Name: Algorithms Illuminated: Omnibus Edition
ISBN: 9780999282984

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Algorithms Illuminated: Omnibus Edition

Tim Roughgarden

Hardcover

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In Algorithms Illuminated, Tim Roughgarden teaches the basics of algorithms in the most accessible way imaginable. This Omnibus Edition contains the complete text of Parts 1-4, with thorough coverage of asymptotic analysis, graph search and shortest paths, data structures, divide-and-conquer algorithms, greedy algorithms, dynamic programming, and NP-hard problems. Hundreds of worked examples, quizzes, and exercises, plus comprehensive online videos, help readers become better programmers; sharpen their analytical skills; learn to think algorithmically; acquire literacy with computer science's greatest hits; and ace their technical interviews.

Book Details

Publisher: Soundlikeyourself Publishing
Publish Date: Sep 15th, 2022
Pages: 690
Language: English
Edition: undefined - undefined
Dimensions: 10.08in - 7.17in - 1.89in - 3.50lb
EAN: 9780999282984
Categories: • Programming - Algorithms

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About the Author

Roughgarden, Tim: - Tim Roughgarden is a Professor of Computer Science at Columbia University. His research, teaching, and expository writings have been recognized by a Presidential Early Career Award for Scientists and Engineers, the ACM Grace Murray Hopper Award, the EATCS-SIGACT Gödel Prize, a Guggenheim Fellowship, the INFORMS Lancaster Prize, and a Tau Beta Pi Teaching Award. His other books include Twenty Lectures on Algorithmic Game Theory (2016) and Beyond the Worst-Case Analysis of Algorithms (2021).

More books by Tim Roughgarden

Book Cover for: Algorithms Illuminated (Part 1): The Basics, Tim Roughgarden

Book Cover for: Algorithms Illuminated (Part 2): Graph Algorithms and Data Structures, Tim Roughgarden

Book Cover for: Algorithms Illuminated (Part 3): Greedy Algorithms and Dynamic Programming, Tim Roughgarden

Book Cover for: Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems, Tim Roughgarden

Book Cover for: Twenty Lectures on Algorithmic Game Theory, Tim Roughgarden

Book Cover for: Communication Complexity (for Algorithm Designers), Tim Roughgarden

Book Cover for: Algoritmos iluminados (Primera parte): Conceptos básicos, Tim Roughgarden

Book Cover for: Algoritmos iluminados (Tercera parte): Algoritmos voraces y programación dinámica, Tim Roughgarden

Book Cover for: Selfish Routing and the Price of Anarchy, Tim Roughgarden

Book Cover for: Complexity Theory, Game Theory, and Economics: The Barbados Lectures, Tim Roughgarden

Book Cover for: Algoritmos iluminados (Cuarta parte): Algoritmos para problemas NP-complejos, Tim Roughgarden

What people are saying

Jacek Laskowski @jaceklaskowski@fosstodon.org

@jaceklaskowski

2 years

IT Freelancer | #ApacheSpark #DeltaLake #Databricks #ApacheKafka #KafkaStreams | Java Champion | @theASF | #DatabricksBeacons

Just finished Part 1 and ready for Part 2 of Algorithms Illuminated book series by @Tim_Roughgarden It's been a very refreshing experience after my studies years ago when I didn't find it as interesting at all and even boring 🙄 #algorithms #reading #books https://t.co/mYJZUo4Uk7

Assistant Prof of CS @UWaterloo, Faculty @VectorInst, Canada @CIFAR_News AI Chair. Co-EiC @TmlrOrg. I lead @TheSalonML. Privacy, robustness, machine learning.

Excited to find @Tim_Roughgarden's Algorithms Illuminated in my mailbox! Took a quick look and seems like an excellent book for learning from (as opposed to a reference manual...). I like the intuitions, exercises, and conversational style. Will try it next time I'm teaching! https://t.co/gVGBJmefTU

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Praise for this book

'Algorithms Illuminated is academic gold for both students and instructors. The most incredible thing about this book is the way it reaches different types of learners. Beginning students love the approach of getting exposed to complex material slowly and methodically, with lots of intuition and illustrations; advanced students can focus their energy on the formal treatment, going back to the intuition as needed. I love this book because it makes very difficult concepts accessible to everyone.' Thomas Cook, US Military Academy at West Point

'This fabulous book is an ideal introduction to the design and analysis of algorithms. Algorithms Illuminated stands out for its accessible and readable style, with plenty of examples, quizzes and problems for students to check their understanding. The clarity of the exposition brings out the beautiful ideas at the core of the subject. I highly recommend Algorithms Illuminated to anyone starting out with algorithms!' Mary Wootters, Stanford University

'Tim Roughgarden's Algorithms Illuminated is a well-crafted, thorough, and engaging presentation of algorithms on a wide range of topics. The chapters on NP-hard problems are particularly remarkable, as they overturn the conventional wisdom that this topic is too hard for students to understand. I have found that my students really benefit from this approach and strongly recommend these books to others.' Avraham Leff, Yeshiva College

'Look through the Table of Contents and you might conclude that this is just another algorithms book. Don't be fooled. What makes this book special - what makes this book the first of its kind - is Tim Roughgarden's singular ability to weave algorithm design with pedagogical design. Learners need opportunities to check their understanding at key points, to study examples, to see algorithms in contexts that they care about, to confront the needed mathematical background buffered by these motivating contexts. It's all here, carried along by Roughgarden's enthusiasm not only for algorithms but also for the people who want to learn them.' Daniel Zingaro, University of Toronto

'In my experience, students find Algorithms Illuminated much more relatable and motivating to read than other algorithms books. The presentation style is very modern and honest: complicated ideas are broken into digestible chunks with the explicit recognition that the reader is indeed facing deep content; pseudocode, proofs, and mathematical techniques are presented truthfully without hiding "technical/boring" details; and every problem is well-motivated with the actual reasons that computer scientists care about it. The reader gets the feeling that the book is talking directly to them and inviting them to be part of the story, not just a guest who looks at the highlights and moves on.' Saray Shai, Wesleyan College

What people are saying

Jacek Laskowski @jaceklaskowski@fosstodon.org

@jaceklaskowski

2 years

IT Freelancer | #ApacheSpark #DeltaLake #Databricks #ApacheKafka #KafkaStreams | Java Champion | @theASF | #DatabricksBeacons

Assistant Prof of CS @UWaterloo, Faculty @VectorInst, Canada @CIFAR_News AI Chair. Co-EiC @TmlrOrg. I lead @TheSalonML. Privacy, robustness, machine learning.

twitter.com