The jacobi.f program solves the Helmholtz equation on a regular mesh, using an iterative Jacobi method with over-relaxation. Parallelism is exploited in both the solver and the numerical error checking
标签： Helmholtz iterative equation program
上传时间： 2016-04-03
上传用户：杜莹12345
use dsp to make FAT16 format disk.interface with FLASH Ic.
标签： interface format FLASH disk
上传时间： 2016-04-04
上传用户：skhlm
Study on LD Pumped Yb3+ -doped Double-clad Fiber Lasers数值分析对线形腔LD泵浦掺镱的双包层光纤激光器进行研究，分析了单端泵浦和双端泵浦的泵浦光及激光输出功率和增益在光纤中的分布，结果表明，非均匀泵浦比较适合高功率光纤激光器。
标签： Double-clad Pumped Lasers Study
上传时间： 2013-12-25
上传用户：jichenxi0730
Study on LD Pumped Yb3+ -doped Double-clad Fiber Lasers数值分析对线形腔LD泵浦掺镱的双包层光纤激光器进行研究，分析了单端泵浦和双端泵浦的泵浦光及激光输出功率和增益在光纤中的分布，结果表明，非均匀泵浦比较适合高功率光纤激光器。
标签： Double-clad Pumped Lasers Study
上传时间： 2014-01-12
上传用户：我们的船长
dpc31_hardware_description_V2.1 profibus chip document!
标签： hardware_description_V document profibus chip
上传时间： 2013-12-21
上传用户：thinode
spc3_user_description_V2.0 profibus chip document!
标签： user_description_V profibus document chip
上传时间： 2013-12-23
上传用户：yzhl1988
spc3_hardware_description_V1.3 profibus chip hardware prog document!
标签： hardware_description_V hardware document profibus
上传时间： 2013-12-14
上传用户：gonuiln
spc4-2_hardware_description profibus chip hardware prog document!
标签： hardware_description hardware document profibus
上传时间： 2016-04-05
上传用户：leehom61
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： demonstrates sequential Selection Bayesian
上传时间： 2016-04-07
上传用户：lindor
DShow player based on wince 6.0 vs2005
上传时间： 2014-01-09
上传用户：tianjinfan
