2021-06-20T17:29:56Z https://jac.ut.ac.ir/?_action=export&rf=summon&issue=111
2016-06-01
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 3-difference cordial labeling of some cycle related graphs R. Ponraj M. Maria Adaickalam Let G be a (p, q) graph. Let k be an integer with 2 ≤ k ≤ p and f from V (G) to the set {1, 2, . . . , k} be a map. For each edge uv, assign the label |f(u) − f(v)|. The function f is called a k-difference cordial labeling of G if |νf (i) − vf (j)| ≤ 1 and |ef (0) − ef (1)| ≤ 1 where vf (x) denotes the number of vertices labelled with x (x ∈ {1, 2 . . . , k}), ef (1) and ef (0) respectively denote the number of edges labelled with 1 and not labelled with 1. A graph with a k-difference cordial labeling is called a k-difference cordial graph. In this paper we investigate the 3-difference cordial labeling of wheel, helms, flower graph, sunflower graph, lotus inside a circle, closed helm, and double wheel. Path cycle Wheel Star 2016 06 01 1 10 https://jac.ut.ac.ir/article_7927_2058a8520b6be55a66b6d88cf1ff676f.pdf
2016-06-01
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 A Survey on Complexity of Integrity Parameter Mahmood Shabankhah Many graph theoretical parameters have been used to describe the vulnerability of communication networks, including toughness, binding number, rate of disruption, neighbor-connectivity, integrity, mean integrity, edgeconnectivity vector, l-connectivity and tenacity. In this paper we discuss Integrity and its properties in vulnerability calculation. The integrity of a graph G, I(G), is defined to be min(| S | +m(G − S)) where S ⊂ V (G) and m(G − S) is the maximum order of the components of G − S. Similarly the edge-integrity of G is I′(G) := min(| S | +m(G − S)) where now S ⊆ E(G). Here and through the remaining sections, by an I-set (with respect to some prescribed graph G) we will mean a set S ⊂ V (G) for which I(G) =| S | +m(G − S). We define an I′-set similarly. In this paper we show a lower bound on the edgeintegrity of graphs and present an algorithm for its computation. Integrity parameter toughness neighborconnectivity mean integrity edge-connectivity vector l-connectivity and tenacity 2016 06 01 11 19 https://jac.ut.ac.ir/article_7931_cbdf47ab50798add111a36ddb52c43be.pdf
2016-06-02
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 On Generalized Weak Structures R. Jamunarani P. Jeyanthi T. Noiri Avila and Molina  introduced the notion of generalized weak structures which naturally generalize minimal structures, generalized topologies and weak structures and the structures α (g),π(g),σ(g) and β (g). This work is a further investigation of generalized weak structures due to Avila and Molina. Further we introduce the structures ro(g) and rc(g) and study the properties of the structures ro(g), rc(g), and also further properties of α (g),π(g),σ(g) and β (g) due to . Generalized weak structure ro(g) rc(g) α (g) π(g) σ(g) β (g) 2016 06 02 21 26 https://jac.ut.ac.ir/article_7932_9e73174a81cdfca4a7d711bd908dca2a.pdf
2016-06-01
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 Online Scheduling of Jobs for D-benevolent instances On Identical Machines I. Mohammadi Dara Moazzami We consider online scheduling of jobs with speci c release time on m identical machines. Each job has a weight and a size; the goal is maximizing total weight of completed jobs. At release time of a job it must immediately be scheduled on a machine or it will be rejected. It is also allowed during execution of a job to preempt it; however, it will be lost and only weight of completed jobs contribute on pro t of the algorithm. In this paper we study D-benevolent instances which is a wide and standard class and we give a new algorithm, that admits (2m + 4)-competitive ratio. It is almost half of the previous known upper bound for this problem. Online Algorithms Scheduling Identical Machine Upper bound 2016 06 01 27 36 https://jac.ut.ac.ir/article_7933_f66b689563341f19f8abe5d5de8da400.pdf
2016-06-01
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 Mixed cycle-E-super magic decomposition of complete bipartite graphs G. Marimuthu S. Stalin Kumar An H-magic labeling in a H-decomposable graph G is a bijection f : V (G) ∪ E(G) → {1, 2, ..., p + q} such that for every copy H in the decomposition, ΣνεV(H) f(v) +  ΣeεE(H) f(e) is constant. f is said to be H-E-super magic if f(E(G)) = {1, 2, · · · , q}. A family of subgraphs H1,H2, · · · ,Hh of G is a mixed cycle-decomposition of G if every subgraph Hi is isomorphic to some cycle Ck, for k ≥ 3, E(Hi) ∩ E(Hj) = ∅ for i ≠ j and ∪hi=1E(Hi) = E(G). In this paper, we prove that K2m,2n is mixed cycle-E-super magic decomposable where m ≥ 2, n ≥ 3, with the help of the results found in . H-decomposable graph H-E-super magic labeling mixed cycle-E-super magic decomposable graph 2016 06 01 37 52 https://jac.ut.ac.ir/article_7934_5f537569fcfee7d3d929abdef859d33f.pdf
2016-03-19
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 Heuristic and exact algorithms for Generalized Bin Covering Problem S. Jabari Dara Moazzami A. Ghodousian In this paper, we study the Generalized Bin Covering problem. For this problem an exact algorithm is introduced which can nd optimal solution for small scale instances. To nd a solution near optimal for large scale instances, a heuristic algorithm has been proposed. By computational experiments, the eciency of the heuristic algorithm is assessed. Generalized Bin Covering Problem heuristic algorithm greedy algorithm 2016 03 19 53 62 https://jac.ut.ac.ir/article_7936_ead5452fc8136548321a56c8bfa77888.pdf
