Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where S. Pirzada is active.

Publication


Featured researches published by S. Pirzada.


Discrete Applied Mathematics | 2014

Energy of signed digraphs

S. Pirzada; Mushtaq Ahmad Bhat

In this paper we extend the concept of energy to signed digraphs and we obtain Coulsons integral formula for energy of signed digraphs. We compute formulae for energies of signed directed cycles and we show that energy of non cycle balanced signed directed cycles increases monotonically with respect to the number of vertices. We extend the concept of non-complete extended p sum (or briefly, NEPS) to signed digraphs. We construct infinite families of noncospectral equienergetic signed digraphs. Moreover, we extend McClellands inequality to signed digraphs and also obtain a sharp upper bound for the energy of a signed digraph in terms of the number of arcs. Some open problems are also given at the end.


Archive | 2015

Spectra, Energy and Laplacian Energy of Strong Double Graphs

S. Pirzada; Hilal A. Ganie

For a graph G with vertex set \(V (G)\,=\,\{v_{1},v_{2},\cdots \,,v_{n}\}\), the strong double graph SD(G) is a graph obtained by taking two copies of G and joining each vertex v i in one copy with the closed neighbourhood N[v i ] = N(v i ) ∪{ v i } of corresponding vertex in another copy. In this paper, we study spectra, energy and Laplacian energy of the graph SD(G). We also obtain some new families of equienergetic and L-equienergetic graphs, and an infinite family of graphs G for which LE(G) < E(G). We derive a formula for the number of spanning trees of SD(G) in terms of the number of spanning trees of G.


Acta Universitatis Sapientiae: Informatica | 2014

Energy, Laplacian energy of double graphs and new families of equienergetic graphs

Hilal A. Ganie; S. Pirzada; Antal Iványi

Abstract For a graph G with vertex set V(G) = {v1, v2, . . . , vn}, the extended double cover G* is a bipartite graph with bipartition (X, Y), X = {x1, x2, . . . , xn} and Y = {y1, y2, . . . , yn}, where two vertices xi and yj are adjacent if and only if i = j or vi adjacent to vj in G. The double graph D[G] of G is a graph obtained by taking two copies of G and joining each vertex in one copy with the neighbors of corresponding vertex in another copy. In this paper we study energy and Laplacian energy of the graphs G* and D[G], L-spectra of Gk* the k-th iterated extended double cover of G. We obtain a formula for the number of spanning trees of G*. We also obtain some new families of equienergetic and L-equienergetic graphs.


Journal of Applied Mathematics and Computing | 2007

SCORE SEQUENCES IN ORIENTED GRAPHS

S. Pirzada; T. A. Naikoo; N. A. Shah

AbstractAn oriented graph is a digraph with no symmetric pairs of directed arcs and without loops. The score of a vertexvi in an oriented graph D is


Electronic Journal of Graph Theory and Applications (EJGTA) | 2015

On energy, Laplacian energy and

Hilal A. Ganie; S. Pirzada; Edy Tri Baskoro


Discrete Applied Mathematics | 2015

p

Mushtaq Ahmad Bhat; S. Pirzada

a_{v_i }


Linear & Multilinear Algebra | 2016

-fold graphs

Mushtaq Ahmad Bhat; S. Pirzada


Electronic Journal of Graph Theory and Applications (EJGTA) | 2015

On equienergetic signed graphs

S. Pirzada; Muhammad Ali Khan; Zhou Guofei; Koko K. Kayibi

(or simply ai)


Linear & Multilinear Algebra | 2013

Spectra and energy of bipartite signed digraphs

Koko K. Kayibi; Muhammad Ali Khan; S. Pirzada


Discrete Applied Mathematics | 2017

On scores, losing scores and total scores in hypertournaments

Hilal A. Ganie; S. Pirzada

d_{v_i }^ -

Collaboration


Dive into the S. Pirzada's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Antal Iványi

Eötvös Loránd University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge