Essential Algorithms
Download Essential Algorithms PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Essential Algorithms book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Essential Algorithms
A friendly and accessible introduction to the most useful algorithms Computer algorithms are the basic recipes for programming. Professional programmers need to know how to use algorithms to solve difficult programming problems. Written in simple, intuitive English, this book describes how and when to use the most practical classic algorithms, and even how to create new algorithms to meet future needs. The book also includes a collection of questions that can help readers prepare for a programming job interview. Reveals methods for manipulating common data structures such as arrays, linked lists, trees, and networks Addresses advanced data structures such as heaps, 2-3 trees, B-trees Addresses general problem-solving techniques such as branch and bound, divide and conquer, recursion, backtracking, heuristics, and more Reviews sorting and searching, network algorithms, and numerical algorithms Includes general problem-solving techniques such as brute force and exhaustive search, divide and conquer, backtracking, recursion, branch and bound, and more In addition, Essential Algorithms features a companion website that includes full instructor materials to support training or higher ed adoptions.
50 Essential Algorithms for Every Programmer in 7 Minutes Each
50 Essential Algorithms for Every Programmer in 7 Minutes Each Unlock the world of programming algorithms with 50 Essential Algorithms for Every Programmer in 7 Minutes Each. This concise yet comprehensive guide is designed for both novice coders and seasoned developers looking to brush up on their algorithm knowledge in a time-efficient manner. Each algorithm is presented in a clear, digestible format, allowing you to grasp essential concepts and implementations in just seven minutes. Whether you're preparing for coding interviews, tackling competitive programming challenges, or simply wanting to enhance your coding skills, this book provides the perfect blend of theory and practical application. What You'll Learn: - Sorting Algorithms: Master essential sorting techniques such as Bubble Sort, Merge Sort, and Quick Sort. - Search Algorithms: Explore both linear and binary searches, and learn how to apply advanced search strategies like Dijkstra's and A* algorithms. - Graph Theory: Delve into the world of graphs with BFS, DFS, and critical algorithms like Kruskal’s and Prim’s for minimum spanning trees. - Dynamic Programming: Tackle real-world problems like the Knapsack and Edit Distance with dynamic programming strategies. - Backtracking and Greedy Algorithms: Understand the power of backtracking through challenges such as the N-Queens Problem and Sudoku Solving. - String Matching: Discover efficient string searching methods including KMP and Rabin-Karp. - Advanced Data Structures: Learn about Tries, Segment Trees, and the Union-Find algorithm to enhance your coding toolbox. Each chapter not only explores algorithm implementations but also sheds light on their real-world applications, complexities, and optimization techniques, ensuring you're well-equipped to tackle programming challenges confidently. With 50 Essential Algorithms for Every Programmer in 7 Minutes Each, you’ll boost your algorithmic thinking and programming prowess in a fraction of the time. Perfect for programmers of all levels looking to strengthen their foundation and advance their skills. Pick up this book and transform your approach to programming—one algorithm at a time!
Essential Algorithms
A friendly introduction to the most useful algorithms written in simple, intuitive English The revised and updated second edition of Essential Algorithms, offers an accessible introduction to computer algorithms. The book contains a description of important classical algorithms and explains when each is appropriate. The author shows how to analyze algorithms in order to understand their behavior and teaches techniques that the can be used to create new algorithms to meet future needs. The text includes useful algorithms such as: methods for manipulating common data structures, advanced data structures, network algorithms, and numerical algorithms. It also offers a variety of general problem-solving techniques. In addition to describing algorithms and approaches, the author offers details on how to analyze the performance of algorithms. The book is filled with exercises that can be used to explore ways to modify the algorithms in order to apply them to new situations. This updated edition of Essential Algorithms: Contains explanations of algorithms in simple terms, rather than complicated math Steps through powerful algorithms that can be used to solve difficult programming problems Helps prepare for programming job interviews that typically include algorithmic questions Offers methods can be applied to any programming language Includes exercises and solutions useful to both professionals and students Provides code examples updated and written in Python and C# Essential Algorithms has been updated and revised and offers professionals and students a hands-on guide to analyzing algorithms as well as the techniques and applications. The book also includes a collection of questions that may appear in a job interview. The book’s website will include reference implementations in Python and C# (which can be easily applied to Java and C++).
