Stochastic Modelling of Reaction-Diffusion Processes
1571 Kč
Sleva až 70% u třetiny knih
This practical introduction covers mathematical methods for the analysis of stochastic models and their biological applications. Based on courses taught at the University of Oxford, the book can be used for self-study or as a supporting text for advanced undergraduate or beginning graduate-level courses in applied mathematics.
Autor: | Erban, Radek (University of Oxford); Chapman, S. Jonathan (University of Oxford) |
Nakladatel: | Cambridge University Press |
ISBN: | 9781108703000 |
Rok vydání: | 2020 |
Jazyk : | Angličtina |
Vazba: | Paperback / softback |
Počet stran: | 319 |
Mohlo by se vám také líbit..
-
Mining of Massive Datasets
Leskovec, Jure (Stanford University, California); Rajaraman, Anand; Ullman, Jeffrey David (Stanford University, Californ
-
Quantum Computing for Computer Scien...
Yanofsky, Noson S.
-
Machine Learning for Asset Managers
De Prado, Lopez
-
Mathematics for Machine Learning
Deisenroth, Marc Peter (University College London); Faisal, A. Aldo (Imperial College London); Ong, Cheng Soon
-
Data-Driven Science and Engineering
Duriez, Thomas; Brunton, Steven L.; Noack, Bernd R.
-
Foundations of Cryptography: Volume ...
Goldreich, Oded
-
Purely Functional Data Structures
Okasaki, Chris (Columbia University, New York)
-
Learning Scientific Programming with ...
Hill, Christian
-
A Hands-On Introduction to Data Science
Shah, Chirag (University of Washington)
-
Industry Unbound
Waldman, Ari Ezra (Northeastern University, Boston)
-
How to Write Good Programs
Stevens, Perdita
-
Machine Learning with Neural Networks
Mehlig, Bernhard (Goeteborgs Universitet, Sweden)
-
Integer Linear Programming in Comput...
Gusfield, Dan (University of California, Davis)
-
Sentiment Analysis
Liu, Bing
-
The Discrete Mathematical Charms of P...
Applegate, David L.; Bixby, Robert E.; Chvatal, Vasek; Cook, William J.
-
Cambridge International AS & A L...
Piper, Tony