Mathematical Modelling of Biosystems

This volume is an interdisciplinary book which introduces, in a very readable way, state-of-the-art research in the fundamental topics of mathematical modelling of Biosystems. In short, the book offers an overview of mathematical and computational modelling of biosystems including biological phenomena in general. There is also a special introduction to Protein Physics which aims to explain the all-or-none first order phase transitions from native to denatured states.

Riassunto

This volume is an interdisciplinary book which introduces, in a very readable way, state-of-the-art research in the fundamental topics of mathematical modelling of Biosystems. In short, the book offers an overview of mathematical and computational modelling of biosystems including biological phenomena in general. There is also a special introduction to Protein Physics which aims to explain the all-or-none first order phase transitions from native to denatured states.

Dettagli sul prodotto

• Con la collaborazione di: Panos M. Pardalos (Editore), Rubem P. Mondaini (Editore), Panos Pardalos (Editore), Rube P Mondaini (Editore), M Pardalos (Editore), Panos M Pardalos (Editore), Rubem P Mondaini (Editore), M Pardalos (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 12.10.2010
• Categoria: Scienze naturali, medicina, informatica, tecnica > Matematica > Altro
• EAN: 9783642095467
• ISBN: 978-3-642-09546-7
• Numero di pagine: 305
• Illustrazioni: XII, 305 p.
• Dimensioni (della confezione): 15.6 x 23.4 x 1.7 cm
• Peso (della confezione): 488 g
• Serie: Applied Optimization > 102; Applied Optimization
• Categorie: Operations Research, C, Biowissenschaften, allgemein, Life Sciences, Biology, life sciences, Operations Research/Decision Theory, Operations Research and Decision Theory, Mathematics and Statistics, Life sciences: general issues, Management decision making, Scientific equipment, experiments & techniques, Operational research, Decision Making, Life Sciences, general, Biological Techniques, Biomathematics, Mathematical and Computational Biology, Biology—Technique