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Alireza Bagheri

Publications and source records attributed to Alireza Bagheri.

30 records · Page 2Linked to original sources

A Linear-time Algorithm for Orthogonal Watchman Route Problem with Minimum Bends

Given an orthogonal polygon $ P $ with $ n $ vertices, the goal of the watchman route problem is finding a path $ S $ of the minimum length in $ P $ such that every point of the polygon $ P $ is visible from at least one of the point of $ S $. In the other words, in the watchman route problem we must compute a shortest watchman route inside a simple polygon of $ n $ vertices such that all the points interior to the polygon and on its boundary are visible to at least one point on the route. If route and polygon be orthogonal, it is called orthogonal watchman route problem. One of the targets of this problem is finding the orthogonal path with the minimum number of bends as possible. We present a linear-time algorithm for the orthogonal watchman route problem, in which the given polygon is monotone. Our algorithm can be used also for the problem on simple orthogonal polygons $ P $ for which the dual graph induced by the vertical decomposition of $ P $ is a path, which is called path polygon.

cs.CG↗

Joint Uplink/Downlink Optimization for Backhaul-Limited Mobile Cloud Computing with User Scheduling

Mobile cloud computing enables the offloading of computationally heavy applications, such as for gaming, object recognition or video processing, from mobile users (MUs) to cloudlet or cloud servers, which are connected to wireless access points, either directly or through finite-capacity backhaul links. In this paper, the design of a mobile cloud computing system is investigated by proposing the joint optimization of computing and communication resources with the aim of minimizing the energy required for offloading across all MUs under latency constraints at the application layer. The proposed design accounts for multiantenna uplink and downlink interfering transmissions, with or without cooperation on the downlink, along with the allocation of backhaul and computational resources and user selection. The resulting design optimization problems are nonconvex, and stationary solutions are computed by means of successive convex approximation (SCA) techniques. Numerical results illustrate the advantages in terms of energy-latency trade-off of the joint optimization of computing and communication resources, as well as the impact of system parameters, such as backhaul capacity, and of the network architecture.

cs.NI↗

Hamiltonian Paths in C-shaped Grid Graphs

We study the Hamiltonian path problem in C-shaped grid graphs, and present the necessary and sufficient conditions for the existence of a Hamiltonian path between two given vertices in these graphs. We also give a linear-time algorithm for finding a Hamiltonian path between two given vertices of a C-shaped grid graph, if it exists.

cs.CC↗

A Perfect Terahertz Metamaterial Absorber

In this paper the design for an absorbing metamaterial with near unity absorbance in terahertz region is presented. The absorber's unit cell structure consists of two metamaterial resonators that couple to electric and magnetic fields separately. The structure allows us to maximize absorption by varying dielectric material and thickness and, hence the effective electrical permittivity and magnetic permeability.

physics.optics↗

An approximation algorithm for the longest cycle problem in solid grid graphs

Although, the Hamiltonicity of solid grid graphs are polynomial-time decidable, the complexity of the longest cycle problem in these graphs is still open. In this paper, by presenting a linear-time constant-factor approximation algorithm, we show that the longest cycle problem in solid grid graphs is in APX. More precisely, our algorithm finds a cycle of length at least $\frac{2n}{3}+1$ in 2-connected $n$-node solid grid graphs. Keywords: Longest cycle, Hamiltonian cycle, Approximation algorithm, Solid grid graph.

cs.DS↗

Unit-length embedding of cycles and paths on grid graphs

Although there are very algorithms for embedding graphs on unbounded grids, only few results on embedding or drawing graphs on restricted grids has been published. In this work, we consider the problem of embedding paths and cycles on grid graphs. We give the necessary and sufficient conditions for the existence of cycles of given length $k$ and paths of given length $k$ between two given vertices in $n$-vertex rectangular grid graphs and introduce two algorithms with running times O$(k)$ and O$(k^2)$ for finding respectively such cycles and paths. Also, we extend our results to $m\times n\times o$ 3D grids. Our method for finding cycle of length $k$ in rectangular grid graphs also introduces a linear-time algorithm for finding cycles of a given length $k$ in hamiltonian solid grid graphs.

cs.DM↗

Embedding a balanced binary tree on a bounded point set

Given an undirected planar graph G with n vertices and a set S of n points inside a simple polygon P, a point-set embedding of G on S is a planar drawing of G such that each vertex is mapped to a distinct point of S and the edges are polygonal chains surrounded by P. A special case of the embedding problem is that in which G is a balanced binary tree. In this paper, we present a new algorithm for embedding an n-vertex balanced binary tree BBT on a set S of n points bounded by a simple m-gon P in O(m^2 + n(log n)^2 + mn) time with at most O(m) bends per edge.

cs.CG↗

Many to Many Matching with Demands and Capacities

Let A and B be two finite sets of points with total cardinality n, the many to many point matching with demands and capacities matches each point ai in A to at least alpha'i and at most alphai points in B, and each point bj in B to at least betaj and at most beta'j points in A for all 1 <= i <= s and 1 <= j <= t. In this paper, we present an upper bound for this problem using our new polynomial time algorithm.

cs.DS↗

Limited-Capacity Many-To-Many Point Matching in One Dimension

Given two point sets S and T, in a many-to-many matching between S and T each point in S is assigned to one or more points in T and vice versa. A generalization of the many-to-many matching problem is the limited capacity many-to-many matching problem, where the number of points that can be matched to each point, that is the capacity of each point, is limited. In this paper, we provide an O(n^2) time algorithm for the one dimensional minimum-cost limited capacity many-to-many matching problem, where |S| + |T| = n. Our algorithm improves the best previous time complexity of O(k(n^2)), that in which k is the largest capacity of the points in the union of S and T. In this problem, both S and T lie on the real line and the cost of matching s in S to t in T is equal to the distance between s and t.

cs.CG↗

An efficient parallel algorithm for the longest path problem in meshes

In this paper, first we give a sequential linear-time algorithm for the longest path problem in meshes. This algorithm can be considered as an improvement of [13]. Then based on this sequential algorithm, we present a constant-time parallel algorithm for the problem which can be run on every parallel machine.

cs.DS↗

Hamiltonian Paths in Two Classes of Grid Graphs

In this paper, we give the necessary and sufficient conditions for the existence of Hamiltonian paths in $L-$alphabet and $C-$alphabet grid graphs. We also present a linear-time algorithm for finding Hamiltonian paths in these graphs.

cs.DS↗

Complexity of Planar Embeddability of Trees inside Simple Polygons

Geometric embedding of graphs in a point set in the plane is a well known problem. In this paper, the complexity of a variant of this problem, where the point set is bounded by a simple polygon, is considered. Given a point set in the plane bounded by a simple polygon and a free tree, we show that deciding whether there is a planar straight-line embedding of the tree on the point set inside the simple polygon is NP-complete. This implies that the straight-line constrained point-set embedding of trees is also NP-complete, which was posed as an open problem in [8].

cs.CG↗