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Lower Bounds Using Information Theory Tools
Advanced Level

Lower Bounds Using Information Theory Tools

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Lower Bounds Using Information Theory Tools

Learn about the principles of utilising information theory tools for deriving lower bounds with this free online course.
We primarily use upper bounds for advertising the popularity of an algorithm. However, what if one wants to argue that no other algorithm can be better or perhaps that some problem is so hard that one can't p... We primarily use upper bounds for advertising the popularity of an algorithm. However, what if one wants to argue that no other algorithm can be better or perhaps that some problem is so hard that one can't possibly hope to find a suitable solution? This idea implies the need for a lower bound. Begin this course and learn about the procedure for establishing lower bounds for estimation problems through concise information-theoretic arguments.

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