| 000 | 02310nam a2200241Ia 4500 | ||
|---|---|---|---|
| 003 | NULRC | ||
| 005 | 20250520102819.0 | ||
| 008 | 250520s9999 xx 000 0 und d | ||
| 020 | _a9780134076423 | ||
| 040 | _cNULRC | ||
| 050 | _aQA 76.9 .S43 2017 | ||
| 100 |
_aSedgewick, Robert _eauthor |
||
| 245 | 0 |
_aComputer science : _ban interdisciplinary approach / _cRobert Sedgewick and Kevin Wayne |
|
| 260 |
_aBoston, Massachusetts : _bAddision-Wesley Publishing Company, _cc2017 |
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| 300 |
_axix, 1146 pages : _billustrations ; _c24 cm. |
||
| 365 | _bUSD53.96 | ||
| 504 | _aIncludes index. | ||
| 505 | _aElements of programming -- Functions and modules -- Object-oriented programming -- Algorithms and data structures -- Theory of computing -- A Computing machine -- Building a computing device | ||
| 520 | _aIdeal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today's environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation's performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field's history and evolution. | ||
| 650 | _aCOMPUTER SCIENCE -- TEXTBOOKS | ||
| 700 |
_aWayne, Kevin _eco-author |
||
| 942 |
_2lcc _cBK |
||
| 999 |
_c15997 _d15997 |
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