{"product_id":"advanced-algorithms-and-data-structures-paperback","title":"Advanced Algorithms and Data Structures (Paperback)","description":"\u003cp\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003ci\u003eAdvanced Algorithms and Data Structures\u003c\/i\u003e introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing.\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eSummary\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAs 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. \u003c\/span\u003e\u003ci style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAdvanced Algorithms and Data Structures\u003c\/i\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e 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.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the technology\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eCan 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.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the book\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003ci style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAdvanced Algorithms and Data Structures\u003c\/i\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e 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.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eWhat's inside\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Build on basic data structures you already know\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Profile your algorithms to speed up application\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Store and query strings efficiently\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Distribute clustering algorithms with MapReduce\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Solve logistics problems using graphs and optimization algorithms\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the reader\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eFor intermediate programmers.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the author\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eMarcello La Rocca\u003c\/b\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e is a research scientist and a full-stack engineer. His focus is on optimization algorithms, genetic algorithms, machine learning, and quantum computing.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eTable of Contents\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e1 Introducing data structures\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003ePART 1 IMPROVING OVER BASIC DATA STRUCTURES\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e2 Improving priority queues: d-way heaps\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e3 Treaps: Using randomization to balance binary search trees\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e4 Bloom filters: Reducing the memory for tracking content\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e5 Disjoint sets: Sub-linear time processing\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e6 Trie, radix trie: Efficient string search\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e7 Use case: LRU cache\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003ePART 2 MULTIDEMENSIONAL QUERIES\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e8 Nearest neighbors search\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e9 K-d trees: Multidimensional data indexing\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e10 Similarity Search Trees: Approximate nearest neighbors search for image retrieval\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e11 Applications of nearest neighbor search\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e12 Clustering\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e13 Parallel clustering: MapReduce and canopy clustering\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003ePART 3 PLANAR GRAPHS AND MINIMUM CROSSING NUMBER\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e14 An introduction to graphs: Finding paths of minimum distance\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e15 Graph embeddings and planarity: Drawing graphs with minimal edge intersections\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e16 Gradient descent: Optimization problems (not just) on graphs\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e17 Simulated annealing: Optimization beyond local minima\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e18 Genetic algorithms: Biologically inspired, fast-converging optimization\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eeBook License\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty and License Agreement\u003c\/p\u003e\u003cp\u003e1. Grant of License\u003c\/p\u003e\u003cp\u003eManning has authorized the download by you of an unrestricted number of copies of the electronic book (ebook) in any of the available formats. Manning grants you a nonexclusive, nontransferable license to use the ebook according to the terms and conditions herein. This License Agreement permits you to install the ebook on any and all your devices for your personal use only.\u003c\/p\u003e\u003cp\u003e2. Restrictions\u003c\/p\u003e\u003cp\u003eYou shall not: (1) share, resell, rent, assign, timeshare, distribute, or transfer all or part of the ebook or any rights granted hereunder to any other person; (2) duplicate the ebook, except for a single backup or archival copy; (3) remove any proprietary notices, labels, or marks from the ebook; (4) transfer or sublicense title to the ebook to any other party.\u003c\/p\u003e\u003cp\u003e3. 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Limited Warranty\u003c\/p\u003e\u003cp\u003eManning warrants that the ebook files, a copy of which you are authorized to download, are free from defects in the operational sense that they can be read by a PDF Reader or ePub reader, or other. EXCEPT FOR THIS EXPRESS LIMITED WARRANTY, MANNING MAKES AND YOU RECEIVE NO WARRANTIES, EXPRESS, IMPLIED, STATUTORY OR IN ANY COMMUNICATION WITH YOU, AND MANNING SPECIFICALLY DISCLAIMS ANY OTHER WARRANTY INCLUDING THE IMPLIED WARRANTY OF MERCHANTABILITY OR FITNESS OR A PARTICULAR PURPOSE. MANNING DOES NOT WARRANT THAT THE OPERATION OF THE EBOOK WILL BE UNINTERRUPTED OR ERROR FREE. If the ebook was purchased in the United States, the above exclusions may not apply to you as some states do not allow the exclusion of implied warranties. In addition to the above warranty rights, you may also have other rights that vary from state to state.\u003c\/p\u003e\u003cp\u003e6. 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