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Data Structures and Algorithms in Java

Author: Adam Drozdek
Publisher: Cengage Learning
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Format Type: PDF, ePub, Mobi
Size: 10,52 MB
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Using the Java programming language, author Adam Drozdek highlights three important aspects of data structures and algorithms. First, the book places special emphasis on the connection between data structures and their algorithms, including an analysis of the algorithms’ complexity. Second, the book presents data structures in the context of object-oriented program design, stressing the principle of information hiding in its treatment of encapsulation and decomposition. Finally, the book closely examines data structure implementation. Overall, this practical and theoretical book prepares students with a solid foundation in data structures for future courses and work in design implementation, testing, or maintenance of virtually any software system. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.


Hands On Data Structures and Algorithms with Rust

Author: Claus Matzinger
Publisher: Packt Publishing Ltd
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Size: 19,69 MB
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Design and implement professional level programs by exploring modern data structures and algorithms in Rust. Key Features Use data structures such as arrays, stacks, trees, lists and graphs with real-world examples Learn the functional and reactive implementations of the traditional data structures Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Book Description Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. What you will learn Design and implement complex data structures in Rust Analyze, implement, and improve searching and sorting algorithms in Rust Create and use well-tested and reusable components with Rust Understand the basics of multithreaded programming and advanced algorithm design Become familiar with application profiling based on benchmarking and testing Explore the borrowing complexity of implementing algorithms Who this book is for This book is for developers seeking to use Rust solutions in a practical/professional setting; who wants to learn essential Data Structures and Algorithms in Rust. It is for developers with basic Rust language knowledge, some experience in other programming languages is required.


Data Structures and Algorithms Using C

Author: Akepogu Ananda Rao
Publisher: Pearson Education India
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Format Type: PDF, ePub, Docs
Size: 24,91 MB
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A Practical Approach To Data Structures And Algorithms

Author: Sanjay Pahuja
Publisher: New Age International
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Size: 28,33 MB
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Data Structures and Algorithms Using Java

Author: William McAllister
Publisher: Jones & Bartlett Publishers
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Size: 28,60 MB
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With an accessible writing style and manageable amount of content, Data Structures and Algorithms Using Java is the ideal text for your course. This outstanding text correlates to the recommended syllabus put forth by the Association of Computing Machinery standard curriculum guidelines. The author has produced a resource that is more readable and instructional than any other, without compromising the scope of the ACM CS103, Data Structures and Algorithms, course material. The text’s unique, student-friendly pedagogical approach and organizational structure will keep students engaged in the process of self-directed investigative discovery both inside and outside the classroom. The pedagogical features of the text, based on the author’s 30 years of teaching experience, include succinct code examples, a unique common template used as the organizational basis of each chapter, the use of pseudocode to present the major algorithms developed in the text, nearly 300 carefully designed figures, and a concise review of Java.


R Data Structures and Algorithms

Author: Dr. PKS Prakash
Publisher: Packt Publishing Ltd
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Size: 28,96 MB
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Increase speed and performance of your applications with efficient data structures and algorithms About This Book See how to use data structures such as arrays, stacks, trees, lists, and graphs through real-world examples Find out about important and advanced data structures such as searching and sorting algorithms Understand important concepts such as big-o notation, dynamic programming, and functional data structured Who This Book Is For This book is for R developers who want to use data structures efficiently. Basic knowledge of R is expected. What You Will Learn Understand the rationality behind data structures and algorithms Understand computation evaluation of a program featuring asymptotic and empirical algorithm analysis Get to know the fundamentals of arrays and linked-based data structures Analyze types of sorting algorithms Search algorithms along with hashing Understand linear and tree-based indexing Be able to implement a graph including topological sort, shortest path problem, and Prim's algorithm Understand dynamic programming (Knapsack) and randomized algorithms In Detail In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the fundamentals of data structures, such as lists, stacks, queues, and dictionaries, using real-world examples. We also cover topics such as indexing, sorting, and searching in depth. Later on, you will be exposed to advanced topics such as graph data structures, dynamic programming, and randomized algorithms. You will come to appreciate the intricacies of high performance and scalable programming using R. We also cover special R data structures such as vectors, data frames, and atomic vectors. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. We will also explore the application of binary search and will go in depth into sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. Style and approach This easy-to-read book with its fast-paced nature will improve the productivity of an R programmer and improve the performance of R applications. It is packed with real-world examples.


