17591Data structures and problem solving using Java
This text uses Java to teach data structures and algorithms from the perspective of abstract thinking and problem solving.
17592Data structures and program design in C
Chapter 1: Programming principles; Chapter 2: Introduction to software engineering; Chapter 3: Stacks and recursion; Chapter 4: Queues and linked lists; Chapter 5: General lists; Chapter 6: Searching; Chapter 7: Sorting; Chapter 8: Tables and information retrieval; Chapter 9: Binary search trees; Chapter 10: Multiway tress; Chapter 11: Graphs; Chapter 12: Case study.
17593Data structures and program design in C
This introduction to data structures using the C programming language demonstrates the stepwise refinement of ideas into runable programs, emphasizing problem specification and program correctness.
17594Data structures and program design in C++
Progressing from the concrete to the abstract — and using numerous, substantial case studies and sample programs — this book explores structured problem solving, data abstraction, software engineering principles, and the comparative analysis of algorithms as fundamental tools of program design.
17595Data structures and the java collections framework
This book focuses on teaching students how to apply the concepts presented and so includes many applications and examples throughout the book. Additionally, he provides programming projects, which get students thinking deeper.
17596Data Structures in Java
This book teaches the fundamentals of data structures and algorithms. This book offers pointer diagrams to help students visualize, reason about, and understand this major Data Structures topic. Standish's clear presentation helps readers tie the many concepts of data structures together with recurring themes. Central ideas-such as modularity, levels of abstraction, efficiency, and tradeoffs serve as integrators in the book in order to tie the material together conceptually and to reveal its underlying unity and interrelationships.
17597Data structures in Java : from abstract data types to the Java collections framework
Including 13 chapters such as 1. Object-oriented programming and Java; 2. Error handing, software testing, and program efficiency; 3. Fundamental data structures : the array and linked structures; 4. basic collection class; 5. list abstract data type; 6. stack abstract data type; 7. queue abstract data type; 8. Recursion; 9. Sorting and searching; ...
17598Data structures using C++
This highly-anticipated CS2 text from Dr. D.S. Malik is ideal for a one-semester course focused on data structures. Clearly written with the student in mind, this text focuses on Data Structures and includes advanced topics in C++ such as Linked Lists and the Standard Template Library (STL). This student-friendly text features abundant Programming Examples and extensive use of visual diagrams to reinforce difficult topics. Students will find Dr. Malik's use of complete programming code and clear display of syntax, explanation, and example easy to read and conducive to learning.
17599Data structures, algorithms, and applications in C++
This text provides students with an introduction to data structures and algorithms. It emphasizes algorithm analysis and the development of efficient code, and includes important background material. Divided into three parts, the text features Data Structure Application sections at the end of each chapter in part two, Algorithm Application sections in each design method chapter in part three, and a gradual development of C++ features not found in C to help students with either a background in C or C++ to comprehend topics in the book. --This text refers to an out of print or unavailable edition of this title.
17600Data virtualization for business intelligence architectures : revolutionizing data integration for data warehouses
Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments.