Data Structures, Algorithms Textbook

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. Get and download textbook Data Structures, Algorithms, and Software Principles for free
Categories: Computer algorithms, Data structures->Software engineering, Software engineering. Contributors: Thomas A. Standish - Author. Format: Hardcover
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 new edition

Download free books for 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 Textbook

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

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