Abstract For a parameter dimension $$d\in {\mathbb {N}}$$ d ? N , we consider the approximation of many-parametric maps $$u: [-\,1,1]^d\rightarrow R}$$ u : [ - ...

In this work, we characterize cluster-invariant point processes for critical branching spatial on Rd all large enough d when the motion law is α-stable or has a finite discrete range. More precisely, with α≤2 and offspring μ of process an heavy tail such that μ(k)∼k−2−β, then need dimension to be strictly larger than α∕β. particular, Brownian second moment, 2. Contrary previous work Bramson, Co...

In this paper, we present a method for denoising and reconstruction of low-dimensional manifold in high-dimensional space. We suggest multidimensional extension the Locally Optimal Projection algorithm which was introduced by Lipman et al. 2007 surface 3D. The bypasses curse dimensionality avoids need carrying out dimensional reduction. It is based on non-convex optimization problem, leverages ...

background: cancer detection always has a lot of stress and nervousness which, apart from physical injuries, will affect quality of life. the aim of this study was to investigate the relationship between resiliency and quality of life by moderating the role of duration of awareness of cancer. methods: population of the study included all patients with cancer who were under treatment in yazd for...