Data Structure & Algorithms (13)
By Michael McMillan | The comprehensive study of data structures and algorithms teaches you not only which data structures and which algorithms are the most efficient, but you also learn how to decide which data structures and which algorithms are the most appropriate for the problem at hand.
By Adam Drozek | This book highlights three important aspects of data structure and algorithms: Connection, Object oriented programming and implementation.
By Mark Allen Weiss | This book describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms. As computers become faster and faster, the need for programs that can handle large amounts of input becomes more acute.
By Springer Verlag | This book provides a comprehensive introduction to the foundation of Algorithms and discuss importance to computer-aided circuit design
By Tutorialspoint | This tutorial is designed for Computer Science graduates as well as Software Professionals who are willing to learn data structures and algorithm programming in simple and easy steps. After completing this tutorial you will be at intermediate level of expertise from where you can take yourself to higher level of expertise.
By Robert Lafore | This second edition of Data Structures and Algorithms in Java has been augmented to make it easier for the reader and for instructors using it as a text in computer science classes. Besides coverage of additional topics, we’ve added end-of-chapter questions, experiments, and programming projects.
By Clifford A. Shaffer | This book describes many techniques for representing data.
By Marina Wahl | Python is a general-purpose, high-level programming language, which supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. In the first part of this book, we will learn all these fancy words.
By Michael McMillan | C# programmers: no more translating data structures from C++ or Java to use in your programs! Mike McMillan provides a tutorial on how to use data structures and algorithms plus the first comprehensive reference for C# implementation of data structures and algorithms found in the .NET Framework library, as well as those developed by the programmer.
By Alexis Maciel | These notes are for a second course on computer programming and software development. In a first course, you likely focused on learning the basics: variables, control statements, input and output, files, vectors (or arrays), and functions. These concepts are critically important and they are sufficient for the creation of many useful programs. But many other programs, especially large ones, require more powerful concepts and techniques.
By Mark Allen Weiss | The fourth edition of Data Structures and Algorithm Analysis in C++ describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms.
By Dan C. Marinescu The contents of this book represent a series of lectures given in the Fall 2011 to a graduate level class on cloud computing.
By Mark Allen Weiss | This book is designed for a two-semester sequence in computer science, beginning with what is typically known as Data Structures and continuing with advanced data structures and algorithm analysis.