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    Advanced Algorithms and Data Structures (Final Release)

    Posted By: yoyoloit
    Advanced Algorithms and Data Structures (Final Release)

    Advanced Algorithms and Data Structures
    by Marcello La Rocca

    English | 2021 | ISBN: 1617295485 | 769 pages | True PDF | 62.79 MB

    Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing.

    Summary

    As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.

    Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

    About the technology

    Can you improve the speed and efficiency of your applications without investing in new hardware? Well, yes, you can: Innovations in algorithms and data structures have led to huge advances in application performance. Pick up this book to discover a collection of advanced algorithms that will make you a more effective developer.

    About the book

    Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. You’ll discover cutting-edge approaches to a variety of tricky scenarios. You’ll even learn to design your own data structures for projects that require a custom solution.

    What's inside

    Build on basic data structures you already know
    Profile your algorithms to speed up application
    Store and query strings efficiently
    Distribute clustering algorithms with MapReduce
    Solve logistics problems using graphs and optimization algorithms



    About the reader

    For intermediate programmers.

    About the author

    Marcello La Rocca is a research scientist and a full-stack engineer. His focus is on optimization algorithms, genetic algorithms, machine learning, and quantum computing.

    Table of Contents

    1 Introducing data structures
    PART 1 IMPROVING OVER BASIC DATA STRUCTURES
    2 Improving priority queues: d-way heaps
    3 Treaps: Using randomization to balance binary search trees
    4 Bloom filters: Reducing the memory for tracking content
    5 Disjoint sets: Sub-linear time processing
    6 Trie, radix trie: Efficient string search
    7 Use case: LRU cache
    PART 2 MULTIDEMENSIONAL QUERIES
    8 Nearest neighbors search
    9 K-d trees: Multidimensional data indexing
    10 Similarity Search Trees: Approximate nearest neighbors search for image retrieval
    11 Applications of nearest neighbor search
    12 Clustering
    13 Parallel clustering: MapReduce and canopy clustering
    PART 3 PLANAR GRAPHS AND MINIMUM CROSSING NUMBER
    14 An introduction to graphs: Finding paths of minimum distance
    15 Graph embeddings and planarity: Drawing graphs with minimal edge intersections
    16 Gradient descent: Optimization problems (not just) on graphs
    17 Simulated annealing: Optimization beyond local minima
    18 Genetic algorithms: Biologically inspired, fast-converging optimization