In this paper, we describe two algorithms to identify the repeating subwords in a given partial word \( w_o = w_0[1,…,n] \). The first algorithm uses the suffix tree and the second algorithm uses the valency tree. Both algorithms take linear time to identify the repeating subwords of a partial word.

We present a class of Coded Petri net languages and study some algebraic properties. The purpose of introduction of this language is to bring out its usefulness in learning theory. We introduce an algorithm for learning a finite coded Petri net language and its running time is bounded by a polynomial function of given inputs.

In this present investigation, the authors obtain Fekete-Szegő’s inequality for certain normalized analytic functions \( f(z) \) defined on the open unit disk. As a special case of this result, Fekete-Szegő’s inequality for a class of functions defined through fractional derivatives is obtained. The motivation of this paper is to give a generalization of the Fekete-Szegő inequalities obtained by Srivastava and Mishra and Ma and Minda.

This paper is mainly devoted to generate (special) (super) edge-magic labelings of graphs using matrices. Matrices are used in order to find lower bounds for the number of non-isomorphic (special) (super) edge-magic labelings of certain types of graphs. Also, new applications of graph labelings are discussed.

A well-designed interconnection network makes efficient use of scarce communication resources and is used in systems ranging from large supercomputers to small embedded systems on a chip. This paper deals with certain measures of vulnerability in interconnection networks. Let \( G \) be a non-complete connected graph and for \( S \subseteq V(G) \), let \( \omega(G – S) \) and \( m(G – S) \) denote the number of components and the order of the largest component in \( G – S \), respectively. The vertex-integrity of \( G \) is defined as

\[I(G) = \text{min}\{|S| + m(G – S) : S \subseteq V(G)\}.\]

A set \( S \) is called an \( I \)-set of \( G \) if \( I(G) = |S| + m(G – S) \). The rupture degree of \( G \) is defined by

\[r(G) = \text{max}\{\omega(G – S) – |S| – m(G – S) : S \subseteq V(G), \omega(G – S) \geq 2\}.\]

A set \( S \) is called an \( R \)-set of \( G \) if \( r(G) = \omega(G – S) – |S| – m(G – S) \). In this paper, we compute the rupture degree of complete binary trees and a class of meshes. We also study the relationship between an \( I \)-set and an \( R \)-set and find an upper bound for the rupture degree of Hamiltonian graphs.

In this paper, we establish the possibility of embedding a graph as an induced subgraph in an: elegant graph, harmonious graph, felicitous graph, cordial graph, odd-graceful graph, polychrome graph, and strongly c-harmonious graph, each with a given property, leading to prove the NP-completeness of some parameters like: chromatic number, clique number, domination number, and independence number
of these graphs.

This paper describes an approach based on modified invariant moments for recognition of multi-font English characters. The proposed method is independent of size and translation variations and shows better results under noisy conditions. The work treats isolated English characters which are normalized to a size of \( 33 \times 33 \) pixels and the image is thinned. As a pre-classification step, end points and Euler numbers have been estimated from this thinned image of the character. For size and translation invariance, the modified invariant moments suggested by Palaniappan have been evaluated. The system is trained for 7 different font styles with 364 images. A decision tree-based minimum distance nearest neighbor classifier has been adopted for classification. The system is tested for these seven fonts with various sizes of the characters between 8 to 72. A total of 7,280 character images are tested with this system and the success rate is found to be 99.65\%. The method shows encouraging results on multi-font/sized character images.