Gaussian Integrals and their Applications free ebook download.

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Gaussian Integrals and their Applications free ebook download

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Mathematics

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Author(s):	Oscar A. Nieves

Date:	2024	Format:	pdf	Language:	English	ISBN/ASIN:	B0CZVJ4JC8
Pages:	82	OCR:		Quality:		ISBN13:
Uploader:	rubybook	Upload Date:	6/19/2024 1:04:47 AM

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B0CZVJ4JC8 pdf
Gaussian Integrals form an integral part of many subfields of applied mathematics and physics, especially in topics such as probability theory, statistics, statistical mechanics, quantum mechanics and so on. They are essential in computing quantities such as the statistical properties of normal random variables, solving partial differential equations involving diffusion processes, and gaining insight into the properties of particles. In Gaussian Integrals and their Applications, the author has condensed the material deemed essential for undergraduate and graduate students of physics and mathematics, such that for those who are very keen would know what to look for next if their appetite for knowledge remains unsatisfied by the time they finish reading this book.   FeaturesA concise and easily digestible treatment of the essentials of Gaussian IntegralsA concise and easily digestible treatment of the essentials of Gaussian IntegralsSuitable for advanced undergraduates and graduate students in mathematics, physics, and statisticsSuitable for advanced undergraduates and graduate students in mathematics, physics, and statisticsThe only prerequisites are a strong understanding of multivariable calculus and linear algebra.The only prerequisites are a strong understanding of multivariable calculus and linear algebra.Supplemented by numerous exercises (with fully worked solutions) at the end, which pertain to various levels of difficulty and are inspired by different fields in which Gaussian integrals are used.Supplemented by numerous exercises (with fully worked solutions) at the end, which pertain to various levels of difficulty and are inspired by different fields in which Gaussian integrals are used.

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Tags: Applications Gaussian Integrals

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