Hours of recreational reckoning. Collected and enhanced from Dennis Shasha's popular Scientific American column, here are thirty-six of the most innovative and emotive mathematical puzzles ever to appear in its pages. Edgy, challenging and representing the ultimate in recreational mathematical games, Puzzling Adventures dares the reader to work out the logic underlying venture fund investments, escape a Minotaur, catch a polar bear, play power politics, work out if a witness is lying, spy on contraband traders and verify DNA. An encrypted set of stories and commentary float above the puzzles. They need decrypting to discover their hints. The hints lead to a surprise—if the reader can work them out.
Dr. Ecco is a mathematical wizard who uses logic and computer programming to solve crimes, find treasures, and explore space. Join his team, expand the frontiers of knowledge, and match wits with him on intriguing cases like "The Virus from the Spy" and "The Secrets of Space" and "The Caribou and the Gas.
Aimed at both working programmers who are applying for a job where puzzles are an integral part of the interview, as well as techies who just love a good puzzle, this book offers a cache of exciting puzzles Features a new series of puzzles, never before published, called elimination puzzles that have a pedagogical aim of helping the reader solve an entire class of Sudoku-like puzzles Provides the tools to solve the puzzles by hand and computer The first part of each chapter presents a puzzle; the second part shows readers how to solve several classes of puzzles algorithmically; the third part asks the reader to solve a mystery involving codes, puzzles, and geography Comes with a unique bonus: if readers actually solve the mystery, they have a chance to win a prize, which will be promoted on wrox.com!
This best-selling book is now available in an inexpensive softcover format. Imagine living during the Renaissance and being able to interview that eras greatest scientists about their inspirations, discoveries, and personal interests. The latter half of our century has seen its own Renaissance - informations technology has changed irrevocable the way we live, work, and think about the world. We are fortunate, therefore, that the authors of Out of Their Minds have been able to talk so candidly with the founders of computer science.
Join math detective in solving nearly 40 puzzles inspired by methods in computer science and mathematics. The Tower of Lego, Odd Doors Problem, Spies and Double Agents, many more. Solutions.
Time-series data—data arriving in time order, or a data stream—can be found in fields such as physics, finance, music, networking, and medical instrumentation. Designing fast, scalable algorithms for analyzing single or multiple time series can lead to scientific discoveries, medical diagnoses, and perhaps profits. High Performance Discovery in Time Series presents rapid-discovery techniques for finding portions of time series with many events (i.e., gamma-ray scatterings) and finding closely related time series (i.e., highly correlated price and return histories, or musical melodies). A typical time-series technique may compute a "consensus" time series—from a collection of time series—to use regression analysis for predicting future time points. By contrast, this book aims at efficient discovery in time series, rather than prediction, and its novelty lies in its algorithmic contributions and its simple, practical algorithms and case studies. It presumes familiarity with only basic calculus and some linear algebra. Topics and Features: *Presents efficient algorithms for discovering unusual bursts of activity in large time-series databases * Describes the mathematics and algorithms for finding correlation relationships between thousands or millions of time series across fixed or moving windows *Demonstrates strong, relevant applications built on a solid scientific basis *Outlines how readers can adapt the techniques for their own needs and goals *Describes algorithms for query by humming, gamma-ray burst detection, pairs trading, and density detection *Offers self-contained descriptions of wavelets, fast Fourier transforms, and sketches as they apply to time-series analysis This new monograph provides a technical survey of concepts and techniques for describing and analyzing large-scale time-series data streams. It offers essential coverage of the topic for computer scientists, physicists, medical researchers, financial mathematicians, musicologists, and researchers and professionals who must analyze massive time series. In addition, it can serve as an ideal text/reference for graduate students in many data-rich disciplines.
DIVThe heroic Dr. Ecco uncovers a fiendish plot in this collection of original puzzles inspired by research methods of computer science and mathematics. No sophisticated mathematical background necessary. Solutions. /div
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