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Algorithms and Data Structures The Science of Computing Electrical and Computer Engineering Series 1st Edition by Douglas Baldwin, Orit Hazzan, Greg W Scragg ISBN 1584502509 9781584502500

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Algorithms and Data Structures The Science of Computing Electrical and Computer Engineering Series 1st Edition Douglas Baldwin Digital Instant Download

Author(s): Douglas Baldwin, Orit Hazzan, Greg W. Scragg
ISBN(s): 9781584502500, 1584502509
Edition: 1
File Details: PDF, 9.25 MB
Year: 2004
Language: english
SKU: EB-1848456 Category: Tags: , ,

Algorithms and Data Structures The Science of Computing Electrical and Computer Engineering Series 1st Edition by Douglas Baldwin, Orit Hazzan, Greg W Scragg – Ebook PDF Instant Download/Delivery:1584502509, 9781584502500
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Product details: 

ISBN 10: 1584502509 

ISBN 13: 9781584502500

Author: Douglas Baldwin, Orit Hazzan, Greg W Scrag

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.

Table of contents: 

Part I: The Science of Computing’s Three Methods of Inquiry

What is the Science of Computing?

Introduction to algorithms and the discipline’s methods: design, theory, and empirical analysis.

Abstraction: An Introduction to Design

Exploration of objects, classes, and method abstraction.

Proof: An Introduction to Theory

Fundamentals of correctness proofs, proof methods, and efficiency analysis.

Experimentation: An Introduction to the Scientific Method

Designing experiments, analyzing data, and understanding experimental error.

Part II: Program Design 5. Conditionals

Boolean expressions, correctness proofs, and performance analysis.

Designing with Recursion

Recursive thinking, controlling recursion, and ensuring termination.

Analysis of Recursion

Correctness and efficiency analysis of recursive algorithms.

Creating Correct Iterative Algorithms

Loop invariants and correctness proofs for iterative methods.

Iteration and Efficiency

Step counting, execution time analysis, and asymptotic notation.

A Case Study in Design and Analysis: Efficient Sorting

In-depth look at Quicksort and Mergesort algorithms.

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Douglas Baldwin,Orit Hazzan,Greg W Scrag,Algorithms