绊住
发表于 2025-3-26 22:00:57
Nicolas Halbwachsd, bounded subset Ω of Euclidean d-space and the ε. are random variables satisfying Eε.=0, Eε.ε.=σ., i=j, =0, i≠j, t.εΩ. The z. are observed. It is desired to estimate u, given z., ..., z.. u is only assumed to be "smooth", more precisely we assume that u is in the Sobolev space ..(Ω) of functions w
scrutiny
发表于 2025-3-27 03:41:11
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无脊椎
发表于 2025-3-27 06:35:30
Nicolas Halbwachsresults can be used to obtain a fast algorithm for choosing the smoothing parameter in the smoothing of noisy data by splines..First, we give a general theorem on the behaviour of the eigenvalues associated with a spline function. The spline functions considered here are those defined by a variation
Extemporize
发表于 2025-3-27 12:53:24
results can be used to obtain a fast algorithm for choosing the smoothing parameter in the smoothing of noisy data by splines..First, we give a general theorem on the behaviour of the eigenvalues associated with a spline function. The spline functions considered here are those defined by a variation
一个搅动不安
发表于 2025-3-27 15:53:52
Declarative languages: Lustre and Signalenjoyed much success in this context, on the one hand because it goes against uses that are firmly rooted in users’mind, and on the other hand because no reasonably efficient implementations have been proposed for data-flow languages.
有恶臭
发表于 2025-3-27 21:32:24
Book 1993of operating systems. A second surprising fact, in contrast, is the growth of research con cerning timed systems during the last decade. The handling of time has suddenly become a fundamental goal for most models of concurrency. In particular, Robin Alilner ‘s pioneering works about synchronous pro
字的误用
发表于 2025-3-28 01:09:37
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miracle
发表于 2025-3-28 03:15:43
Nicolas Halbwachs covariates. The unifying themes are the.general penalized likelihood method and the construction of.multivariate models with built-in ANOVA decompositions. Extensive.discussions are devoted to model constructi978-1-4899-8984-0978-1-4614-5369-7Series ISSN 0172-7397 Series E-ISSN 2197-568X
禁止,切断
发表于 2025-3-28 08:00:47
Nicolas Halbwachsime data and covariates. The unifying themes are the general penalized likelihood method and the construction of multivariate models with built-in ANOVA decompositions. Extensive discussions are devoted to mode978-1-4757-3683-0Series ISSN 0172-7397 Series E-ISSN 2197-568X
phytochemicals
发表于 2025-3-28 12:07:54
Nicolas Halbwachsive analysts the ability to highlight unusual structure very effectively, by taking advantage of people‘s abilities to draw conclusions from well-designed graphics. Data analysts should take advan tage of this, they will argue.978-1-4612-8472-7978-1-4612-4026-6Series ISSN 0172-7397 Series E-ISSN 2197-568X