LACK OF SPHERE PACKING OF GRAPHS VIA NONLINEAR POTENTIAL THEORY

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On Open Packing Number of Graphs

In a graph G = (V,E), a subset $S⊂V$ is said to be an open packing set if no two vertices of S have a common neighbour in G. The maximum cardinality of an open packing set is called the open packing number and is denoted by $ρ^{o}$. This paper further studies on this parameter by obtaining some new bounds.

متن کامل

The Sphere Packing Bound via Augustin's Method

The channel coding problem is reviewed for an abstract framework. If the scaled Renyi capacities of a sequence of channels converge to a finite continuous function φ on an interval of the form (1− ε, 1] for an ε > 0, then the capacity of the sequence of channels is φ(1). If the convergence holds on an interval of the form (1 − ε, 1 + ε) then the strong converse holds. Both hypotheses hold for l...

متن کامل

From Sphere Packing to the Theory of Optimal Lattice Sampling

In this paper we introduce reconstruction kernels for the 3D optimal sampling lattice and demonstrate a practical realisation of a few. First, we review fundamentals of multidimensional sampling theory. We derive the optimal regular sampling lattice in 3D, namely the Body Centered Cubic (BCC) lattice, based on a spectral sphere packing argument. With the introduction of this sampling lattice, w...

متن کامل

on open packing number of graphs

in a graph g = (v,e), a subset s  v is said to be an open packing set if no two vertices of s have a common neighbour in g. the maximum cardinality of an open packing set is called the open packing number and is denoted by rho^o. this paper further studies on this parameter by obtaining some new bounds.

متن کامل

New horizons in sphere-packing theory, part II: lattice-based derivative-free optimization via global surrogates

Derivative-free algorithms are frequently required for the optimization of nonsmooth scalar functions in n dimensions resulting, for example, from physical experiments or from the statistical averaging of numerical simulations of chaotic systems such as turbulent flows. The core idea of all efficient algorithms for problems of this type is to keep function evaluations far apart until convergenc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Topology and Analysis

سال: 2013

ISSN: 1793-5253,1793-7167

DOI: 10.1142/s1793525313500039