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Orthogonal Polynomials in the Spectral Analysis of Markov Processes (English, Manuel Domínguez de la Iglesia)
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Specifications
| Publisher | Cambridge University Press |
| Language | English |
| ISBN-13 | 9781316516553 |
| ISBN-10 | 1316516555 |
| Author | Manuel Domínguez de la Iglesia |
Product Description
Here on GlowMirror, you'll find Orthogonal Polynomials in the Spectral Analysis of Markov Processes filed under Cambridge University Press -- everything you need to know is covered below.
About the Book
In pioneering work in the 1950s, S. Karlin and J. McGregor showed that probabilistic aspects of certain Markov processes can be studied by analyzing orthogonal eigenfunctions of associated operators. In the decades since, many authors have extended and deepened this surprising connection between orthogonal polynomials and stochastic processes. This book gives a comprehensive analysis of the spectral representation of the most important one-dimens…
ISBN: 9781316516553
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Orthogonal Polynomials in the Spectral Analysis of Markov Processes
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Cambridge University Press
Who Should Read This
Students and professionals interested in Cambridge University Press, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Orthogonal Polynomials in the Spectral Analysis of Markov Processes is available in English on GlowMirror.
Who is the author of Orthogonal Polynomials in the Spectral Analysis of Markov Processes?
Orthogonal Polynomials in the Spectral Analysis of Markov Processes is authored by Manuel Domínguez de la Iglesia.
Who published Orthogonal Polynomials in the Spectral Analysis of Markov Processes?
Orthogonal Polynomials in the Spectral Analysis of Markov Processes is published by Cambridge University Press.
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What is Orthogonal Polynomials in the Spectral Analysis of Markov Processes about?
About the Book
In pioneering work in the 1950s, S. Karlin and J. McGregor showed that probabilistic aspects of certain Markov processes can be studied by analyzing orthogonal eigenfunctions of associated operators. In the decades since, many authors have extended and deepened this surprising conne...
Is Orthogonal Polynomials in the Spectral Analysis of Markov Processes suitable for beginners?
Whether Orthogonal Polynomials in the Spectral Analysis of Markov Processes is suitable for beginners depends on your background in Cambridge University Press. Review the product description and specifications above for details on the target audience and difficulty level.
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