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 occurs when the contour lines of the function being maximized are tangent to the constraint curve.
Видео Lagrange multipliers, using tangency to solve constrained optimization канала Khan Academy
Видео Lagrange multipliers, using tangency to solve constrained optimization канала Khan Academy
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Finishing the intro lagrange multiplier exampleConstrained optimization introductionLagrange Multipliers | Geometric Meaning & Full ExampleLagrange MultipliersThe LagrangianGradient and contour mapsLagrange multipliers (3 variables) | MIT 18.02SC Multivariable Calculus, Fall 2010Calculus 3 Lecture 13.9: Constrained Optimization with LaGrange Multipliers❖ LaGrange Multipliers - Finding Maximum or Minimum Values ❖Lagrange multipliers in three dimensions with two constraints (KristaKingMath)Constrained Optimization and Lagrange Method (Proof)Was 2020 A Simulation? (Science & Math of the Simulation Theory)Lagrange multiplier example, part 1Why do colliding blocks compute pi?Why the gradient is the direction of steepest ascentLinear Programming (Optimization) 2 Examples Minimize & MaximizeImplicit differentiation, what's going on here? | Chapter 6, Essence of calculusFirst Order Partial Differential Equation -Solution of Lagrange FormLagrange's Method of Undetermined Multipliers Problem No.1 - Maxima and Minima - Engineering Maths 1