Data Structures Algorithm Analysis in C

Author: Clifford A. Shaffer
Publisher: Courier Corporation
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Format Type: PDF
Size: 29,71 MB
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A comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.


Advanced Data Structures and Algorithms

Author: A.A.Puntambekar
Publisher: Technical Publications
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Size: 24,70 MB
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C++ class overview - Class definition, Objects, Class members, Access control, Class scope, Constructors and destructors, Parameter passing methods, Inline functions, Static class members, This pointer, Friend functions, Dynamic memory allocation and deallocation (new and delete), Exception handling. Function overloading, Operator overloading, Generic programming - Function and class templates, Inheritance basics, Base and derived classes, Inheritance types, Base class access control, Runtime polymorphism using virtual functions, Abstract classes, Streams I/O. Algorithms, Performance analysis-time complexity and space complexity, O-notation, Omega notation and Theta notation, Review of basic data structures - The list ADT, Stack ADT, Queue ADT, Implementation using template classes in C++, Sparse matrix representation. Dictionaries, Linear list representation, Skip list representation, Operations - Insertion, Deletion and searching, Hash table representation, Hash functions, Collision resolution-separate chaining, Open addressing-linear probing, Quadratic probing, Double hashing, Rehashing, Extendible hashing, Comparison of hashing and skip lists. Priority queues - Definition, ADT, Realizing a priority queue using heaps, Definition, Insertion, Deletion, Application-Heap sort, External sorting - Model for external sorting, Multiway merge, Polyphase merge. Search trees (Part I) : Binary search trees, Definition, ADT, Implementation, Operations-searching, Insertion and deletion, Balanced search trees - AVL trees, Definition, Height of an AVL tree, Representation, Operations-insertion, Deletion and searching. Search trees (Part II) : Red - Black trees and splay trees, B-Trees-B-Tree of order m, Height of a B-Tree, Insertion, Deletion and searching, Comparison of search trees.Divide and Conquer-General method, Applications - Binary search, Merge sort, Quick sort, Strassen s matrix multiplication. Efficient non recursive tree traversal algorithms, Biconnected components. Disjoint set operations, Union and find algorithms. Greedy method and Dynamic programming : General method (Greedy), Minimum cost spanning trees, Job sequencing with deadlines, General method (Dynamic programming), Optimal binary search trees, 0/1 Knapsack problem, Ordering matrix multiplications.


Data Structures and Algorithms in Java

Author: Peter Drake
Publisher: Prentice Hall
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Size: 20,64 MB
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This new book provides a concise and engaging introduction to Java and object-oriented programming with an abundance of original examples, use of Unified Modeling Language throughout, and coverage of the new Java 1.5. Addressing critical concepts up front, the book's five-part structure covers object-oriented programming, linear structures, algorithms, trees and collections, and advanced topics.KEY FEATURES: Data Structures and Algorithms in Java takes a practical approach to real-world programming and introduces readers to the process of crafting programs by working through the development of projects, often providing multiple versions of the code and consideration for alternate designs. The book features the extensive use of games as examples; a gradual development of classes analogous to the Java Collections Framework; complete, working code in the book and online; and strong pedagogy including extended examples in most chapters along with exercises, problems and projects.For readers and professionals with a familiarity with the basic control structures of Java or C and a precalculus level of mathematics who want to expand their knowledge to Java data structures and algorithms. Ideal for a second undergraduate course in computer science.


Data Structures And Algorithms

Author: A.A.Puntambekar
Publisher: Technical Publications
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Format Type: PDF, Kindle
Size: 23,94 MB
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