While many computer science textbooks are confined to teaching programming code and languages, Algorithms and Data Structures: The Science of Computing takes a step back to introduce and explore algorithms - the content of the code. Focusing on three core topics: design (the architecture of algorith
Algorithms & Data Structures: The Science Of Computing
โ Scribed by Douglas Baldwin, Greg W. Scragg
- Publisher
- MIX
- Year
- 2004
- Tongue
- English
- Leaves
- 620
- Series
- Electrical and Computer Engineering Series
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
While many computer science textbooks are confined to teaching programming code and languages, Algorithms and Data Structures: The Science of Computing takes a step back to introduce and explore algorithms -- the content of the code. Focusing on three core topics: design (the architecture of algorithms), theory (mathematical modeling and analysis), and the scientific method (experimental confirmation of theoretical results), the book helps students see that computer science is about problem solving, not simply the memorization and recitation of languages. Unlike many other texts, the methods of inquiry are explained in an integrated manner so students can see explicitly how they interact. Recursion and object oriented programming are emphasized as the main control structure and abstraction mechanism, respectively, in algorithm design. Designed for the CS2 course, the book includes text exercises and has laboratory exercises at the supplemental Web site.
Features: * Reflects the principle that computer science is not solely about learning how to speak in a programming languages * Covers recursion, binary trees, stacks, queues, hash tables, and object-oriented algorithms * Written especially for CS2 students * Accompanying Web site includes lab exercises, code, and instructor's notes,
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xx, 620 p. : 24 cm
Unlock the Power of Algorithmic Wizardry and Data Structures Galore! In the ever-evolving landscape of technology, algorithms and data structures are the unsung heroes behind every remarkable software, application, or system you encounter. They are the magic wand that transforms complex problems in
While many computer science textbooks are confined to teaching programming code and languages, Algorithms and Data Structures: The Science of Computing takes a step back to introduce and explore algorithms -- the content of the code. Focusing on three core topics: design (the architecture of algorit
The formulas of (1.3), (1.4), (1.5),(1.6) are all wrong! Can't believe it, four formulas in first page are all have errors. Maybe the author fell so sleepy when he's writing this book!
This book explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmer