ORIGINAL_ARTICLE
Theta Graph Designs
We solve the design spectrum problem for all theta graphs with 10, 11, 12, 13, 14 and 15 edges.
https://jac.ut.ac.ir/article_7963_0512bf59e0fecd0dc77de2de97c2c8c6.pdf
2017-06-01
1
16
10.22059/jac.2017.7963
Graph design
Graph decomposition
Theta graph
Anthony D.
Forbes
anthony.d.forbes@gmail.com
1
Department of Mathematics and Statistics, The Open University, Milton Keynes MK7 6AA, UK.
LEAD_AUTHOR
Terry S.
Griggs
terry.griggs@open.ac.uk
2
Department of Mathematics and Statistics, The Open University, Milton Keynes MK7 6AA, UK.
AUTHOR
Tamsin J.
Forbes
tamsin.forbes@gmail.com
3
22 St Albans Road, Kingston upon Thames KT2 5HQ, UK
AUTHOR
ORIGINAL_ARTICLE
Remainder Cordial Labeling of Graphs
In this paper we introduce remainder cordial labeling of graphs. Let $G$ be a $(p,q)$ graph. Let $f:V(G)\rightarrow \{1,2,...,p\}$ be a $1-1$ map. For each edge $uv$ assign the label $r$ where $r$ is the remainder when $f(u)$ is divided by $f(v)$ or $f(v)$ is divided by $f(u)$ according as $f(u)\geq f(v)$ or $f(v)\geq f(u)$. The function$f$ is called a remainder cordial labeling of $G$ if $\left| e_{f}(0) - e_f(1) \right|\leq 1$ where $e_{f}(0)$ and $e_{f}(1)$ respectively denote the number of edges labelled with even integers and odd integers. A graph $G$ with a remainder cordial labeling is called a remainder cordial graph. We investigate the remainder cordial behavior of path, cycle, star, bistar, crown, comb, wheel, complete bipartite $K_{2,n}$ graph. Finally we propose a conjecture on complete graph $K_{n}$.
https://jac.ut.ac.ir/article_7965_9bf96b3c6575b2e98518384f18e0de66.pdf
2017-06-01
17
30
10.22059/jac.2017.7965
vertex equitable labeling
vertex Path
cycle
Star
Bistar
Crown
Comb
Wheel
complete bipartite graph
complete graph graph
R.
Ponraj
ponrajmaths@gmail.com
1
Department of Mathematics, Sri Paramakalyani College, Alwarkurichi{627 412, India
LEAD_AUTHOR
K.
Annathurai
kanathuraitvcmaths@gmail.com
2
Department of Mathematics, Thiruvalluvar College,, Papanasam{627 425, India
AUTHOR
R.
Kala
karthipyi91@yahoo.co.in
3
Department of Mathematics, Manonmaniam Sundaranar University, Tirunelveli{ 627 012, India.
AUTHOR
ORIGINAL_ARTICLE
Asteroidal number for some product graphs
The notion of Asteroidal triples was introduced by Lekkerkerker and Boland [6]. D.G.Corneil and others [2], Ekkehard Kohler [3] further investigated asteroidal triples. Walter generalized the concept of asteroidal triples to asteroidal sets [8]. Further study was carried out by Haiko Muller [4]. In this paper we find asteroidal numbers for Direct product of cycles, Direct product of path and cycle, Strong product of paths and cycles and some more graphs.
https://jac.ut.ac.ir/article_7979_01beaa9142c979dd177ee0b4e047fdf0.pdf
2017-06-01
31
43
10.22059/jac.2017.7979
vertex equitable labeling
Asteroidal number
asteroidal sets
independence number
cartesian product
S.
ALAGU
alagu391@gmail.com
1
Department of Mathematics, Manonmaniam Sundaranar University, Tirunelveli - 627 012, Tamilnadu, India
LEAD_AUTHOR
R.
