The Publishers' Trade List Annual
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Published: 1979
Total Pages: 1822
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author:
Publisher:
Published: 1979
Total Pages: 1822
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1965
Total Pages: 404
ISBN-13:
DOWNLOAD EBOOKAuthor:
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Published: 1975
Total Pages: 218
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Published: 2013
Total Pages: 1978
ISBN-13:
DOWNLOAD EBOOKAuthor: California. State Department of Education
Publisher:
Published: 1972
Total Pages: 124
ISBN-13:
DOWNLOAD EBOOKBibliographie de livres en langue espagnole destinés aux enfants américains du début à la fin du secondaire.
Author:
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Published: 1985
Total Pages: 578
ISBN-13:
DOWNLOAD EBOOKAuthor: Rodolfo Gambini
Publisher: OUP Oxford
Published: 2011-09-22
Total Pages: 192
ISBN-13: 0191003239
DOWNLOAD EBOOKThis book provides an accessible introduction to loop quantum gravity and some of its applications, at a level suitable for undergraduate students and others with only a minimal knowledge of college level physics. In particular it is not assumed that the reader is familiar with general relativity and only minimally familiar with quantum mechanics and Hamiltonian mechanics. Most chapters end with problems that elaborate on the text, and aid learning. Applications such as loop quantum cosmology, black hole entropy and spin foams are briefly covered. The text is ideally suited for an undergraduate course in the senior year of a physics major. It can also be used to introduce undergraduates to general relativity and quantum field theory as part of a 'special topics' type of course.
Author: Zura Kakushadze
Publisher: Springer
Published: 2018-12-13
Total Pages: 480
ISBN-13: 3030027929
DOWNLOAD EBOOKThe 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.