Custom cover image
Custom cover image

Reaction Kinetics: Exercises, Programs and Theorems : Mathematica for Deterministic and Stochastic Kinetics / by János Tóth, Attila László Nagy, Dávid Papp

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink BücherPublisher: New York, NY : Springer New York, 2018Description: Online-Ressource (XXIV, 469 p. 81 illus., 80 illus. in color, online resource)ISBN:
  • 9781493986439
Subject(s): Additional physical formats: 9781493986415 | 9781493986422 | Erscheint auch als: 978-1-4939-8641-5 Druck-Ausgabe | Printed edition: 9781493986415 | Printed edition: 9781493986422 DDC classification:
  • 541.2
MSC: MSC: *80-02 | 80A30 | 92-02 | 92E99 | 68N15LOC classification:
  • QD75.4.C45
DOI: DOI: 10.1007/978-1-4939-8643-9Online resources: Summary: Fifty years ago, a new approach to reaction kinetics began to emerge: one based on mathematical models of reaction kinetics, or formal reaction kinetics. Since then, there has been a rapid and accelerated development in both deterministic and stochastic kinetics, primarily because mathematicians studying differential equations and algebraic geometry have taken an interest in the nonlinear differential equations of kinetics, which are relatively simple, yet capable of depicting complex behavior such as oscillation, chaos, and pattern formation. The development of stochastic models was triggered by the fact that novel methods made it possible to measure molecules individually. Now it is high time to make the results of the last half-century available to a larger audience: students of chemistry, chemical engineering and biochemistry, not to mention applied mathematics. Based on recent papers, this book presents the most important concepts and results, together with a wealth of solved exercises. The book is accompanied by the authors’ Mathematica package, ReactionKinetics, which helps both students and scholars in their everyday work, and which can be downloaded from http://extras.springer.com/ and also from the authors’ websites. Further, the large set of unsolved problems provided may serve as a springboard for individual researchSummary: The General Framework -- The Continuous Time Continuous State Deterministic Model -- The Continuous Time Discrete State Stochastic Model -- Selected AddendaPPN: PPN: 103183558XPackage identifier: Produktsigel: ZDB-2-CMS | ZDB-2-SEB | ZDB-2-SXC
No physical items for this record

Reproduktion. (Springer eBook Collection. Chemistry and Materials Science)

KIT – The University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT