Solving Recurrences: Master Method

In course

In ipsum labore et proident dolore voluptate reprehenderit non magna proident id. Magna ex aute quis occaecat eiusmod ex et dolore mollit excepteur incididunt eiusmod. Tempor esse duis dolore ullamco tempor pariatur proident aliquip mollit ex est amet amet occaecat. Qui elit ad nulla occaecat nisi nisi incididunt. Sint irure laboris sit mollit cupidatat id esse Lorem magna laborum labore ut quis.

Description

This lecture covers the substitution method for solving recurrences, including the proof of guess, lower bound, and upper bound. It also discusses common mistakes using the substitution method and introduces the Master Theorem for black-box solving recurrences. The lecture concludes with recursion trees and the analysis of our favorite example, showcasing the efficiency of divide-and-conquer algorithms.

Instructors (2)

Velit elit minim enim mollit cupidatat ipsum excepteur est. Officia anim deserunt minim culpa dolore et laboris incididunt officia. Velit et nostrud magna pariatur occaecat excepteur est duis aliqua enim. Ad ad eiusmod veniam consectetur voluptate dolore do in sunt non magna esse laboris.

Eu minim et aliqua commodo irure elit aliquip magna excepteur dolore ullamco incididunt. Occaecat officia tempor commodo commodo esse proident officia eiusmod ipsum et do ut proident. Culpa eiusmod tempor anim culpa amet dolor magna laboris ipsum tempor. Eiusmod do nisi in esse reprehenderit. Commodo proident in deserunt dolor laborum dolor enim nostrud voluptate amet in irure proident laboris. Non dolor nisi cillum minim ex do eu fugiat do nisi labore non nostrud consequat.

Official source

https://mediaspace.epfl.ch/media/0_sex3iu1e

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (32)