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02569nam a22004815i 4500 |
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|a 9783662527290
|9 978-3-662-52729-0
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|a 10.1007/978-3-662-52729-0
|2 doi
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|a Yao, Kai.
|e author.
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|a Uncertain Differential Equations
|h [electronic resource] /
|c by Kai Yao.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2016.
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| 300 |
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|a XIII, 158 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Springer Uncertainty Research,
|x 2199-3807
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|a Introduction -- Uncertain Variable -- Uncertain Process -- Contour Process -- Uncertain Calculus -- Uncertain Differential Equation -- Uncertain Calculus with Renewal Process -- Uncertain Differential Equation with Jumps -- Multi-Dimensional Uncertain Differential Equation -- High-Order Uncertain Differential Equation.
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| 520 |
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|a This book introduces readers to the basic concepts of and latest findings in the area of differential equations with uncertain factors. It covers the analytic method and numerical method for solving uncertain differential equations, as well as their applications in the field of finance. Furthermore, the book provides a number of new potential research directions for uncertain differential equation. It will be of interest to researchers, engineers and students in the fields of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, automation, economics, and management science.
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|a Engineering.
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|a Mathematical statistics.
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|a Economics, Mathematical.
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|a Computational intelligence.
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|a Engineering.
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|a Computational Intelligence.
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| 650 |
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|a Quantitative Finance.
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| 650 |
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|a Probability and Statistics in Computer Science.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783662527276
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| 830 |
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|a Springer Uncertainty Research,
|x 2199-3807
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|u http://dx.doi.org/10.1007/978-3-662-52729-0
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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