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Some standard numerical problems become intractable in high dimensions.
Yet successes are often achieved in practice. This may be explained in terms
of the underlying target function being somehow s...
On visualization of the linearity problem for mapping class groups of surfaces
visualization linearity problem mapping class groups surfaces
2012/3/1
We derive two types of linearity conditions for mapping class groups of orientable surfaces; one for once-punctured surface, and the other for closed surface, respectively. For the once-punctured case...
Periodic solutions of o.d.e. systems with a lipchitz non linearity
o.d.e. systems lipchitz non linearity Periodic solutions Dynamical Systems
2011/9/5
Abstract: In this report, we address differential systems with Lipschitz non linearities; this study is motivated by the subject of vibrations of structures with unilateral springs or non linear stres...
Periodic solutions of o.d.e. systems with a lipchitz non linearity
Periodic solutions o.d.e. systems lipchitz non linearity
2011/8/17
Abstract: In this report, we address differential systems with Lipschitz non linearities; this study is motivated by the subject of vibrations of structures with unilateral springs or non linear stres...
Global solutions to a non-local diffusion equation with quadratic non-linearity
Global solutions a non-local diffusion equation quadratic non-linearity
2011/1/21
Probing the linearity and nonlinearity in the transitions of the atmospheric circulation
linearity nonlinearity transitions atmospheric circulation
2009/11/12
In this paper, we apply the principles of information theory that relate to the definition of nonlinear predictability, which is a measure that describes both the linear and nonlinear components of a ...
How much does inclusion of non-linearity and multi-point pattern recognition improve the spatial mapping of complex patterns of groundwater contamination?
inclusion of non-linearity multi-point pattern recognition spatial mapping complex patterns
2009/10/30
In this brief communication, we discuss the implication of the hypothesis that "non-linearity and multi-point pattern recognition can improve the spatial mapping of complex patterns of groundwater con...
Non-linearity and spatial resolution in a cellular automaton model of a small upland basin
cellular automaton Cam Gill Beck upland basin
2009/6/5
The continuing development of computational fluid dynamics is allowing the high resolution study of hydraulic and sediment transport processes but, due to computational complexities, these are rarely ...
PERCENTAGE POINTS AND POWER OF AK-S TYPE TEST FOR LINEARITY IN AUTOREGRESSIVE TIME SERIES
Kolmogorov-Smirnov type test
2007/12/10
The empirical upper percentage points of the null distribution of a Kolmogorov-Smirnov type test for checking linearity in autoregressive models are tabulated in this paper, and the good power propert...
期刊信息
篇名
Third-order optical non-linearity of absorbing dye Lang-muir-Blodgett films
语种
英文
撰写或编译
作者
杜卫冲,章献民,陈抗生
第一作者单位
刊物名称
Thin Solid Films
页面
1993,Vol.232
出版日期
1993年
月
日
文章标识(ISSN)
相关项目
新型光学三次非线性LB膜及...
Ensemble prediction of floods – catchment non-linearity and forecast probabilities
Ensemble prediction floods catchment non-linearity forecast probabilities
2009/12/30
Quantifying the uncertainty of flood forecasts by ensemble methods is becoming increasingly important for operational purposes. The aim of this paper is to examine how the ensemble distribution of pre...
On the Linearity of the Schrödinger Equation
the Schrö dinger Equation the state vectors quantum field theory
2010/10/13
The problem of the linearity of the Schr¨odinger equation is described from a historical perspective. It is argued that the Schr¨odinger picture on which this equation is based cannot be retained in r...
On the Linearity of Certain Mapping Class Groups
Mapping class groups Braid groups Linear groups
2010/3/1
S. Bigelow proved that the braid groups are linear. That is, there is a faithful representation of the braid group into the general linear group of some field. Using this, we deduce from previously kn...