修改版的matlab的數(shù)學(xué)物理方程數(shù)值算法源程序。這是"Numerical methods for Physics"第二版的matlab源程序（修改版）。
標(biāo)簽： matlab Numerical methods Physics
上傳時間： 2016-02-19
上傳用戶：13188549192
Different methods for generating pyramid data structure have been analysed, these effects in image matching are compared, also a fast
標(biāo)簽： generating Different structure analysed
上傳時間： 2016-04-26
上傳用戶：LIKE
Different methods for generating pyramid data structure have been analysed, thesea fast algorithm of pyramid data struct is provided.
標(biāo)簽： generating Different algorithm structure
上傳時間： 2013-12-17
上傳用戶：SimonQQ
Implement the following integer methods: a) Method celsius returns the Celsius equivalent of a Fahrenheit calculation celsius = 5.0 / 9.0 * ( fahrenheit - 32 ) b) Method fahrenheit returns the Fahrenheit equivalent of a Celsius the calculation fahrenheit = 9.0 / 5.0 * celsius + 32 c) Use the methods from parts (a) and (b) to write an application either to enter a Fahrenheit temperature and display the Celsius or to enter a Celsius temperature and display the Fahrenheit equivalent.
標(biāo)簽： equivalent Implement the following
上傳時間： 2014-01-19
上傳用戶：jackgao
This PPT which talk about the several methods of ofdm synchronization
標(biāo)簽： synchronization several methods which
上傳時間： 2016-05-09
上傳用戶：sxdtlqqjl
書名：John.Wiley.Sons.Multimedia.Content.and.the.Semantic.Web.Standards.methods.and.Tools.Jun.2005.eBook-LinG 書中介紹彩信的內(nèi)容和標(biāo)準(zhǔn)。
標(biāo)簽： Multimedia Standards and Semantic
上傳時間： 2016-05-17
上傳用戶：yzhl1988
WMTSA toolbox is an implemenation for MATLAB of the wavelet methods for time series analysis techniques presented in: Percival, D. B. and A. T. Walden (2000) Wavelet methods for Time Series Analysis. Cambridge: Cambridge University Press.
標(biāo)簽： implemenation for analysis toolbox
上傳時間： 2014-01-15
上傳用戶：huangld
Sequential Monte Carlo without Likelihoods 粒子濾波不用似然函數(shù)的情況下 本文摘要:Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributions in the presence of analytically or computationally intractable likelihood functions. Despite representing a substantial methodological advance, existing methods based on rejection sampling or Markov chain Monte Carlo can be highly inefficient, and accordingly require far more iterations than may be practical to implement. Here we propose a sequential Monte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrate its implementation through an epidemiological study of the transmission rate of tuberculosis.
標(biāo)簽： Likelihoods Sequential Bayesian without
上傳時間： 2016-05-26
上傳用戶：離殤
安全嵌入式系統(tǒng)的設(shè)計技巧.pdf The Use of Formal methods
上傳時間： 2014-01-25
上傳用戶：梧桐
BASIC MULTIDIMENSIONAL GRADIENT methods，主要用于解決最優(yōu)化問題
標(biāo)簽： MULTIDIMENSIONAL GRADIENT methods BASIC
上傳時間： 2016-07-01
上傳用戶：z754970244
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