Calculus: Maximum-Minimum Problems With Two Variables
This video discusses how to find maximum and minimum values of a function of two variables using the second derivative test ("D-test").
From playlist Calculus
Multivariable Maximum and Minimum Problems
In this video, we will work through several examples of problems where we find critical points of multivariable functions and test them to find local maximum and local minimum points.
From playlist Multivariable Calculus
Learning to determine the minimum value of an objective function
Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of inequalities, called the constraints. To solve a linear programming problem graphically,
From playlist Solve Linear Programming Problems #System
How to maximize an objective function for linear programming
Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of inequalities, called the constraints. To solve a linear programming problem graphically,
From playlist Solve Linear Programming Problems #System
This video will show how to determine the extrema of a function with three independent variables. http://mathispower4u.wordpress.com/
From playlist Functions of Several Variables - Calculus
Review of Linear Time Invariant Systems
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Review: systems, linear systems, time invariant systems, impulse response and convolution, linear constant-coefficient difference equations
From playlist Introduction and Background
Linear programming how to optimize the objective function
Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of inequalities, called the constraints. To solve a linear programming problem graphically,
From playlist Solve Linear Programming Problems #System
Maximum and Minimum Values (Closed interval method)
A review of techniques for finding local and absolute extremes, including an application of the closed interval method
From playlist 241Fall13Ex3
Abhishek Singharoy - Cryo-EM: Ensemble refinement, free-energy landscapes and molecular dynamics
Recorded 17 November 2022. Abhishek Singharoy of Arizona State University West presents "Cryo-EM and beyond: Ensemble refinement, free-energy landscapes and molecular dynamics" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: Molecular dynamics flexible fitting is popularl
From playlist 2022 Cryo-Electron Microscopy and Beyond
Linear Programming, Lecture 9. Artificial Variables;
Sept 20, 2016. Penn State University.
From playlist Math484, Linear Programming, fall 2016
MLDS 2020 - 3 Boltzmann Generators
From playlist MLDS
ETH Lec 06. Stochastic Growth Models I (29/03/2012)
Course: ETH - Collective Dynamics of Firms (Spring 2012) From: ETH Zürich Source: http://www.video.ethz.ch/lectures/d-mtec/2012/spring/363-0543-00L/b0cfc537-1b86-4d4c-88c3-ce932c1156c1.html
From playlist ETH Zürich: Collective Dynamics of Firms (Spring 2012) | CosmoLearning.org Finance
V3-20. Linear Programming. Artificial variables. Example AV1.
Math 484: Linear Programming. Artificial variables. Example AV1. Wen Shen, 2020, Penn State University
From playlist Math484 Linear Programming Short Videos, summer 2020
Elisa Gorla: Complexity of Groebner bases computations and applications to cryptography - lecture 1
CIRM VIRTUAL EVENT Recorded during the meeting "French Computer Algebra Days" the March 02, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Audio
From playlist Virtual Conference
Live CEOing Ep 391: Optimization Features Review for Wolfram Language [12.2]
In this episode of Live CEOing, Stephen Wolfram reviews the optimizations features for the Wolfram Language in Version 12.2. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen
From playlist Behind the Scenes in Real-Life Software Design
Phenomenology of glass forming liquids and glasses (Lecture 2) by Srikanth Sastry
PROGRAM ENTROPY, INFORMATION AND ORDER IN SOFT MATTER ORGANIZERS: Bulbul Chakraborty, Pinaki Chaudhuri, Chandan Dasgupta, Marjolein Dijkstra, Smarajit Karmakar, Vijaykumar Krishnamurthy, Jorge Kurchan, Madan Rao, Srikanth Sastry and Francesco Sciortino DATE: 27 August 2018 to 02 Novemb
From playlist Entropy, Information and Order in Soft Matter
PROGRAM: Nonlinear filtering and data assimilation DATES: Wednesday 08 Jan, 2014 - Saturday 11 Jan, 2014 VENUE: ICTS-TIFR, IISc Campus, Bangalore LINK:http://www.icts.res.in/discussion_meeting/NFDA2014/ The applications of the framework of filtering theory to the problem of data assimi
From playlist Nonlinear filtering and data assimilation
Learning how to find the maximum value of an objective function
Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of inequalities, called the constraints. To solve a linear programming problem graphically,
From playlist Solve Linear Programming Problems #System
Simple models of monsoon bifurcation and global warming by Ashwin K Seshadri
DISCUSSION MEETING: WORKSHOP ON CLIMATE STUDIES (HYBRID) ORGANIZERS: Rama Govindarajan (ICTS-TIFR, India), Sandeep Juneja (TIFR, India), Ramalingam Saravanan (Texas A&M University, USA) and Sandip Trivedi (TIFR, India) DATE : 01 March 2022 to 03 March 2022 VENUE: Ramanujan Lecture Hall
From playlist Workshop on Climate Studies - 2022
Calculus: Absolute Maximum and Minimum Values
In this video, we discuss how to find the absolute maximum and minimum values of a function on a closed interval.
From playlist Calculus