Sorting And Searching Algorithms Time Complexity
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Data Structures and Algorithms in Swift
Control the performance and stability of the apps you develop in Swift by working with and understanding advanced concepts in data structures and algorithms. All professional developers have to know which data structure and algorithms to use in their development process. Your choice directly affects the performance of your application. With this book, you’ll increase the performance of your software, become a better developer, and even pass tricky interview questions better when looking at professional development opportunities. Guided by compact and practical chapters, you'll learn the nature and proper use of data structures such as arrays, dictionaries, sets, stacks, queues, lists, hash tables, trie, heaps, binary trees, red black trees, and R-trees. Use the main differences among them to determine which will make your applications efficient and faster. Then tackle algorithms. Work with Big O notation; sorting algorithms such as Insertion, Merge, and Quick; Naive and Rabin Karp algorithms; and Graph Algorithms. Data Structures and Algorithms in Swift encourages you to further and understand how to best choose the perfect algorithm for your application’s needs. What You'll Learn Retrieve, add, and remove elements in arrays Implement stacks, queues, and lists in your apps Sort algorithms and choose the best ones for your apps Who This Book Is For Developers who have intermediate knowledge in Swift and want to improve their code performance and pass more complex interviews
Data Structures and Algorithms- A Complete Overciew
Author: Code Xtracts
language: en
Publisher: by Mocktime Publication
Release Date: 2023-06-11
Data Structures and Algorithms- A Complete Overciew for Engineering, BCA abd BSC Computer Courses; BCA Semester, Engineering Semester, BSC Computer Semester
Data Structures and Algorithms Analysis
Author: Dr. Nagagopiraju Vullam
language: en
Publisher: RK Publication
Release Date: 2024-12-27
Data Structures and Algorithms Analysis that explores fundamental and advanced concepts in data organization and computational problem-solving. It into various data structures such as arrays, linked lists, trees, graphs, and hash tables, along with algorithmic techniques like sorting, searching, dynamic programming, and graph traversal. The emphasizes efficiency analysis, using Big-O notation to evaluate algorithm performance. With theoretical explanations and practical implementations, it equips readers with essential skills for optimizing code and solving complex computational problems. Ideal for students, software developers, and competitive programmers, it serves as a valuable resource for mastering algorithmic thinking.