KALA
karthipyi91@yahoo.co.in
2
Department of Mathematics, Manonmaniam Sundaranar University, Tirunelveli - 627 012, Tamilnadu, India
AUTHOR
ORIGINAL_ARTICLE
Edge-tenacity in Networks
Numerous networks as, for example, road networks, electrical networks and communication networks can be modeled by a graph. Many attempts have been made to determine how well such a network is "connected" or stated differently how much effort is required to break down communication in the system between at least some nodes. Two well-known measures that indicate how "reliable" a graph is are the "Tenacity" and "Edge-tenacity" of a graph. In this paper we present results on the tenacity and edge-tenacity, $T_e(G)$, a new invariant, for several classes of graphs. Basic properties and some bounds for edge-tenacity, $T_e(G)$, are developed. Edge-tenacity values for various classes of graphs are calculated and future work andconcluding remarks are summarized
https://jac.ut.ac.ir/article_7980_d39c785dea8c5952d0d192f44c767675.pdf
2017-06-01
45
53
10.22059/jac.2017.7980
Edge-tenacity
network vulnerability
Dara
Moazzami
dmoazzami@ut.ac.ir
1
University of Tehran, College of Engineering, Department of Engineering Science
LEAD_AUTHOR
ORIGINAL_ARTICLE
Linear optimization on the intersection of two fuzzy relational inequalities defined with Yager family of t-norms
In this paper, optimization of a linear objective function with fuzzy relational inequality constraints is investigated where the feasible region is formed as the intersection of two inequality fuzzy systems and Yager family of t-norms is considered as fuzzy composition. Yager family of t-norms is a parametric family of continuous nilpotent t-norms which is also one of the most frequently applied one. This family of t-norms is strictly increasing in its parameter and covers the whole spectrum of t-norms when the parameter is changed from zero to infinity. The resolution of the feasible region of the problem is firstly investigated when it is defined with max-Yager composition. Based on some theoretical results, conditions are derived for determining the feasibility. Moreover, in order to simplify the problem, some procedures are presented. It is shown that a lower bound is always attainable for the optimal objective value. Also, it is proved that the optimal solution of the problem is always resulted from the unique maximum solution and a minimal solution of the feasible region. A method is proposed to generate random feasible max-Yager fuzzy relational inequalities and an algorithm is presented to solve the problem. Finally, an example is described to illustrate these algorithms
https://jac.ut.ac.ir/article_7981_efef0843919600ca87fd333cdebadf64.pdf
2017-06-01
55
82
10.22059/jac.2017.7981
Fuzzy relation
fuzzy relational inequality
linear optimization
fuzzy compositions and t-norms
Amin
Ghodousian
a.ghodousian@ut.ac.ir
1
Faculty of Engineering Science, College of Engineering, University of Tehran, P.O.Box 11365-4563, Tehran, Iran
LEAD_AUTHOR
Reza
Zarghani
rezazarghani@ut.ac.ir
2
School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, 11155-4563, Iran
AUTHOR
ORIGINAL_ARTICLE
Tenacity and some related results
Conceptually graph vulnerability relates to the study of graphintactness when some of its elements are removed. The motivation forstudying vulnerability measures is derived from design and analysisof networks under hostile environment. Graph tenacity has been anactive area of research since the the concept was introduced in1992. The tenacity T(G) of a graph G is defined as\begin{center} $T(G)=\displaystyle \min_{A\subset V(G)}\{\frac{\mid A\mid +\tau(G-A)}{\omega(G-A)}\}$\end{center}where $\tau(G-A)$ denotes the order (the number of vertices) of alargest component of G-A and $\omega(G-A)$ is the number ofcomponents of G-A. In this paper we discuss tenacity and its properties invulnerability calculation.
