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Data Structures Featuring C++ A Programmer's Perspective: Data Structures in C++ By Sridhar Radhakrishnan, Lee Wise, Chandra N. Sekharan
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- Sales Rank: #726892 in Books
- Published on: 2013-03-29
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 1.87" w x 7.50" l, 3.07 pounds
- Binding: Paperback
- 826 pages
About the Author
Sridhar Radhakrishnan is a Professor in the School of Computer Science at The University of Oklahoma, Norman, Oklahoma since the Fall of 1990. Prior to joining The University of Oklahoma, he completed his PhD degree in Computer Science from Louisiana State University, Baton Rouge, Louisiana. He has been teaching the Sophomore level course in Data Structures for many years that resulted in the creation of this textbook. He has published widely and his publications appear in numerous IEEE publications and other professional conferences and journals. Lee Wise has been a software architect and analytics developer for MSCI, Inc., and a predecessor company, RiskMetrics Group, Inc., since 1998. Her particular project, written in C++, has grown from the work of a single programmer to the work of dozens spread across the planet, and from a monolithic program running on a single box to distributed applications running on thousands of cores, handling terabytes of data and processing millions of complex queries per day. Chandra N. Sekharan is a Professor in the Department of Computer Science, Loyola University Chicago. Prior to joining Loyola University Chicago in 1993, he was with the Center for Parallel Computation, Department of Computer Science at University of Central Florida, Orlando. He completed his PhD degree in Mathematical Sciences at Clemson University under the supervision of Stephen Hedetniemi. Prof. Sekharan has taught many courses in computer science at both undergraduate and graduate levels. His recent focus in teaching has been on introducing concepts of parallel computing in the CS2 course at Loyola. He has published in IEEE and ACM conferences extensively in the areas of parallel computation, graph algorithms and mobile networking.
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