Cargando…

Computing Boolean statistical models /

Computer Simulation is a very important tool in modern science, playing an intermediate role between theoretical models and experiments. In particular, an important fraction of the human knowledge about critical phenomena and phase transitions is due to computer simulations performed on statistical...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Oliveira, P. M. C. de (Paulo Murilo Castro)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; Teaneck, N.J. : World Scientific, ©1991.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 a 4500
001 EBSCO_ocn818363131
003 OCoLC
005 20231017213018.0
006 m o d
007 cr cnu---unuuu
008 121116s1991 si a ob 000 0 eng d
010 |z  91014945  
040 |a N$T  |b eng  |e pn  |c N$T  |d E7B  |d OCLCF  |d OCLCQ  |d AGLDB  |d OCLCQ  |d VTS  |d STF  |d M8D  |d OCLCO  |d LEAUB  |d AJS  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCQ  |d INARC 
019 |a 1086429062  |a 1391286282 
020 |a 9789812815552  |q (electronic bk.) 
020 |a 9812815554  |q (electronic bk.) 
020 |z 9810202385 
020 |z 9789810202385 
029 1 |a AU@  |b 000051565517 
029 1 |a DEBBG  |b BV043105365 
029 1 |a DEBSZ  |b 421330481 
029 1 |a GBVCP  |b 804159823 
035 |a (OCoLC)818363131  |z (OCoLC)1086429062  |z (OCoLC)1391286282 
050 4 |a QC174.8  |b .O45 1991eb 
072 7 |a SCI  |x 040000  |2 bisacsh 
082 0 4 |a 530.1/5  |2 22 
084 |a *82-02  |2 msc 
084 |a 68Q80  |2 msc 
084 |a 68U20  |2 msc 
084 |a 82-08  |2 msc 
084 |a 82D30  |2 msc 
049 |a UAMI 
100 1 |a Oliveira, P. M. C. de  |q (Paulo Murilo Castro) 
245 1 0 |a Computing Boolean statistical models /  |c Paulo Murilo Castro de Oliveira. 
260 |a Singapore ;  |a Teaneck, N.J. :  |b World Scientific,  |c ©1991. 
300 |a 1 online resource (ix, 130 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references (pages 127-130). 
588 0 |a Print version record. 
505 0 |a Ch. I. Introduction -- ch. II Small lattices -- ch. III. Monte-Carlo simulations -- ch. IV. Disorder and frustration -- ch. V. Cellular automata -- ch. VI. Neural networks -- ch. VII. Diluted antiferromagnets. 
520 |a Computer Simulation is a very important tool in modern science, playing an intermediate role between theoretical models and experiments. In particular, an important fraction of the human knowledge about critical phenomena and phase transitions is due to computer simulations performed on statistical models. In this text, a class of statistical models that allows parallel processing using conventional hardware is treated using only personal computers. This class of systems is defined on a discrete lattice of points, and every point holds a Boolean variable that can assume only two values, 1 or 0, these can be associated to the logical values true and false respectively. The parallel processing is possible due to the Boolean operations AND, OR, XOR (for exclusive OR) and NOT provided by any digital computer. The strategy shown in the text consists of storing the state of the system bit by bit in computer words (each one with 16 bits in our personal computer) and processing them in parallel through fast bitwise logical operations. Using this strategy, various problems like the exact computation of the thermodynamic properties of small systems (for real space renormalization group calculations) and the Monte-Carlo simulation of uniform ferromagnets, spin glasses, and related models is treated. An interesting application of those calculations is an annealed square lattice spin glass where ferro and antiferromagnetic bonds are allowed to migrate along the lattice, used for testing an entropy-induced mechanism of charge pairing recently proposed for ceramic superconduc-tors. Some cellular automata rules are also treated by the same method. Fully connected neural networks with more than 108 synapses were simulated (the largest simulation up to now, as far as we know) and processed by our PC in a few minutes. Applications of large neural network simulations are also presented. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Statistical physics  |x Mathematical models. 
650 0 |a Algebra, Boolean. 
650 6 |a Physique statistique  |x Modèles mathématiques. 
650 6 |a Algèbre de Boole. 
650 7 |a SCIENCE  |x Physics  |x Mathematical & Computational.  |2 bisacsh 
650 7 |a Algebra, Boolean.  |2 fast  |0 (OCoLC)fst00804924 
650 7 |a Statistical physics  |x Mathematical models.  |2 fast  |0 (OCoLC)fst01132079 
650 7 |a Statistische Physik  |2 gnd 
650 7 |a Computersimulation  |2 gnd 
650 7 |a Mathematisches Modell  |2 gnd 
776 0 8 |i Print version:  |a Oliveira, P.M.C. de (Paulo Murilo Castro).  |t Computing Boolean statistical models.  |d Singapore ; Teaneck, N.J. : World Scientific, ©1991  |z 9810202385  |w (DLC) 91014945  |w (OCoLC)23583472 
856 4 0 |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=491496  |z Texto completo 
938 |a ebrary  |b EBRY  |n ebr10607791 
938 |a EBSCOhost  |b EBSC  |n 491496 
938 |a Internet Archive  |b INAR  |n computingboolean0000oliv 
994 |a 92  |b IZTAP