(Original PDF) Algorithm Design and Applications by Michael T. Goodrich – Digital Ebook – Instant Delivery Download
product details:
- ISBN-10 : 1118335910
- ISBN-13 : 978-1118335918
- Author:
Introducing a NEW addition to our growing library of computer science titles, Algorithm Design and Applications, by Michael T. Goodrich & Roberto Tamassia! Algorithms is a course required for all computer science majors, with a strong focus on theoretical topics. Students enter the course after gaining hands-on experience with computers, and are expected to learn how algorithms can be applied to a variety of contexts. This new book integrates application with theory.
Goodrich & Tamassia believe that the best way to teach algorithmic topics is to present them in a context that is motivated from applications to uses in society, computer games, computing industry, science, engineering, and the internet. The text teaches students about designing and using algorithms, illustrating connections between topics being taught and their potential applications, increasing engagement.
table of contents:
1 AlgorithmAnalysis
2 BasicDataStructures
3 BinarySearchTrees
4 BalancedBinarySearchTrees
5 PriorityQueuesandHeaps
6 HashTables
7 Union-FindStructures
8 Merge-SortandQuick-Sort
9 FastSortingandSelection
10 The Greedy Method
11 Divide-and-Conquer
12 Dynamic Programming
13 Graphs and Traversal
14 Shortest Paths
15 Minimum Spanning Trees
16 Network Flow and Matching
17 NP-Completeness
18 Approximation Algorithms
19 Randomized Algorithms
20 B-Trees and External-Memory
21 Multi-Dimensional Searching
22 Computational Geometry
23 String Algorithms
24 Cryptography
25 The Fast Fourier Transform
26 Linear Programming
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