A Probabilistic, -euclidean Althorthm That Yielps Small Coefficients

نویسندگان

  • A. Paz
  • Gyora M. Benedek
چکیده

Given n positive integers a 1.a2• ••• .a,... a probabilistic algorithm for the solution of the equation 1& • 'LajXj=gcd(al.a2.· .• .a,..) is provided. The algorithm has the.following properties: If the distribution j=f of the aj's over an interval [O,2t+l) is uniform or nonincreasing and the density of the aj's n log9/s(k+lie) d I ( ) satisfies the inequality d~l+ k ' then the algorithm succeeds with probilbilog maxaj , ity greater than l-e and the resulting x;'s satisfy the inequalities: max IXj I<O.62(maxaj )0.694 and LlxjJ <1.004(ntaxaj)O.694. A more general problem is solved in a similar way. T ec hn io n C om pu te r Sc ie nc e D ep ar tm en t T eh ni ca l R ep or t C S0 48 1 19 87

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

A full Nesterov-Todd step interior-point method for circular cone optimization

In this paper, we present a full Newton step feasible interior-pointmethod for circular cone optimization by using Euclidean Jordanalgebra. The search direction is based on the Nesterov-Todd scalingscheme, and only full-Newton step is used at each iteration.Furthermore, we derive the iteration bound that coincides with thecurrently best known iteration bound for small-update methods.

متن کامل

Sparse Polynomial Interpolation and the Fast Euclidean Algorithm

We introduce an algorithm to interpolate sparse multivariate polynomials with integer coefficients. Our algorithm modifies Ben-Or and Tiwari’s deterministic algorithm for interpolating over rings of characteristic zero to work modulo p, a smooth prime of our choice. We present benchmarks comparing our algorithm to Zippel’s probabilistic sparse interpolation algorithm, demonstrating that our alg...

متن کامل

Probabilistic vs. Geometric Similarity Measures for Image Retrieval

Similarity between images in image retrieval is measured by computing distances between feature vectors. This paper presents a probabilistic approach and describes two likelihood-based similarity measures for image retrieval. Popular distance measures like the Euclidean distance implicitly assign more weighting to features with large ranges than those with small ranges. First, we discuss the ef...

متن کامل

Navigation in a Small World

Small-world networks are a class of random graphs which have both high clustering coefficients and low mean separation distance, serving as a model for complex systems such as social networks and the brain. In this paper, we investigate paths on Euclidean networks, a generalization of smallworld networks characterized by an exponent δ, using scaling arguments and the renormalization group. We f...

متن کامل

Secure probabilistic location verification in randomly deployed wireless sensor networks q

Security plays an important role in the ability to deploy and retrieve trustworthy data from a wireless sensor network. Location verification is an effective defense against attacks which take advantage of a lack, or compromise, of location information. In this work, a secure probabilistic location verification method for randomly deployed dense sensor networks is proposed. The proposed Probabi...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013