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Constrained Optimization Lecture II Part 1: Two Variables, One Inequality Constraint 

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We describe the behavior of the Lagrangian given a single inequality constraint.

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17 сен 2024

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Комментарии : 8   
@pedrocolangelo5844
@pedrocolangelo5844 3 года назад
Your lecture is absolutely amazing, sir. Thank you for that!
@preetkanwalsingh3532
@preetkanwalsingh3532 8 лет назад
Good Explanation. Thanks!
@muratcan__22
@muratcan__22 5 лет назад
perfect explanation
@kadrogo601
@kadrogo601 8 лет назад
Thank u for the good lecture. I have a question: you set the lambda to be greater than or equal to zero but in the calculus textbook it does not have that kind of lambda constraint. However, when I study Linear Regression Analysis I need to have your lambda condition for calculating Ridge Regression Estimator. Why do you have this constraint? If your constraint is right, then should the lambda be less than or equal to zero when minimizing instead of maximizing? thank you.
@empress0ntombi
@empress0ntombi 9 лет назад
Can you recommend a text that expound on the points you made?
@hendrikvanbrantegem7526
@hendrikvanbrantegem7526 9 лет назад
Empress Ntombi yes please
@eirikkss
@eirikkss 7 лет назад
Math for econ by Simon and Blume
@mathslectures1437
@mathslectures1437 2 года назад
Try this book “ Constrained Optimization and Lagrange Multiplier Methods “
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