نتایج جستجو برای: automatically bounded and w w continuous

تعداد نتایج: 16932728  

Journal: :Proceedings of the National Academy of Sciences of the United States of America 1968
E M Stein N J Weiss

1. The purpose of this note is to describe the extension of the almost everywhere convergence of Poisson integrals to the case of the bounded symmetric domains of Cartan. It is useful to realize such a bounded symmetric domain D as a generalized upper half-plane (i.e., a Siegel domain of type II), and this is done as follows. Let V1 and V2 be two finite-dimensional vector spaces over C. Assume ...

Journal: :Int. J. Math. Mathematical Sciences 2006
Douadi Drihem Madani Moussai

where F and B, with three indices, will denote the Lizorkin-Triebel space Fs p,q and the Besov space Bp,q, respectively. The different embeddings obtained here are under certain restrictions on the parameters. In this introduction, we will recall the definition of some spaces and some necessary tools. In Sections 2 and 3, we give the first contribution of this work. The theorems of Section 2 wi...

2007
Patterson F G Patterson

In this paper we look at a number of approaches for modeling the system acquisition process. Beginning with the waterfall model of Winston Royce, we continue with derivation that includes more intricate and detailed waterfall models with feedback, including the “V” and spiral models. In addition we look at several acquisition strategies. In reviewing the various models we discuss our view that ...

2014
Xin Chen Xue-Mei Li

We prove the strong completeness for a class of non-degenerate SDEs, whose coefficients are not necessarily uniformly elliptic nor locally Lipschitz continuous nor bounded. Moreover, for each p > 0 there is a positive number T (p) such that for all t < T (p), the solution flow Ft(·) belongs to the Sobolev space W 1,p loc . The main tool for this is the approximation of the associated derivative...

2016
Yong Xu Qiang Huang Wenwu Wang Mark D. Plumbley

In this paper, we present a deep neural network (DNN)-based acoustic scene classification framework. Two hierarchical learning methods are proposed to improve the DNN baseline performance by incorporating the hierarchical taxonomy information of environmental sounds. Firstly, the parameters of the DNN are initialized by the proposed hierarchical pre-training. Multi-level objective function is t...

Journal: :SIAM J. Discrete Math. 1997
Siddharthan Ramachandramurthi

For each pair of nonadjacent vertices in a graph, consider the greater of the degrees of the two vertices. The minimum of these maxima is a lower bound on the treewidth of a graph, unless it is a complete graph. This bound has three consequences. First, the obstructions of order w + 3 for treewidth w have a simple structural characterization. Second, these graphs are exactly the pathwidth obstr...

Journal: :Journal of Functional Analysis 1986

2006
Guy Wood-Bradley Kathy Blashki

Guy Wood-Bradley

2007
GÉRARD BEN AROUS STANISLAV MOLCHANOV ALEJANDRO F. RAMÍREZ

We describe a universal transition mechanism between annealed and quenched regimes in the context of reaction-diffusion in random media. We study the total population size for random walks which branch and annihilate on Z d , with time-independent random rates. The random walks are independent , continuous time, rate 2dκ, simple, symmetric, with κ ≥ 0. A random walk at x ∈ Z d , binary branches...

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