Lecture

Problem Solving Strategies: General Overview

Description

This lecture introduces methods for problem-solving, focusing on 'Divide and Conquer', recursion, and dynamic programming. It explains how to design algorithms to solve given problems, emphasizing the importance of analyzing similarities with known problems and different problem-solving approaches.

Instructor

et enim

Exercitation deserunt excepteur laborum mollit non anim in exercitation esse ad cupidatat fugiat aute nostrud. Cillum amet ex culpa ullamco tempor laboris nostrud tempor mollit dolor ullamco laborum. Aute adipisicing mollit ipsum consequat in Lorem. Consectetur sit sunt laboris amet ipsum laborum anim Lorem. Ex magna deserunt adipisicing incididunt nulla et nisi amet adipisicing elit fugiat mollit. Nisi veniam fugiat qui et consectetur anim irure adipisicing aute. Magna ex deserunt ex duis voluptate dolor amet anim in amet aliqua.

Official source

https://mediaspace.epfl.ch/media/0_us78yi3t

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.

Ontological neighbourhood

Theoretical computer science

Algorithms and data structures: Analysis of algorithms

Programming language theory: High-level programming languages

Related lectures (40)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.