Time Travel and Other Mathematical Bewilderments
Time Travel and Other Mathematical Bewilderments

Author: Martin Gardner

Publisher: American Mathematical Soc.

Published: 2020-10-06

Total Pages: 295

ISBN-13: 1470463652

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Martin Gardner's Mathematical Games columns in Scientific American inspired and entertained several generations of mathematicians and scientists. Gardner in his crystal-clear prose illuminated corners of mathematics, especially recreational mathematics, that most people had no idea existed. His playful spirit and inquisitive nature invite the reader into an exploration of beautiful mathematical ideas along with him. These columns were both a revelation and a gift when he wrote them; no one--before Gardner--had written about mathematics like this. They continue to be a marvel. This is the original 1988 edition and contains columns published from 1974-1976.

Historic Coker Hills
Historic Coker Hills

Author: Jill Ridky-Blackburn

Publisher:

Published: 2019-09-27

Total Pages: 242

ISBN-13: 9781733854016

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In this quiet and spacious landscape lies the story of some of Chapel Hill's rich cultural and natural history. When University of North Carolina botany professor William chambers Coker purchased the hilly area now known as Coker Hills, he bought it with a keen eye for the flora and the dramatic rises. Author Jill Blackburn is a graduate of UNC, with a M.Ed. and PhD. Her family moved into the area many years ago. She and the other residents appreciate the feel of "living in the woods" while being close to amenities.

RETRACTED BOOK: 151 Trading Strategies
RETRACTED BOOK: 151 Trading Strategies

Author: Zura Kakushadze

Publisher: Springer

Published: 2018-12-13

Total Pages: 480

ISBN-13: 3030027929

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The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.