13_1 An Introduction to Optimization in Multivariable Functions
Optimization in multivariable functions: the calculation of critical points and identifying them as local or global extrema (minima or maxima).
From playlist Advanced Calculus / Multivariable Calculus
OPTIMIZATION: Sales level that maximizes revenue
► My Applications of Derivatives course: https://www.kristakingmath.com/applications-of-derivatives-course Optimization problems are an application of derivatives in calculus that allow us to find the local and global extrema of a function, including the local and global minima and the lo
From playlist Calculus I
OPTIMIZATION: Dimensions that minimize page size with a given printed area
► My Applications of Derivatives course: https://www.kristakingmath.com/applications-of-derivatives-course Optimization problems are an application of derivatives in calculus that allow us to find the local and global extrema of a function, including the local and global minima and the lo
From playlist Calculus I
OPTIMIZATION: Production level, sale price that maximize profit
► My Applications of Derivatives course: https://www.kristakingmath.com/applications-of-derivatives-course Optimization problems are an application of derivatives in calculus that allow us to find the local and global extrema of a function, including the local and global minima and the lo
From playlist Calculus I
OPTIMIZATION: Dimensions that maximize the volume of a box
► My Applications of Derivatives course: https://www.kristakingmath.com/applications-of-derivatives-course Optimization problems are an application of derivatives in calculus that allow us to find the local and global extrema of a function, including the local and global minima and the lo
From playlist Calculus I
OPTIMIZATION: Dimensions that minimize the surface area of an open top box
► My Applications of Derivatives course: https://www.kristakingmath.com/applications-of-derivatives-course Optimization problems are an application of derivatives in calculus that allow us to find the local and global extrema of a function, including the local and global minima and the lo
From playlist Calculus I
Ex 2: Absolute Extrema on an Open Interval
This video provides an example of how to determine absolute extrema of a function on an open interval. Complete video library at www.mathispower4u.com
From playlist Differentiation Application - Absolute Extrema
OPTIMIZATION: Point on the line closest to another point
► My Applications of Derivatives course: https://www.kristakingmath.com/applications-of-derivatives-course Optimization problems are an application of derivatives in calculus that allow us to find the local and global extrema of a function, including the local and global minima and the lo
From playlist Calculus I
Calculus 3 Lecture 13.8: Finding Extrema of Functions of 2 Variables (Max and Min)
Calculus 3 Lecture 13.8: Finding Extrema of Functions of 2 Variables (Max and Min): How to find Relative (Local) and Absolute Extrema of 2 Variable Functions. Optimization is also discussed.
From playlist Calculus 3 (Full Length Videos)
Extremum Seeking Control Applications
This lecture highlights some of the many applications of extremum-seeking control (ESC) performed by myself and collaborators. Maximum power point tracking for photovoltaic optimization using ripple-based extremum seeking control S. L. Brunton, C. W. Rowley, S. R. Kulkarni, and C. Clar
From playlist Data-Driven Control with Machine Learning
GPDE Workshop - External doubly stochastic measures and optimal transportation
Robert McCann University of Toronto February 23, 2009 For more videos, visit http://video.ias.edu
From playlist Mathematics
This lecture provides an overview of extremum-seeking control (ESC), which is an adaptive equation free method of controlling nonlinear systems. A sinusoidal perturbation is added to the controller, and this perturbation allows the algorithm to locally optimize an objective function. R
From playlist Data-Driven Control with Machine Learning
Sean Kafer: Performance of steepest descent in 0/1 LPs
Even after decades of study, it is unknown whether there exists a pivot rule for the Simplex method that always solves an LP with only a polynomial number of pivots. This remains unknown even in the special case of 0/1 LPs, a case that includes many extensively studied problems in combinat
From playlist Workshop: Tropical geometry and the geometry of linear programming
Giuseppe Buttazzo - Tribute to Ennio De Giorgi - 19 September 2016
Buttazzo, Giuseppe "Worst-case shape optimization problems for the Dirichlet energy"
From playlist A Mathematical Tribute to Ennio De Giorgi
The mother of all representer theorems for inverse problems & machine learning - Michael Unser
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Lexing Ying: "Strictly-correlated Electron Functional and Multimarginal Optimal Transport"
Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop II: Tensor Network States and Applications "Strictly-correlated Electron Functional and Multimarginal Optimal Transport" Lexing Ying - Stanford University, Mathematics Abstract: We introduce methods
From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021
Absolute Extrema of Transcendental Functions
This video provides additional examples of how to determine absolute extrema of transcendental functions on a closed interval. http://mathispower4u.wordpress.com/
From playlist Differentiation Application - Absolute Extrema