https://jac.ut.ac.ir/article_7986_4ca995acf8ce801abe8eb3b4123a284c.pdf
2017-06-01
83
91
10.22059/jac.2017.7986
vertex connectivity
toughness
binding number
independence number
edge-connectivity
Dara
Moazzami
dmoazzami@ut.ac.ir
1
University of Tehran, College of Engineering, Department of Engineerng Science
LEAD_AUTHOR
ORIGINAL_ARTICLE
An improved algorithm to reconstruct a binary tree from its inorder and postorder traversals
It is well-known that, given inorder traversal along with one of the preorder or postorder traversals of a binary tree, the tree can be determined uniquely. Several algorithms have been proposed to reconstruct a binary tree from its inorder and preorder traversals. There is one study to reconstruct a binary tree from its inorder and postorder traversals, and this algorithm takes running time of $ \BigO{\emph{n}^2} $. In this paper, we present $ \proc{InPos} $ an improved algorithm to reconstruct a binary tree from its inorder and postorder traversals. The running time and space complexity of the algorithm are an order of $ \BigTheta{\emph{n}} $ and $ \BigTheta{\emph{n}} $ respectively, which we prove to be optimal. The $ \proc{InPos} $ algorithm not only reconstructs the binary tree, but also it determines different types of the nodes in a binary tree; nodes with two children, nodes with one child, and nodes with no child. At the end, the $ \proc{InPos} $ returns a matrix-based structure to represent the binary tree, and enabling access to any structural information of the reconstructed tree in linear time with any given tree traversals.
https://jac.ut.ac.ir/article_7987_96afa0a5a26a75bad5082fc1b7e92603.pdf
2017-06-01
93
113
10.22059/jac.2017.7987
Binary tree
Preorder traversal
Inorder traversal
Postorder traversal
time complexity
Space complexity
Niloofar
Aghaieabiane
na396@njit.edu
1
Department of Engineering, School of Computer Science, New Jersey Institute of Technology, Newark, New Jersey, the USA.
AUTHOR
Henk
Koppelaar
koppelaar.henk@gmail.com
2
Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands.
AUTHOR
Peyman
Nasehpour
nasehpour@gut.ac.ir, nasehpour@gmail.com
3
Golpayegan University of Technology, Department of Engineering Science, Golpayegan, Iran.
LEAD_AUTHOR
ORIGINAL_ARTICLE
Linear optimization on Hamacher-fuzzy relational inequalities
In this paper, optimization of a linear objective function with fuzzy relational inequality constraints is investigated where the feasible region is formed as the intersection of two inequality fuzzy systems and Hamacher family of t-norms is considered as fuzzy composition. Hamacher family of t-norms is a parametric family of continuous strict t-norms, whose members are decreasing functions of the parameter. The resolution of the feasible region of the problem is firstly investigated when it is defined with max-Hamacher composition. Based on some theoretical results, a necessary and sufficient condition and three other necessary conditions are derived for determining the feasibility. Moreover, in order to simplify the problem, some procedures are presented. It is shown that a lower bound is always attainable for the optimal objective value. Also, it is proved that the optimal solution of the problem is always resulted from the unique maximum solution and a minimal solution of the feasible region. A method is proposed to generate random feasible max-Hamacher fuzzy relational inequalities and an algorithm is presented to solve the problem. Finally, an example is described to illustrate these algorithms.
https://jac.ut.ac.ir/article_7988_dbb5f79575a0d1ab22f76d1af7278869.pdf
2017-06-01
115
150
10.22059/jac.2017.7988
Fuzzy relation
fuzzy relational inequality
linear optimization
fuzzy compositions and t-norms
Amin
Ghodousian
a.ghodousian@ut.ac.ir
1
Faculty of Engineering Science, College of Engineering, University of Tehran, P.O.Box 11365-4563, Tehran, Iran
LEAD_AUTHOR
Mohammadsadegh
Nouri
msadegh$\_$nouri@ut.ac.ir
2
Faculty of Engineering Science, College of Engineering, University of Tehran, P.O.Box 11365-4563, Tehran, Iran.
AUTHOR