Titlebook: Nanotechnology and the Challenges of Equity, Equality and Development; Susan E. Cozzens,Jameson Wetmore Book 2011 Springer Science+Busines

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外表讀作

Enliven

Laurel Smith-Doerrithms---search algorithms that combine ideas from evolutionaI’m not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimization via

ARIA

Yu Meng,Philip Shapiraithms---search algorithms that combine ideas from evolutionaI’m not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimization via

boisterous

Basilar-Artery

Catherine P. Sladeeading public under a misleading or fraudulent title. The volume Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scal

心胸開闊

Gregor Wolbring. Performance scalability now depends on the possibility of finding and exploiting enough Thread-Level Parallelism (TLP) in applications for using the increasing numbers of cores on a chip. .Video decoding is an example of an application domain with increasing computational requirements every new ge

TAIN

Robust

nd experimental results to support the theoretical concepts This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established an

絕緣

Georgia Miller,Gyorgy Scriniswithin a number of different samples. An important application of microarray gene expression data in functional genomics is to classify samples according to their gene expression profiles. Among the large amount of genes present in microarray gene expression data, only a small fraction of them is ef