Reaction Kinetics: Exercises, Programs and Theorems: Mathematica for Deterministic and Stochastic Kinetics

Author:   János Tóth ,  Attila László Nagy ,  Dávid Papp
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2018
ISBN:  

9781493993512


Pages:   469
Publication Date:   10 December 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Reaction Kinetics: Exercises, Programs and Theorems: Mathematica for Deterministic and Stochastic Kinetics


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Author:   János Tóth ,  Attila László Nagy ,  Dávid Papp
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2018
Weight:   0.753kg
ISBN:  

9781493993512


ISBN 10:   1493993518
Pages:   469
Publication Date:   10 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

The General Framework.- The Continuous Time Continuous State Deterministic Model.- The Continuous Time Discrete State Stochastic Model.- Selected Addenda.

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Author Information

János Tóth graduated from mathematics at Eötvös Loránd University and started to work for the Institute of Medical Chemistry. His main interest is in applied mathematics (differential equations and stochastic processes) in chemistry, chemical engineering, biochemistry, pharmacology and combustion. He is best known for his work on the inverse problem, on the stochastic model of the Michaelis-Menten reaction, and on lumping. Presently an honorary professor of the Budapest University of Technology and Economics, he was a visiting researcher at Princeton University, Pierre et Marie Curie Université, INRA, INERIS. He has published over 100 papers and four books. He has designed and taught subjects in mathematical chemistry. In 2017 he received the MaCKiE Lifetime Achievement Award. Attila László Nagy graduated with highest honors from Budapest University of Technology and Economics as applied mathematician. He received his MSc under the guidance of János Tóth in 2011 by defending his thesis on stochastic parameter estimation methods. Since then he has been working both in the field of interacting particle systems and mathematical chemistry, and is now a PhD candidate. So far five publications of his have appeared in various journals including the Annals of Probability and the Journal of Mathematical Chemistry. Over the years he has taught several mathematics-related subjects mainly for engineering students at the undergraduate level. Recently, he has been working in the industry, currently as a business analyst.  Dávid Papp received his PhD from Rutgers University in 2011. Following postdoctoral researcher positions at Northwestern University and Massachusetts General Hospital, he is now an Assistant Professor of Mathematics at North Carolina State University. His research interests are in mathematical optimization and its applications in medicine, engineering, and statistics. He has written 30 publications. Over the years he has designed and taught various applied mathematics courses both at the undergraduate and PhD level.

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