A queueing system with heterogeneous servers and general input is analyzed. In particular, it is shown how to obtain the steady state probabilities for such a system, both at random-times and at the times preceding an...
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A queueing system with heterogeneous servers and general input is analyzed. In particular, it is shown how to obtain the steady state probabilities for such a system, both at random-times and at the times preceding an arrival. If more than one server is idle, an arrival has the choice how to select one of the idle servers. The rules used to do the selection are part of the model description. The probabilities at arrival points are found as follows. First, one determines the probabilities for all states in which there is no queue, and then one calculates the probabilities in which customers are waiting. The probabilities at arrival epochs allow one to find the probability of no wait, the waiting time distribution, and the distribution of the number in the system at random epochs. Heuristic arguments, supported by numerical calculations, show that the importance of selecting a server increases with decreasing traffic intensity, increasing number of servers, and decreasing variation between interarrival times.
Let A be an n-by-n irreducible, entrywise nonnegative matrix. For a given t > 0, we consider the problem of maximizing the Perron root of a nonnegative, diagonal, trace t perturbation of A. Because of the convexity...
Let A be an n-by-n irreducible, entrywise nonnegative matrix. For a given t > 0, we consider the problem of maximizing the Perron root of a nonnegative, diagonal, trace t perturbation of A. Because of the convexity of the Perron root as a function of diagonal entries, the maximum occurs for some tEii, Such an index i, which is called a winner, may depend on t. We show how to determine the (nonempty) set of indices i that are winners for all sufficiently small t and the possibly different (nonempty) set of indices that are winners for all sufficiently large t. We also show how to determine if there are indices that are winners for all t.
作者:
Gotlih, KTroch, IJezernik, K[a1 ]University of Maribor
Faculty of Mechanical Engineering Smetanova 17 SI-62000 Maribor (Slovenia).[a2 ]Technical University Vienna Inst. f. Technical Mathematics Wiedner Haupstrasse 8-10/114 A-1040 Vienna (Austria).[a3 ]University of Maribor Faculty of Electrical Engineering and Computer Science Smetanova 17 SI-62000 Maribor (Slovenia).
A global optimal control algorithm was developed with the aim of finding a control which satisfies some special requirements in the sense of obtaining singular position free movement of the redundant robot mechanism. ...
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A global optimal control algorithm was developed with the aim of finding a control which satisfies some special requirements in the sense of obtaining singular position free movement of the redundant robot mechanism. The solution of the developed global optimal control algorithm is a boundary value problem. The additional constraints in the boundary value problem were constructed with the use of an optimization process. The usefulness of the developed global optimal control algorithm is demonstrated by the example of the 3 DOFs planar redundant robot mechanism of SCARA type.
A generalized "measure of distance" defined by Df(x, y): = f(x) - f(y) - 〈∇f(y), x - y〉, is generated from any member f of the class of Bregman functions. Although it is not, technically speaking, a distan...
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A generalized "measure of distance" defined by Df(x, y): = f(x) - f(y) - 〈∇f(y), x - y〉, is generated from any member f of the class of Bregman functions. Although it is not, technically speaking, a distance function, it has been used in the past to define and study projection operators. In this paper we give new definitions of paracontractions, convex combinations, and firmly nonexpansive operators, based on Df(x, y), and study sequential and simultaneous iterative algorithms employing them for the solution of the problem of finding a common asymptotic fixed point of a family of operators. Applications to the convex feasibility problem, to optimization and to monotone operator theory are also included.
We present a fairly general method for finding deterministic constructions obeying what we call k-restrictions; this yields structures of size not much larger than the probabilistic bound. The structures constructed b...
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We present a fairly general method for finding deterministic constructions obeying what we call k-restrictions; this yields structures of size not much larger than the probabilistic bound. The structures constructed by our method include (n,k)-universal sets (a collection of binary vectors of length n such that for any subset of size k of the indices, all 2/sup k/ configurations appear) and families of perfect hash functions. The near-optimal constructions of these objects imply the very efficient derandomization of algorithms in learning, of fixed-subgraph finding algorithms, and of near optimal /spl Sigma/II/spl Sigma/ threshold formulae. In addition, they derandomize the reduction showing the hardness of approximation of set cover. They also yield deterministic constructions for a local-coloring protocol, and for exhaustive testing of circuits.
We present randomized hot-potato routing algorithms on d-dimensional meshes and on the n-dimensional hypercube. The algorithms are designed for routing many packets to a single destination, or a relatively small numbe...
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We present randomized hot-potato routing algorithms on d-dimensional meshes and on the n-dimensional hypercube. The algorithms are designed for routing many packets to a single destination, or a relatively small number of destinations. The important feature, which was not obtained previously, is that the algorithms utilize the higher in-degree of the nodes and are asymptotically optimal.< >
Infinite, recursive versions of NP optimization problems are defined. For example, MAX CLIQUE becomes the question of whether a recursive graph contains an infinite clique. The work was motivated by trying to understa...
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Infinite, recursive versions of NP optimization problems are defined. For example, MAX CLIQUE becomes the question of whether a recursive graph contains an infinite clique. The work was motivated by trying to understand what makes some NP problems highly undecidable in the infinite case, while others remain on low levels of the arithmetical hierarchy. Two results are proved; one enables using knowledge about the infinite case to yield implications to the finite case, and the other enables implications in the other direction. Taken together, the two results provide a method for proving (finitary) problems to be outside the syntactic class MAX NP, hence outside MAX SNP too. The technique is illustrated with many examples.< >
We describe efficient PRAM algorithms for constructing unbalanced quadtrees, balanced quadtrees, and quadtree-based finite element meshes. Our algorithms take time O(log n) for point set input and O(log n log k) time ...
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In this paper, we introduce a formal framework for investigating the relationship of inductive inference and the task of classification. We give the first results on the relationship between functions that can be iden...
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For pt.I see Proc. 3rd Ann. ACM Symp. Parallel Algms. Architecture, p. 180-91 (1991). The authors show that over any field, the solution set to a system of n linear equations in n unknowns can be computed in parallel ...
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