Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application.
Learning about data structures and algorithms gives you a better insight on how to solve common programming problems. Most of the problems faced everyday by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems.
This book teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You'll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications.
If you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the book for you. It helps to have basic knowledge of Java, mathematics and object-oriented programming techniques.
"synopsis" may belong to another edition of this title.
James Cutajar is a software developer with an interest in scalable, high-performance computing, and distributed algorithms. He is also an author, open source contributor, blogger, and a tech evangelist. When he is not writing software, he is riding his motorbike, surfing, or flying light aircraft. He was born in Malta, lived in London for almost a decade, and is now working in Portugal.
"About this title" may belong to another edition of this title.
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Paperback. Condition: New. Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application.Key FeaturesExplains in detail different algorithms and data structures with sample problems and Java implementations where appropriateIncludes interesting tips and tricks that enable you to efficiently use algorithms and data structuresCovers over 20 topics using 15 practical activities and exercisesBook DescriptionLearning about data structures and algorithms gives you a better insight on how to solve common programming problems. Most of the problems faced everyday by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems.This book teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You'll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications.What you will learnUnderstand some of the fundamental concepts behind key algorithmsExpress space and time complexities using Big O notation.Correctly implement classic sorting algorithms such as merge and quicksortCorrectly implement basic and complex data structuresLearn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programmingApply powerful string matching techniques and optimize your application logicMaster graph representations and learn about different graph algorithmsWho this book is forIf you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the book for you. It helps to have basic knowledge of Java, mathematics and object-oriented programming techniques. Seller Inventory # LU-9781789537178
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