Constrained Optimization: Intuition behind the Lagrangian
This video introduces a really intuitive way to solve a constrained optimization problem using Lagrange multipliers. We can use them to find the minimum or maximum of a function, J(x), subject to the constraint C(x) = 0. Want to see all of the references in a nice, organized list? Check out this journey on Resourcium: https://bit.ly/3KRxuOf MATLAB Example: Problem-based constrained optimization: https://bit.ly/2Ll5wyk -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2023 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
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