Optimizing Life Everyday Problems Solved with Linear Programing in Python
PyData NYC 2015 Linear Optimization can be a very powerful tool to enable mathematical decision-making under constrains. This tutorial is designed on how to ...
PyData
Mathematical Optimization with Python
This tutorial demonstrates how to solve a simple mathematical optimization problem with four variables, one objective function, one equality constraint, and an ...
APMonitor.com
Mathematical Optimization for Machine Learning
Jeremy Watt, Reza Borhani http://mdp.cdm.depaul.edu/DePy2016/default/schedule In this talk we provide a user-friendly introduction to mathematical ...
Next Day Video
Lecture -- Mathematical Preliminaries for Multi Variable Optimization
This video covers several topics involved in multiple variable optimizations. Topics include scalar vs vector functions, gradients and Hessians, and derivative ...
CEM Lectures
Mathematical optimization model that helps with decision-making in uncertain situations
Akiko Takeda's research group works on mathematical optimization and related issues. A mathematical optimization model is used to find the "best available" ...
慶應義塾Keio University
Mathematical Programming With AMPL | Brian Kernighan and Lex Fridman
Full episode with Brian Kernighan (Jul 2020): https://www.youtube.com/watch?v=O9upVbGSBFo Clips channel (Lex Clips): https://www.youtube.com/lexclips ...
Lex Clips
Dear all calculus students, This is why you're learning about optimization
Get free access to over 2500 documentaries on CuriosityStream: http://go.thoughtleaders.io/1621620200131 (use promo code "zachstar" at sign up) Support the ...
Zach Star
Introduction: Mathematical Programming For All Video Series [slide 1-15]
Learn more about Gurobi Optimization here: https://www.gurobi.com/ Check out our Optimization Application Demos here: ...
Gurobi Optimization
Mod-01 Lec-30 Unconstarined optimization techniques : Direct search method
Optimization by Prof. A. Goswami & Dr. Debjani Chakraborty,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in.
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
15. Linear Programming: LP, reductions, Simplex
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
Webinar – Learn How the FCC Uses Mathematical Optimization
Federal Communications Commission Discover how the Federal Communications Commission (FCC) uses mathematical optimization to schedule the ...
Gurobi Optimization
22. Gradient Descent: Downhill to a Minimum
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang View the complete course: ...
MIT OpenCourseWare
Optimization II (Genetic Algorithms)
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
❖ LaGrange Multipliers - Finding Maximum or Minimum Values ❖
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Please consider supporting me ...
patrickJMT
Solving mathematical optimization problems
Demo of solving optimization problems through APMonitor.com. One of the easiest ways to solve nonlinear programming problems is to start with the ...
APMonitor.com
❖ The Simplex Method and the Dual : A Minimization Example ❖
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Like the video? I'd love your ...
patrickJMT
Mod-01 Lec-31 Unconstarined optimization techniques : Indirect search method
Optimization by Prof. A. Goswami & Dr. Debjani Chakraborty,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in.
nptelhrd
Francis Bach @ One World Optimization Seminar & OWS: Mathematical Methods for Arbitrary Data Sources
The fifth talk in the One World Optimization Seminar given on May 18th, 2020, by Prof. Francis Bach (INRIA) on "On the convergence of gradient descent for wide ...
One World Optimization Seminar
GameMaker Studio 2 Tutorial [ADVANCED] - Mathematical Optimisation Techniques - [Episode #6]
Subscribe: ▻ http://www.youtube.com/subscription_center?add_user=Warrenaterz ----------------------------------------------------------------------------------------------- Hi ...
Warrenaterz
Mathematical Optimization with MATLAB
This tutorial demonstrates how to solve a simple mathematical optimization problem with four variables, one objective function, one equality constraint, and an ...
APMonitor.com
Lec 19 | MIT 18.086 Mathematical Methods for Engineers II
Conjugate Gradient Method View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA More information at ...
MIT OpenCourseWare
⨘ } Algorithms } 45 } Ant Colony Optimization } Mathematical Formulations }
This lecture extends further the discussion on any colony technique. Ants can be considered artificial agents which work together and improve candidate ...
LEPROFESSEUR
Simulation- Mathematical Logic- Mathematical Optimization- Mathematical Modelling
Operation Research covers number of techniques which is taken by management to make their operations effective. This topic has been tested in Autumn 2018 ...
Muhammad Iqbal Bhabha
Calculus 3 Lecture 13.9: Constrained Optimization with LaGrange Multipliers
Calculus 3 Lecture 13.9: Constrained Optimization with LaGrange Multipliers: How to use the Gradient and LaGrange Multipliers to perform Optimization, with ...
Professor Leonard
Data Science Webinar Series - Session 1 - Mathematical Optimization Modeling: Learn the Basics
Mathematical optimization (MO) technologies are being utilized today by leading global companies across industries – including aviation, energy, finance, ...
Gurobi Optimization
Calculus 1 Lecture 3.7: Optimization; Max/Min Application Problems
Calculus 1 Lecture 3.7: Optimization; Max/Min Application Problems.
Professor Leonard
Introduction to Mathematical Modeling
Introduction to Mathematical Modeling.
IIT Roorkee July 2018
What is the Ant Colony Optimization Algorithm?
You want to dive deep into the world of finance and management? Visit us: ...
Frankfurt School of Finance & Management
Lec 11 | MIT 18.086 Mathematical Methods for Engineers II
Level Set Method View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA More information at ...
MIT OpenCourseWare
Optimization - I (Simulated Annealing)
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
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
JuliaCon 2017 | Julia: The Type of Language for Mathematical Programming | Madeleine Udell
Visit http://julialang.org/ to download Julia.
The Julia Programming Language
JuliaCon 2018 | The JuMP ecosystem for mathematical optimization | Juan Pablo Vielma
JuMP is an award-winning DSL for mathematical optimization that has quickly become the gold-standard for its simplicity, performance, and versatility. A major ...
The Julia Programming Language
Policy Gradient methods and Proximal Policy Optimization (PPO): diving into Deep RL!
In this episode I introduce Policy Gradient methods for Deep Reinforcement Learning. After a general overview, I dive into Proximal Policy Optimization: an ...
Arxiv Insights
KKT Conditions with Inequality Constraints
This 5 minute tutorial solves a quadratic programming (QP) problem with inequality constraints. The Karush-Kuhn-Tucker conditions are used to generate a ...
APMonitor.com
