On the dependence of the maximum cycle mean of a matrix on permutations of the rows and columns
نویسندگان
چکیده
Let (G, -, 5) be a radicable, linearly ordered, commutative group. Given a square matrix A = (a$ of order n with entries from G and a cyclic permutation o = (il. . . . , i,) of a subset of N=I1,2 . . . ,n} we define p(a), the mean weight of o, as (ai,iz * ai2i3 *-a ai,_ ,ir* ai,i,)“’ and 1(A), the maximum cycle mean (MCM) of A, as max,,u(o), where o ranges over all cyclic permutations of subsets of N. We study the dependence of the MCM of a matrix on the permutations of its rows and columns and particularly we prove an O(n*) algorithm for checking whether 1(A) = rl(A’) holds for any matrix A’ which can be obtained from A by permuting its rows and columns.
منابع مشابه
Synoptic Analysis of Early Heat Waves in Northwest of Iran
Early heat waves are extreme events that cause heavy losses in plant and animal life and cause many social and economic problems for communities. The purpose of this study was to identify synoptic patterns and statistical analysis of preterm heat waves in northwestern Iran. To do this, the maximum daily temperature data of March 14th was used for fourteen synoptic stations in the northwest of t...
متن کاملNew results on the quasi-commuting inverses
A matrix has an ordinary inverse only if it is square, and even then only if it is nonsingular or, inother words, if its columns (or rows) are linearly independent. In recent years needs have been felt innumerous areas of applied mathematics for some kind of partial inverse of a matrix that is singularor even rectangular. In this paper, some results on the Quasi-commuting inverses, are given an...
متن کاملGraph Matrix Completion in Presence of Outliers
Matrix completion problem has gathered a lot of attention in recent years. In the matrix completion problem, the goal is to recover a low-rank matrix from a subset of its entries. The graph matrix completion was introduced based on the fact that the relation between rows (or columns) of a matrix can be modeled as a graph structure. The graph matrix completion problem is formulated by adding the...
متن کاملCompression of Breast Cancer Images By Principal Component Analysis
The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most relevant information of X. These eigenvectors are called principal components [8]. Ass...
متن کاملCompression of Breast Cancer Images By Principal Component Analysis
The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most relevant information of X. These eigenvectors are called principal components [8]. Ass...
متن کاملذخیره 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 ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Discrete Applied Mathematics
دوره 23 شماره
صفحات -
تاریخ انتشار 1989