Computing Limits from a Graph with Infinities
In this video I do an example of computing limits from a graph with infinities.
From playlist Limits
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
V4-02. Linear Programming. Definition of the Dual problem.
Math 484: Linear Programming. Definition of the Dual problem. Wen Shen, 2020, Penn State University
From playlist Math484 Linear Programming Short Videos, summer 2020
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
Limit doesn't exist 2 variables example
Example of how to show a limit doesn't exist for a function of 2 variables.
From playlist Engineering Mathematics
Statistical Mechanics Lecture 3
(April 15, 20123) Leonard Susskind begins the derivation of the distribution of energy states that represents maximum entropy in a system at equilibrium. Originally presented in the Stanford Continuing Studies Program. Stanford University: http://www.stanford.edu/ Continuing Studies P
From playlist Course | Statistical Mechanics
Thermodynamic limits in cellular information processing by Jeremy Gunawardena
Program Statistical Biological Physics: From Single Molecule to Cell (ONLINE) ORGANIZERS: Debashish Chowdhury (IIT Kanpur), Ambarish Kunwar (IIT Bombay) and Prabal K Maiti (IISc, Bengaluru) DATE: 07 December 2020 to 18 December 2020 VENUE: Online 'Fluctuation-and-noise' are themes
From playlist Statistical Biological Physics: From Single Molecule to Cell (Online)
Exact solution for single-file diffusion by Kirone Mallick
PROGRAM: INTEGRABLE SYSTEMS IN MATHEMATICS, CONDENSED MATTER AND STATISTICAL PHYSICS ORGANIZERS: Alexander Abanov, Rukmini Dey, Fabian Essler, Manas Kulkarni, Joel Moore, Vishal Vasan and Paul Wiegmann DATE : 16 July 2018 to 10 August 2018 VENUE: Ramanujan Lecture Hall, ICTS Bangalore
From playlist Integrable systems in Mathematics, Condensed Matter and Statistical Physics
Dynamics and Economy of Molecular Machines (Lecture 2) by Stefan Klumpp
PROGRAM STATISTICAL BIOLOGICAL PHYSICS: FROM SINGLE MOLECULE TO CELL ORGANIZERS: Debashish Chowdhury (IIT-Kanpur, India), Ambarish Kunwar (IIT-Bombay, India) and Prabal K Maiti (IISc, India) DATE: 11 October 2022 to 22 October 2022 VENUE: Ramanujan Lecture Hall 'Fluctuation-and-noise' a
From playlist STATISTICAL BIOLOGICAL PHYSICS: FROM SINGLE MOLECULE TO CELL (2022)
Mean field theory of the glass transition (Lecture 2) by Francesco Zamponi
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
Lecture 9 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd concludes his lecture on primal and dual decomposition methods. This course introduces topics such as subgradient, cutting-plane, and ellipsoid method
From playlist Lecture Collection | Convex Optimization
Linear Programming Solution on Vertices Proof
The maximum or minimum solution to a linear programming problem is always on a vertex of the feasible region. This video explores an intuition for why this is the case.
From playlist Fun
Large deviations of Markov processes (Part 2) by Hugo Touchette
Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst
From playlist Large deviation theory in statistical physics: Recent advances and future challenges
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
Optimal Transport Methods and Applications to Statistics and... (Lecture 2) by Jose Blanchet
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019
13_2 Optimization with Constraints
Here we use optimization with constraints put on a function whose minima or maxima we are seeking. This has practical value as can be seen by the examples used.
From playlist Advanced Calculus / Multivariable Calculus
Current fluctuations in biomolecular systems by Udo Seifert
PROGRAM URL : http://www.icts.res.in/program/NESP2015 DATES : Monday 26 Oct, 2015 - Friday 20 Nov, 2015 VENUE : Ramanujan Lecture Hall, ICTS Bangalore DESCRIPTION : This program will be organized as an advanced discussion workshop on some topical issues in nonequilibrium statstical phys
From playlist Non-equilibrium statistical physics
Integrability in the Laplacian Growth Problem by Eldad Bettelheim
Program : Integrable systems in Mathematics, Condensed Matter and Statistical Physics ORGANIZERS : Alexander Abanov, Rukmini Dey, Fabian Essler, Manas Kulkarni, Joel Moore, Vishal Vasan and Paul Wiegmann DATE & TIME : 16 July 2018 to 10 August 2018 VENUE : Ramanujan L
From playlist Integrable systems in Mathematics, Condensed Matter and Statistical Physics
Setting up a linear programming problem by identifying the feasible region
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