17541Data structures & problem solving using Java : 3rd ed.
Part one: Tour of Java; Part two: Algorithms and building blocks; Part three: Applications; Part four: Implementations; Part five: Advanced data structures.
17542Data structures & their algorithms
This book is about methods for organizing, moving, exploring, and retrieving data in digital computers; and the mathematical analysis of those techniques. Contents: Algorithm analysis; Lists; Trees; Arrays and strings; List and tree implementations of sets; Tree structures for dynamic dictionaries; Sets of digital data; Sets with special operations; Memory management; Sorting; Graphs; Engineering with data structures; Locatives,...
17543Data structures : abstraction and design using Java : 2nd ed.
This book lays the foundation for programmers to build their skills. The focus is placed on how to implement effective programs using the JCL instead of producing mathematical proofs. The coverage is updated and streamlined to provide a more accessible approach to programming. They’ll be able to develop a thorough understanding of basic data structures and algorithms through an objects-first approach. Data structures are discussed in the context of software engineering principles. Updated case studies also show programmers how to apply essential design skills and concepts.
17544Data structures : abstraction and design using Java : 3rd ed.
3rd edition, combines a strong emphasis on problem solving and software design with the study of data structures. The authors discuss applications of each data structure to motivate its study. After providing the specification (interface) and the implementation (a Java class), case studies that use the data structure to solve a significant problem are introduced.
17545Data structures : abstraction and design using Java : 3rd ed.
3rd edition, combines a strong emphasis on problem solving and software design with the study of data structures. The authors discuss applications of each data structure to motivate its study. After providing the specification (interface) and the implementation (a Java class), case studies that use the data structure to solve a significant problem are introduced.
17546Data structures and abstractions with Java
For one-semester Introductory courses or two-semester courses in data structures (CS-2) in the departments of Computer Science, Computer Engineering, Business, and Management Information Systems.This highly anticipated innovative book by two of the leading CS-1/CS-2 authors focuses the design specification and implementation of ADTs. This book was created from the ground up with objects and Java in mind and shows students how to use and implement key data organizations.
17547Data structures and abstractions with Java : 2nd ed.
Introduction chapter 1. Java classes, Chapter 2. Creating classes from other classes, Chapter 3. Designing classes, Chapter 4. Lists, Chapter 5. List implementations that use arrays, Chapter 6. A list implementation that links data, Chapter 7. Completing the linked implementation of a list, …
17548Data structures and abstractions with Java : 2nd ed.
New features of Java 5, including generic data types, the Scanner class, enumerations, for-each loops, the interface iterable, and boxing and unboxing, are covered and used throughout; Assertions within code are enforced using the assert statement; The result provides an example of how to approach the implementation of a class by first focusing on core methods,...
17549Data structures and abstractions with Java: 3rd ed.
This student friendly data structures text introduces ADTs in individual, brief chapters each with pedagogical tools to help students master each concept. Using the latest features of Java, this unique object oriented presentation makes a clear distinction between specification and implementation to simplify learning.
17550Data structures and algorithm analysis in C++
In this adaptation of his successful book, Data Structures and Algorithm Analysis, Mark Allen Weiss provides an innovative approach to algorithms and data structures in C++. He highlights conceptual topics, focusing on ADTs and the analysis of algorithms for efficiency as well as performance and running time. Dr. Weiss also distinguishes Data Structures and Algorithm Analysis in C++ with his clear, friendly writing style, logical organization or topics, and extensive use of figures and examples that show the successive stages of an algorithm.