A symbolical algorithm on additive basis and double-loop networks

نویسندگان

  • F. Aguiló
  • D. Arteaga
  • I. Diego
چکیده

A double-loop digraph G=G(N ; s1; s2), with gcd(N; s1; s2)=1, has the set of vertices V =ZN and the adjacencies are given by u → u + si (mod N ) i = 1; 2. The diameter of G, denoted by D(N ; s1; s2), is known to be lower bounded by lb(N ) with D(N ) = min 16s1¡s2¡N; gcd(N;s1 ; s2)=1 D(N ; s1; s2)¿ ⌈√ 3N ⌉ − 2 = lb(N ): This lower bound is known to be sharp. For a 0xed N ∈N, some algorithms to 0nd D(N ) and steps 16 ¡ ¡N such that D(N ; ; )=D(N ) are known through the bibliography, being of numerical nature all of them. In this paper we propose a symbolic algorithm on the following problem: Given a number of vertices N0 ∈N, 0nd if possible an in0nite family of tight double-loop digraphs G(x) = G(N (x); s1(x); s2(x)) such that N (x0) = N0 and D(x) = D(N (x); s1(x); s2(x)) = lb(N (x)) ∀x¿ x0. This family is parameterized by the integer x with N (x)∈Z and s1(x); s2(x)∈Z=(N (x)). As a direct consequence of such an explicit family of digraphs G(x), we also have an additive basis {s1(x); s2(x)} which covers the elements of Z=(N (x)) with optimal order. The time cost of this algorithm is O( √ N0 logN0), in the worst case. c © 2004 Elsevier B.V. All rights reserved.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sub-symbolically managing pieces of symbolical functions for sorting

We present a hybrid system for managing both symbolic and subsymbolic knowledge in a uniform way. Our aim is to solve problems where some gap in formal theories occurs which stops us from getting a fully symbolical solution. The idea is to use neural modules to functionally connect pieces of symbolical knowledge, such as mathematical formulas and deductive rules. The whole system is trained thr...

متن کامل

OPTIMUM SHAPE DESIGN OF DOUBLE-LAYER GRIDS BY QUANTUM BEHAVED PARTICLE SWARM OPTIMIZATION AND NEURAL NETWORKS

In this paper, a methodology is presented for optimum shape design of double-layer grids subject to gravity and earthquake loadings. The design variables are the number of divisions in two directions, the height between two layers and the cross-sectional areas of the structural elements. The objective function is the weight of the structure and the design constraints are some limitations on str...

متن کامل

Designing a Stochastic Multi-Product Closed Loop Supply Chain Network Considering the Discount and Solving Using the Firefly Algorithm with Decoding Based on Priority

The closed loop supply chain is becoming one of the industry's most important areas of business, due to environmental and business factors. Planning and implementing a closed loop supply chain network provide more profit, customer satisfaction, and a good social image to the company. While most supply chain networks are not equipped with back-up channels, this paper presents a mixed integer non...

متن کامل

A Multi Objective Graph Based Model for Analyzing Survivability of Vulnerable Networks

In the various fields of disaster management, choosing the best location for the Emergency Support & Supply Service Centers (ESSSCs) and the survivability of the network that provides the links between ESSSCs and their environment has a great role to be paid enough attention. This paper introduces a graph based model to measure the survivability of the linking's network. By values computed for ...

متن کامل

SEISMIC DESIGN OF DOUBLE LAYER GRIDS BY NEURAL NETWORKS

The main contribution of the present paper is to train efficient neural networks for seismic design of double layer grids subject to multiple-earthquake loading. As the seismic analysis and design of such large scale structures require high computational efforts, employing neural network techniques substantially decreases the computational burden. Square-on-square double layer grids with the va...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Theor. Comput. Sci.

دوره 319  شماره 

صفحات  -

تاریخ انتشار 2004