We study an infinite-dimensional operator equation XL - BX = C in a separable Hilbert space. The equation arises in the stabilization study of general linear parabolic systems, where the operators L, B, and C are coef...
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We study an infinite-dimensional operator equation XL - BX = C in a separable Hilbert space. The equation arises in the stabilization study of general linear parabolic systems, where the operators L, B, and C are coefficient operators describing a Feedback control system. The solution to the stabilization naturally leads to an approximation problem of the operator equation. In this paper we propose a concrete algorithm for the approximation with the prescribed convergence rate when the closed operator L is self-adjoint or more generally a spectral operator with compact resolvent.
To eliminate the routing load unbalance among sensor nodes, one approach is to deploy a small number of powerful relay nodes acting as routing nodes in wireless sensor networks, the major optimization objective of whi...
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To eliminate the routing load unbalance among sensor nodes, one approach is to deploy a small number of powerful relay nodes acting as routing nodes in wireless sensor networks, the major optimization objective of which is to minimize the number of relay nodes required. In this paper, we prove that the relay node placement problem in a bounded plane is a P problem, but its computational complexity in general case is quite great. From the geometric cover feature of the relay node placement problem, an O(n2 log n) time greedy approximation algorithm is proposed, where n is the number of sensor nodes. Particularly, at each stage of this algorithm's iterative process, we first select a critical node from uncovered sensor nodes, and then determine the location of relay node based on the principle of preferring to cover the sensor node closer to the critical node, so as to prevent the emergence of isolated node. Experiment results indicate that our proposed algorithm can generate a near optimum feasible relay node deployment in a very short time, and it outperforms existing algorithms in terms of both the size of relay node deployment and the execution time.
In this work we design an approximation algorithm using neighbors, history and errors (NHE algorithm) to analyze and approximate the behavior of sensors readings after it fails. NHE algorithm computes and associates a...
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ISBN:
(纸本)9781424429165
In this work we design an approximation algorithm using neighbors, history and errors (NHE algorithm) to analyze and approximate the behavior of sensors readings after it fails. NHE algorithm computes and associates a specific equation to each sensor that has factors computed using neighbors, history data and the approximation error as a feedback factor. In some cases, it is difficult to reach each sensor to read its value either due to a connection problem or the sensor itself is down and not reachable. In those cases, NHE algorithm uses the evaluated equations to approximate this down sensor reading. The results of the experiments using this algorithm prove that it is powerful but with specific constraints.
In this paper, we investigate the min-max correlation clustering problem with outliers, which is a combination of the min-max correlation clustering problem with the robust clustering. We first prove that the problem ...
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ISBN:
(纸本)9783030926816;9783030926809
In this paper, we investigate the min-max correlation clustering problem with outliers, which is a combination of the min-max correlation clustering problem with the robust clustering. We first prove that the problem is NP-hard to obtain any finite approximation algorithm. Then we design an approximation algorithm based on LP-rounding technique and receive a bi-criteria guarantee.
Base station location has significant impact on network lifetime performance for a sensor network. For a multi-hop sensor network, this problem is particular challenging as we need to jointly consider base station pla...
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ISBN:
(纸本)9781424412679
Base station location has significant impact on network lifetime performance for a sensor network. For a multi-hop sensor network, this problem is particular challenging as we need to jointly consider base station placement and data routing strategy to maximize network lifetime performance. This paper presents an approximation algorithm that can guarantee (1 - epsilon) optimal network lifetime performance for base station placement problem with any desired error bound epsilon > 0. The proposed (1 - epsilon) optimal approximation algorithm is based on several novel techniques that enable to reduce an infinite search space to a finite-element search space for base station location. The first technique used in this reduction is to discretize cost parameters (with performance guarantee) associated with energy consumption. Subsequently, the continuous search space can be broken up into a finite number of subareas. The second technique is to exploit the cost property of each subarea and represent it by a novel notion called "fictitious cost point," each with guaranteed cost bounds. This approximation algorithm offers a simpler and in most cases practically faster algorithm than a state-of-the-art algorithm and represents the best known result to this important problem.
This paper presents an efficient algorithm with performance guarantee (approximation algorithm) to solve task scheduling problem on hybrid platform. The underlying platform architecture in this work is composed by two...
