Data Structures and Algorithms in Java, 6ed, (An Indian Adaptation)
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Data Structures and Algorithms in Java offers a comprehensive, definitive introduction to data structures and algorithms, including their design, analysis, and implementation in Java. The contents of the book are organized to provide a pedagogical path that starts with the basics of Java programming and object-oriented design and foundational techniques such as algorithm analysis and recursion. The book then presents fundamental data structures, such as arrays, linked lists, stacks, queues, trees, heaps, maps, hash tables, search trees, and graphs, concluding with a discussion on searching and sorting algorithms and memory management. The book incorporates a host of pedagogical features, including illustrations, code fragments, and end-of-chapter exercises. ·Introduction to Java ·Object-Oriented Programming ·Introduction to Data Structures and Algorithms ·Arrays and Linked Lists ·Recursion ·Stacks and Queues ·List Abstractions ·Trees ·Priority Queues and Heaps ·Maps, Hash Tables, and Skip Lists ·Search Trees ·Graphs ·Strings and Dynamic Programming ·Sorting and Selection ·Additional Topics
Michael T. Goodrich is a Chancellor’s Professor in the Department of Computer Science at University of California, Irvine. Previously, he was a professor at Johns Hopkins University. His research interests include analysis, design, and implementation of algorithms, data security, cloud computing, graph drawing, and computational geometry. He is a Fulbright scholar and a fellow of the American Association for the Advancement of Science (AAAS), Association for Computing Machinery (ACM), and Institute of Electrical and Electronics Engineers (IEEE). Roberto Tamassia is the Plastech Professor of Computer Science in the Department of Computer Science at Brown University. He is also the Director of Brown’s Center for Geometric Computing. His research interests include data security, applied cryptography, cloud computing, analysis, design, and implementation of algorithms, graph drawing, and computational geometry. He is a fellow of the American Association for the Advancement of Science (AAAS), Association for Computing Machinery (ACM), and Institute of Electrical and Electronics Engineers (IEEE). Michael Goldwasser is currently a Professor in the Department of Mathematics and Computer Science at Saint Louis University and the Director of their Computer Science program. Previously, he was a faculty member in the Department of Computer Science at Loyola University Chicago. His research interests focus on the design and implementation of algorithms, having published work involving approximation algorithms, online computation, computational biology, and computational geometry.
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