Linear Programming. Lecture 18. Complementary Slackness Theorem. Sensitivity Analysis introduction.

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October 25, 2016. Penn State University.
  1. wenshenpsu
  2. Linear Programming
  3. Wen Shen
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Комментарии
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Clearest explanation ever. Thanks so much!

jacobm
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Thank you ma'am, i was preparing for my examination and found your video which help me a lot

RahulRoy-pwcb
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Thank you for making this clear. My uni lecturer kind of glided over this with too much theory not really explaining it. 44 mins in when you said that its the slack dotted with the variable vector made it all clear.

bigrice
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Thank you so much! I have a optimization analytics course, but my professor goes through everything quickly and unclear. Your lecture is such a good explanation for both theory and examples.

yiyichen
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Thank you so much!!! The old school teaching style and examples you used in your lecture helped me a ton (the last time I've taken any math related courses was 10+ years ago).

yiyit
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you are the only person that made this make sense!!! i searched everywhere on google, chegg.com and all my textbook pages but could not find ANYTHING. so thank you SO MUCH.

wendydarling
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For the second constraint of the dual isnt that supposed to be just y2 instead of 2y2

aineshbalaga
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Love from TUDelft, such an easy explanation, some explanations make simple topics hard :S

dARKfnXx
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My professors blackboard looks like a mad mans plot to take over the world when he is done. Hers look so good!

quidquopro
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You are so helpful! Thank you! I am taking this course now at PSU. I wish I had you!

didom.
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how do you know the equations that wont help?

solexbesty
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Thank you Professor! Your explanation is very effective.

fcentauri
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wenshenpsu you are amazing <3 Your explanation is very effective.

TheTiktok
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The explanation is great and clear. However, At 40:50 should the dual constrains all to be "smaller than or equal to" because x1 to x4 are all larger than or equal to 0?

nuscashier
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Good day madam, at 46:09 how do you know if inequalities 2 and 4 couldn't help you therefore you must stretch them out.

snoxolongqokoma
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