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An Open Guide to Data Structures and Algorithms Paul Bible

By: Contributor(s): Material type: TextTextSeries: Open textbook libraryDistributor: Minneapolis, MN Open Textbook LibraryPublisher: [Place of publication not identified] PALNI 2023Copyright date: ©2023Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): LOC classification:
  • QA76
Online resources:
Contents:
Publisher's Note -- Acknowledgements -- Algorithms, Big-O, and Complexity -- Recursion -- Sorting -- Search -- Linked Lists -- Stacks and Queues -- Hashing and Hash Tables -- Search Trees -- Priority Queues -- Dynamic Programming -- Graphs -- Hard Problems -- Contributors
Subject: This textbook serves as a gentle introduction for undergraduates to theoretical concepts in data structures and algorithms in computer science while providing coverage of practical implementation (coding) issues. The field of computer science (CS) supports a multitude of essential technologies in science, engineering, and communication as a social medium. The varied and interconnected nature of computer technology permeates countless career paths making CS a popular and growing major program. Mastery of the science behind computer science relies on an understanding of the theory of algorithms and data structures. These concepts underlie the fundamental tradeoffs that dictate performance in terms of speed, memory usage, and programming complexity that separate novice programmers from professional practitioners.
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Publisher's Note -- Acknowledgements -- Algorithms, Big-O, and Complexity -- Recursion -- Sorting -- Search -- Linked Lists -- Stacks and Queues -- Hashing and Hash Tables -- Search Trees -- Priority Queues -- Dynamic Programming -- Graphs -- Hard Problems -- Contributors

This textbook serves as a gentle introduction for undergraduates to theoretical concepts in data structures and algorithms in computer science while providing coverage of practical implementation (coding) issues. The field of computer science (CS) supports a multitude of essential technologies in science, engineering, and communication as a social medium. The varied and interconnected nature of computer technology permeates countless career paths making CS a popular and growing major program. Mastery of the science behind computer science relies on an understanding of the theory of algorithms and data structures. These concepts underlie the fundamental tradeoffs that dictate performance in terms of speed, memory usage, and programming complexity that separate novice programmers from professional practitioners.

Attribution

In English.

Description based on print resource

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