2016-06-10
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 Zarankiewicz Numbers and Bipartite Ramsey Numbers Alex F. Collins Alexander W. N. Riasanovsky John C. Wallace Stanis law P. Radziszowski The Zarankiewicz number z(b; s) is the maximum size of a subgraph of Kb,b which does not contain Ks,s as a subgraph. The two-color bipartite Ramsey number b(s, t) is the smallest integer b such that any coloring of the edges of Kb,b with two colors contains a Ks,s in the rst color or a Kt,t in the second color.In this work, we design and exploit a computational method for bounding and computing Zarankiewicz numbers. Using it, we obtain several new values and bounds on z(b; s) for 3≤s≤6. Our approach and new knowledge about z(b; s) permit us to improve some of the results on bipartite Ramsey numbers obtained by Zarankiewicz number bipartite Ramsey number 2016 06 10 63 78 https://jac.ut.ac.ir/article_7943_0d5d2a7f40f78dfe0e529df98f3049dd.pdf
2016-04-01
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 Randomized Algorithm For 3-Set Splitting Problem and it's Markovian Model Mahdi Heidari Ali Golshani D. Moazzami Ali Moeini In this paper we restrict every set splitting problem to the special case in which every set has just three elements. This restricted version is also NP-complete. Then, we introduce a general conversion from any set splitting problem to 3-set splitting. Then we introduce a randomize algorithm, and we use Markov chain model for run time complexity analysis of this algorithm. In the last section of this paper we introduce "Fast Split" algorithm. NP-complete problem set splitting problem SAT problem Markov chain 2016 04 01 79 92 https://jac.ut.ac.ir/article_7944_cf76fdb4b0ab6812faebfef5f611d4d6.pdf
2016-03-24
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 A Cellular Automaton Based Algorithm for Mobile Sensor Gathering S. Saadatmand D. Moazzami A. Moeini In this paper we proposed a Cellular Automaton based local algorithm to solve the autonomously sensor gathering problem in Mobile Wireless Sensor Networks (MWSN). In this problem initially the connected mobile sensors deployed in the network and goal is gather all sensors into one location. The sensors decide to move only based on their local information. Cellular Automaton (CA) as dynamical systems in which space and time are discrete and rules are local, is proper candidate to simulate and analyze the problem. Using CA presents a better understanding of the problem. Mobile Wireless Sensor Network Mobile Sensor Gathering Cellular Automata Local Algorithm 2016 03 24 93 99 https://jac.ut.ac.ir/article_7947_1aea8cc39be37b7a09b0e9f9f6aa0812.pdf
2016-04-01
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 A Mathematical Optimization Model for Solving Minimum Ordering Problem with Constraint Analysis and some Generalizations Samira Rezaei Amin Ghodousian In this paper, a mathematical method is proposed to formulate a generalized ordering problem. This model is formed as a linear optimization model in which some variables are binary. The constraints of the problem have been analyzed with the emphasis on the assessment of their importance in the formulation. On the one hand, these constraints enforce conditions on an arbitrary subgraph and then give sufficient conditions for feasibility, on the other hand, they provide a natural way to generalize the applied aspects of the model without increasing the number of the binary variables. linear programming integer programming minimum ordering 2016 04 01 101 117 https://jac.ut.ac.ir/article_7949_b3e9bb57657183c34d60a4df9921c654.pdf
2016-05-01
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 The edge tenacity of a split graph Bahareh Bafandeh Mayvan The edge tenacity Te(G) of a graph G is de ned as:Te(G) = min {[|X|+τ(G-X)]/[ω(G-X)-1]|X ⊆ E(G) and ω(G-X) > 1} where the minimum is taken over every edge-cutset X that separates G into ω(G - X) components, and by τ(G - X) we denote the order of a largest component of G. The objective of this paper is to determine this quantity for split graphs. Let G = (Z; I; E) be a noncomplete connected split graph with minimum vertex degree δ(G) we prove that if δ(G)≥|E(G)|/[|V(G)|-1]  then its edge-tenacity is |E(G)|/[|V(G)|-1] . Vertex degree split graphs edge tenacity 2016 05 01 119 125 https://jac.ut.ac.ir/article_7950_79987a74d7a89e4dc593ea40d6df17ea.pdf
2016-05-21
Journal of Algorithms and Computation J. Algorithm Comput. 2476-2776 2476-2776 2016 47 1 Minimum Tenacity of Toroidal graphs Hamid Doost Hosseini The tenacity of a graph G, T(G), is de ned by T(G) = min{[|S|+τ(G-S)]/[ω(G-S)]}, where the minimum is taken over all vertex cutsets S of G. We de ne τ(G - S) to be the number of the vertices in the largest component of the graph G - S, and ω(G - S) be the number of components of G - S.In this paper a lower bound for the tenacity T(G) of a graph with genus γ(G) is obtained using the graph's connectivity κ(G). Then we show that such a bound for almost all toroidal graphs is best possible. genus graph's connectivity toroidal graphs 2016 05 21 127 135 https://jac.ut.ac.ir/article_7951_c8ea937acc51627d689d94f03167568d.pdf