LEADER 04081nam 2200505 450 001 9910819488403321 005 20200520144314.0 010 $a1-78953-375-9 035 $a(CKB)4100000006096425 035 $a(Safari)9781789537178 035 $a(OCoLC)1050953508 035 $a(OCoLC)on1050953508 035 $a(Au-PeEL)EBL5520882 035 $a(CaSebORM)9781789537178 035 $a(MiAaPQ)EBC5520882 035 $a(PPN)23010908X 035 $a(EXLCZ)994100000006096425 100 $a20190129d2018 uy 0 101 0 $aeng 135 $aurcnu|||uuuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBeginning Java data structures and algorithms $esharpen your problem solving skills by learning core computer science concepts in a pain-free manner /$fJames Cutajar 205 $aFirst edition 210 1$aBirmingham :$cPackt,$d2018. 215 $a1 online resource (1 volume) $cillustrations 311 1 $a1-78953-717-7 327 $a1. Algorithms and Complexities -- 2. Sorting Algorithms and Fundamental Data Structures -- 3. Hash Tables and Binary Search Trees -- 4. Algorithm Design -- 5. Paradigms -- 5. String Matching Algorithms -- 7. Graphs, Prime Numbers, and Complexity Classes Other Books You May Enjoy. 330 $aThough 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 Features Explains in detail different algorithms and data structures with sample problems and Java implementations where appropriate Includes interesting tips and tricks that enable you to efficiently use algorithms and data structures Covers over 20 topics using 15 practical activities and exercises Book Description 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. What you will learn Understand some of the fundamental concepts behind key algorithms Express space and time complexities using Big O notation. Correctly implement classic sorting algorithms such as merge and quicksort Correctly implement basic and complex data structures Learn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programming Apply powerful string matching techniques and optimize your application logic Master graph representations and learn about different graph algorithms Who this book is for 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. 606 $aJava (Computer program language) 606 $aData structures (Computer science) 606 $aComputer algorithms 615 0$aJava (Computer program language) 615 0$aData structures (Computer science) 615 0$aComputer algorithms. 676 $a005.133 700 $aCutajar$b James$01634893 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910819488403321 996 $aBeginning Java data structures and algorithms$93975331 997 $aUNINA