Limit this search to....

Evolution, Money, War, and Computers: Non-Traditional Applications of Computational Statistical Physics 1999 Edition
Contributor(s): Moss De Oliveira, Suzana (With), Oliveira, Paulo Murilo C. De (Author), Stauffer, Dietrich (Author)
ISBN: 3519002795     ISBN-13: 9783519002796
Publisher: Vieweg+teubner Verlag
OUR PRICE:   $52.24  
Product Type: Paperback
Published: January 1999
Qty:
Additional Information
BISAC Categories:
- Technology & Engineering | Engineering (general)
Dewey: 620
LCCN: 00278537
Series: Teubner Texte Zur Physik
Physical Information: 0.34" H x 5.25" W x 8" (0.38 lbs) 156 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Physics has always influenced other fields, from the mirrors of Archimedes which were supposed to ignite the sails of enemy warships, to the hydrogen bombs which could destroy Sao Paulo and Dusseldorf. More recently, (com- putational) statistical physics has been applied to biology, economics, world politics, etc. This book presents some examples in this direction to explain these methods. We do not claim to present a textbook of biology, or a so- lution of economic problems; we merely explain how physicists like us did it, in order to encourage others to try similar interdisciplinary work. The theo- ries presented here may not be the best ones for the problems but should be the ones closest to statistical physics methods. In most fields we give only the general idea to guide the reader to the original literature; for the Penna model of biological ageing we try to give a more complete overview, including computer programs, so that readers can start their own research immediately in this field. The selection of material follows our own experience, and even with these selected applications we would appreciate if readers would inform us about overlooked literature. We prove our ignorance, if we do not cite impor- tant papers. We thank many people, in particular M. Azbel, A. T. Bernardes, S. Dasgupta, S. Galam, H. J. Herrmann, N. Jan, H. Milbrodt, T. J. P. Penna, S. Solomon, D. Sornette, Y. C. Zhang and R.