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Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. YouGÇÖll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview.
Classic Computer Science Problems in Java will teach you techniques to solve common-but-tricky programming issues. YouGÇÖll explore foundational coding methods, fundamental algorithms, and artificial intelligence topics, all through code-centric Java tutorials and computer science exercises. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your 'new' problems!
Key Features
-+ Recursion, memorization, bit manipulation
-+ Search algorithms
-+ Constraint-satisfaction problems
-+ Graph algorithms
-+ K-means clustering
For intermediate Java programmers.
Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. YouGÇÖll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview.
Classic Computer Science Problems in Java will teach you techniques to solve common-but-tricky programming issues. YouGÇÖll explore foundational coding methods, fundamental algorithms, and artificial intelligence topics, all through code-centric Java tutorials and computer science exercises. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your 'new' problems!
Key Features
-+ Recursion, memorization, bit manipulation
-+ Search algorithms
-+ Constraint-satisfaction problems
-+ Graph algorithms
-+ K-means clustering
For intermediate Java programmers.
David Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Python (Manning, 2019).
Erscheinungsjahr: | 2021 |
---|---|
Fachbereich: | Betriebssysteme & Benutzeroberflächen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781617297601 |
ISBN-10: | 1617297607 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Kopec, David |
Hersteller: | Manning Publications |
Maße: | 236 x 189 x 20 mm |
Von/Mit: | David Kopec |
Erscheinungsdatum: | 12.03.2021 |
Gewicht: | 0,492 kg |
David Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Python (Manning, 2019).
Erscheinungsjahr: | 2021 |
---|---|
Fachbereich: | Betriebssysteme & Benutzeroberflächen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781617297601 |
ISBN-10: | 1617297607 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Kopec, David |
Hersteller: | Manning Publications |
Maße: | 236 x 189 x 20 mm |
Von/Mit: | David Kopec |
Erscheinungsdatum: | 12.03.2021 |
Gewicht: | 0,492 kg |