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ISBN:
(纸本)9781538655559
This paper presents an efficient algorithm with performance guarantee (approximation algorithm) to solve task scheduling problem on hybrid platform. The underlying platform architecture in this work is composed by two types of resources CPU and GPU, often called hybrid parallel multi-core platforms. We consider here for each type of resource identical nodes with communications delays. We focus in finding a generic approach to schedule applications presented by DAG (Directed Acyclic Graph) that minimizes makespan by considering communication delay between processors and tasks. A 6-approximation scheduling algorithm is proposed and evaluated in comparison to exact solutions and to another method. We demonstrate that the proposed algorithm achieves a close-to-optimal performance. Finally, our algorithm has been experimented on a large number of instances. These tests assess the good practical behavior of the algorithms with respect to the state-of-the-art solutions whenever these exist.
This paper presents an efficient approximation algorithm to solve the task scheduling problem on heterogeneous platform for the particular case of the linear chain of tasks. The objective is to minimize both the total...
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ISBN:
(数字)9783319751788
ISBN:
(纸本)9783319751788;9783319751771
This paper presents an efficient approximation algorithm to solve the task scheduling problem on heterogeneous platform for the particular case of the linear chain of tasks. The objective is to minimize both the total execution time (makespan) and the total energy consumed by the system. For this purpose, we introduce a constraint on the energy consumption during execution. Our goal is to provides an algorithm with a performance guarantee. Two algorithms have been proposed;the first provides an optimal solution for preemptive scheduling. This solution is then used in the second algorithm to provide an approximate solution for non-preemptive scheduling. Numerical evaluations demonstrate that the proposed algorithm achieves a close-to-optimal performance compared to exact solution obtained by CPLEX for small instances. For large instances, CPLEX is struggling to provide a feasible solution, whereas our approach takes less than a second to produce a solution for an instance of 10000 tasks.
In the edge-cloud environment, offloading technique decides the task to be executed either at the cloud or at the edge. Offloading can improve the quality of service and the efficiency of the system. In most previous ...
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ISBN:
(纸本)9783030590161;9783030590154
In the edge-cloud environment, offloading technique decides the task to be executed either at the cloud or at the edge. Offloading can improve the quality of service and the efficiency of the system. In most previous works on the offloading problem, the communication costs between tasks on both cloud side or the edge side are often ignored. We consider a general offloading model where the communication costs between any two tasks is non-zero and asymmetric. Moreover, due to the resource limitation on the edge side, we assume that the number of tasks executed on the edge side is bounded by a fixed constant k. This generalized offloading problem is NP-hard in minimizing the total cost with cardinality constraint. Based on semidefinite program, we give an approximation algorithm with the performance guarantee of 2/pi.
This paper considers the correlation clustering problem with non-uniform hard constrained cluster sizes, which is a generalization of correlation clustering problem. In this problem, we are given a positive integer U-...
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ISBN:
(数字)9783030271954
ISBN:
(纸本)9783030271954;9783030271947
This paper considers the correlation clustering problem with non-uniform hard constrained cluster sizes, which is a generalization of correlation clustering problem. In this problem, we are given a positive integer U-upsilon for each vertex upsilon, and require vertical bar C vertical bar = min(upsilon is an element of C) U-upsilon for any cluster C. We provide a (2, 4)-bicriteria approximation algorithm for this problem. Namely, the solution returned by the algorithm has the cost that is at most 4 times the optimum, and for each cluster C in the solution, we have vertical bar C vertical bar <= 2min(upsilon is an element of C) U-upsilon.
Determination of Ribonucleic Acid structure is challenging, in order to optimize the RNA pseudoknotted structure, the paper investigates the computational problem and complexity of predicting RNA structure. A new comp...
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ISBN:
(纸本)9781479913343
Determination of Ribonucleic Acid structure is challenging, in order to optimize the RNA pseudoknotted structure, the paper investigates the computational problem and complexity of predicting RNA structure. A new computational method and model with minimum free energy are adopted to predict RNA structure. The main contribution of the paper is to achieves an efficient approximation algorithm for finding RNA pseudoknotted structure and nested structures. We have compared with other algorithms in time complexity and space complexity, the approximation algorithm takes O(n(3)) time and O(n(2)) space, where n is the length of the RNA sequences. The experimental tests for a large database of RNA show that the algorithm is more exact and effective than the algorithms, the algorithm can predict arbitrary pseudoknots, and improve the a predicting accuracy.
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