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 #  AuthorTitleAccn#YearItem Type Claims
1 Kulasiri, Don Stochastic Differential Equations for Chemical Transformations in White Noise Probability Space I13295 2024 eBook  
2 Kulasiri, Don Chemical Master Equation for Large Biological Networks I11686 2021 eBook  
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TitleStochastic Differential Equations for Chemical Transformations in White Noise Probability Space : Wick Products and Computations
Author(s)Kulasiri, Don
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2024.
DescriptionXVI, 155 p. 43 illus., 41 illus. in color : online resource
Abstract NoteThis book highlights the applications of stochastic differential equations in white noise probability space to chemical reactions that occur in biology. These reactions operate in fluctuating environments and are often coupled with each other. The theory of stochastic differential equations based on white noise analysis provides a physically meaningful modelling framework. The Wick product-based calculus for stochastic variables is similar to regular calculus; therefore, there is no need for Ito calculus. Numerical examples are provided with novel ways to solve the equations. While the theory of white noise analysis is well developed by mathematicians over the past decades, applications in biophysics do not exist. This book provides a bridge between this kind of mathematics and biophysics
ISBN,Price9789819793921
Keyword(s)1. BIOINFORMATICS 2. BIOMATHEMATICS 3. Computational and Systems Biology 4. Computational Physics and Simulations 5. COMPUTER SIMULATION 6. DIFFERENTIAL EQUATIONS 7. EBOOK 8. EBOOK - SPRINGER 9. Mathematical and Computational Biology 10. MATHEMATICAL PHYSICS
Item TypeeBook
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Accession#  Call#StatusIssued ToReturn Due On Physical Location
I13295     On Shelf    

2.    
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TitleChemical Master Equation for Large Biological Networks : State-space Expansion Methods Using AI
Author(s)Kulasiri, Don;Kosarwal, Rahul
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionXVIII, 217 p. 372 illus., 104 illus. in color : online resource
Abstract NoteThis book highlights the theory and practical applications of the chemical master equation (CME) approach for very large biochemical networks, which provides a powerful general framework for model building in a variety of biological networks. The aim of the book is to not only highlight advanced numerical solution methods for the CME, but also reveal their potential by means of practical examples. The case studies presented are mainly from biology; however, the applications from novel methods are discussed comprehensively, underlining the interdisciplinary approach in simulation and the potential of the chemical master equation approach for modelling bionetworks. The book is a valuable guide for researchers, graduate students, and professionals alike
ISBN,Price9789811653513
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. BIOINFORMATICS 3. BIOMATHEMATICS 4. Computational and Systems Biology 5. Computational Intelligence 6. Computational Physics and Simulations 7. COMPUTER SIMULATION 8. EBOOK 9. EBOOK - SPRINGER 10. Mathematical and Computational Biology 11. MATHEMATICAL PHYSICS
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I11686     On Shelf    

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