Free Data Structures, Algorithms

Author: Thomas A. Standish
Edition: 1st
Binding: Hardcover
ISBN: 0201528800
Publisher: Addison-Wesley
Features:

Data Structures, Algorithms, and Software Principles

This book develops the concepts of data structures and algorithm analysis step-by-step in a gradual fashion, proceeding from concrete examples to abstract principles. Search and download computer ebooks Data Structures, Algorithms, and Software Principles for free.
Categories: Computer algorithms, Data structures->Software engineering, Software engineering. Contributors: Thomas A. Standish - Author. Format: Hardcover. Download Data Structures, Algorithms computer ebooks
The presentation stresses motivation, intuition, and utility before giving technical details. Recurring themes such as recursion, levels of abstraction, efficiency, and trade-offs unify the material. Important software engineering concepts and principles are also covered including modularity, abstract data types, and information hiding, as well as new developments such as risk-based software lifecycle models and object-oriented programming. Mathematical foundations are covered and can be engaged at a variety of depths. It is assumed that students using this book for a CS2 course

Data Structures, Algorithms, and Program Style

Data Structures, Algorithms, and Program Style - James F. Korsh

Categories: Computer algorithms, Data structures->Software engineering, C (Computer program language). Contributors: Thomas A. Standish - Author. Format: Hardcover

Data Structures, Algorithms Free

The presentation stresses motivation, intuition, and utility before giving technical details. Recurring themes such as recursion, levels of abstraction, efficiency, and trade-offs unify the material. Important software engineering concepts and principles are also covered including modularity, abstract data types, and information hiding, as well as new developments such as risk-based software lifecycle models and object-oriented programming. Mathematical foundations are covered and can be engaged at a variety of depths
he presentation stresses motivation, intuition, and utility before giving technical details. Recurring themes such as recursion, levels of abstraction, efficiency, and trade-offs unify the material. Important software engineering concepts and principles are also covered including modularity, abstract data types, and information hiding, as well as new developments such as risk-based software lifecycle models and object-oriented programming. Mathematical foundations are covered and can be engaged at a variety of depths. It is assumed that students using this book for a CS2 course