50 Essential Algorithms For Every Programmer In 7 Minutes Each
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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 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.
Foundations of Algorithms
Author: Richard Neapolitan
language: en
Publisher: Jones & Bartlett Learning
Release Date: 2014-03-05
Foundations of Algorithms, Fifth Edition offers a well-balanced presentation of algorithm design, complexity analysis of algorithms, and computational complexity. Ideal for any computer science students with a background in college algebra and discrete structures, the text presents mathematical concepts using standard English and simple notation to maximize accessibility and user-friendliness. Concrete examples, appendices reviewing essential mathematical concepts, and a student-focused approach reinforce theoretical explanations and promote learning and retention. C++ and Java pseudocode help students better understand complex algorithms. A chapter on numerical algorithms includes a review of basic number theory, Euclid's Algorithm for finding the greatest common divisor, a review of modular arithmetic, an algorithm for solving modular linear equations, an algorithm for computing modular powers, and the new polynomial-time algorithm for determining whether a number is prime.The revised and updated Fifth Edition features an all-new chapter on genetic algorithms and genetic programming, including approximate solutions to the traveling salesperson problem, an algorithm for an artificial ant that navigates along a trail of food, and an application to financial trading. With fully updated exercises and examples throughout and improved instructor resources including complete solutions, an Instructor’s Manual and PowerPoint lecture outlines, Foundations of Algorithms is an essential text for undergraduate and graduate courses in the design and analysis of algorithms. Key features include:• The only text of its kind with a chapter on genetic algorithms• Use of C++ and Java pseudocode to help students better understand complex algorithms• No calculus background required• Numerous clear and student-friendly examples throughout the text• Fully updated exercises and examples throughout• Improved instructor resources, including complete solutions, an Instructor’s Manual, and PowerPoint lecture outlines