“…If A is an n-square matrix and i and j are positive integers, 1 ^ i, j ^ n, 1 (3) and the assertion about equality hold in case n = 2. Assume that they hold for all non-negative (n -l)-square matrices.…”
Let v = (a1 …, an) be a real n-tuple and be the numbers a1 …, an arranged in decreasing order. Let denote the sum of m greatest components of v and the sum of m smallest components of v, i.e.,
“…If A is an n-square matrix and i and j are positive integers, 1 ^ i, j ^ n, 1 (3) and the assertion about equality hold in case n = 2. Assume that they hold for all non-negative (n -l)-square matrices.…”
Let v = (a1 …, an) be a real n-tuple and be the numbers a1 …, an arranged in decreasing order. Let denote the sum of m greatest components of v and the sum of m smallest components of v, i.e.,
“…In order to describe proper characterisation of the OOS as derived from combinatorial considerations, a permanent matrix P, is proposed (Jurkat and Ryser, 1996). The matrix function/permanent Per(P) of VPSSM -OOS is capable of describing a whole OOS i.e., system graph in a single multinomial equation.…”
Section: Variable Permanent System Structure Matrix (Vpssm -Oos)mentioning
Object oriented methodology is becoming popular in the development of present day software. It is necessary to analyse architecture at the early stages of the development life cycle in order to avoid pitfalls in the quality of finished product. In the present work, a unitary system methodology for structural (architecture) modelling and analysis of Object-Oriented Systems (OOSs) is presented that describes the characteristics of performance, quality and reliability. The current work is an attempt to formulate computationally simple and analytical method to develop the structural design and analysis of OOS.
“…A fascinating approach for obtaining upper bounds for permanents of n X n complex matrices was described by Jurkat and Ryser [20]. Given an n X n matrix A they constructed (£i) X (") matrices P t (A% i = 1, ..., n, whose entries are constructed from the entries of row i of A such that the matrix of the right being a 1 X 1 matrix whose unique entry is per A.…”
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