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  • Articles  (28)
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  • F.2.2  (28)
  • 1985-1989  (28)
  • Mathematics  (28)
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  • Articles  (28)
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  • Mathematics  (28)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    BIT 26 (1986), S. 1-6 
    ISSN: 1572-9125
    Keywords: B.3.2 ; C.1.2 ; F.1.2 ; F.2.2 ; F.2.3 ; G.2.1 ; Algorithms ; Adaptive algorithm ; cost-optimal algorithm ; parallel algorithm
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract A parallel algorithm for generating all combinations ofm out ofn items in lexicographic order is presented. The algorithm usesm processors and runs inO(nCm) time. The cost of the algorithm, which is the parallel running time multiplied by the number of processors used, is optimal to within a constant multiplicative factor in view of the Ω(ncm*m) lower bound on the number of operations required to solve this problem using a sequential computer.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    BIT 26 (1986), S. 195-198 
    ISSN: 1572-9125
    Keywords: F.2.2 ; G.2.2 ; H.3.3 ; Parallel algorithm ; depth first search ; graph ; acyclic digraph
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The subject of this note is the parallel algorithm for depth first searching of a directed acyclic graph by Ghosh and Bhattacharjee. It is pointed out that their algorithm does not always work. A counter example is given. This paper also states the necessary and sufficient condition for the algorithm to fail, or to work correctly.
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    BIT 26 (1986), S. 430-441 
    ISSN: 1572-9125
    Keywords: I.3.5 ; I.3.7 ; F.2.2 ; hidden surface removal ; polyhedra ; object space ; straight-edge planar graph ; point-location
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract An algorithm is presented for reconstructing visible regions from visible edge segments in object space. This has applications in hidden surface algorithms operating on polyhedral scenes and in cartography. A special case of reconstruction can be formulated as a graph problem: “Determine the faces of a straight-edge planar graph given in terms of its edges.” This is accomplished inO(n logn) time using linear space for a graph withn edges, and is worst-case optimal. The graph may have separate components but the components must not contain each other. The general problem of reconstruction is then solved by applying our algorithm to each component in the containment relation.
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    BIT 26 (1986), S. 442-450 
    ISSN: 1572-9125
    Keywords: E.1 ; F.2.2 ; priority queues ; heaps ; split trees ; ordered priority queues ; ordered heap ; range priority queries
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract A new data structure called ordered priority queue is introduced in this paper. Elements stored in the data structure have a primary order (key) and a secondary order (priority) associated with them. An ordered min-priority queue allows users to find the minimum priority element in any range (according to key order) inO(logn) time. Such a data structure withn elements can be created inO(n logn) time usingO(n) storage. A specific implementation based on median split trees is presented. Sequential access of the elements can be done inO(n log logn) time andO(logn) extra storage.
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    BIT 27 (1987), S. 44-48 
    ISSN: 1572-9125
    Keywords: C.R. ; F.2.2
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract This note generalizes the one-way, stackless quicksort of Huang and Knuth to work for any type of sort key. It thus proves that quicksort can run with minimal space inO(N logN) average time.
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    BIT 27 (1987), S. 2-17 
    ISSN: 1572-9125
    Keywords: E.2 ; F.2.2 ; Sorting ; priority queues ; heaps ; average-case analysis ; heapsort
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract A new algorithm for rearranging a heap is presented and analysed in the average case. The average case upper bound for deleting the maximum element of a random heap is improved, and is shown to be less than [logn]+0.299+M(n) comparisons, *) whereM(n) is between 0 and 1. It is also shown that a heap can be constructed using 1.650n+O(logn) comparisons with this algorithm, the best result for any algorithm which does not use any extra space. The expected time to sortn elements is argued to be less thann logn+0.670n+O(logn), while simulation result points at an average case ofn log n+0.4n which will make it the fastest in-place sorting algorithm. The same technique is used to show that the average number of comparisons when deleting the maximum element of a heap using Williams' algorithm for rearrangement is 2([logn]−1.299+L(n)) whereL(n) also is between 0 and 1, and the average cost for Floyd-Williams Heapsort is at least 2nlogn−3.27n, counting only comparisons. An analysis of the number of interchanges when deleting the maximum element of a random heap, which is the same for both algorithms, is also presented.
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    BIT 27 (1987), S. 141-147 
    ISSN: 1572-9125
    Keywords: C.1.2 ; F.2.2 ; systolic algorithms ; computational geometry
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract In this paper we will present systolic algorithms for static versions of the convex hull problem and the half-plane intersection problem. The systolic algorithms are based on a cyclic shift operation that makes each object meet all the other objects.
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    BIT 27 (1987), S. 163-169 
    ISSN: 1572-9125
    Keywords: E.1 ; F.2.2 ; G.2.1
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract We present a new scheme for representing binary trees. The scheme is based on rotations as a previous scheme of Zerling. In our method the items of a representation have a natural geometric interpretation, and the algorithms related to the method are simple. We give an algorithm for enumerating all the representations for trees onn nodes, and an algorithm for building the tree corresponding to a given representation.
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    BIT 27 (1987), S. 170-180 
    ISSN: 1572-9125
    Keywords: G.2.2 ; F.2.2
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Computing a maximum independent set, weighted or unweighted, isNP-hard for general as well as planar graphs. However, polynomial time algorithms do exist for solving this problem on special classes of graphs. In this paper we present an efficient algorithm for computing a maximum weight independent set in trees. A divide and conquer approach based on centroid decomposition of trees is used to compute a maximum weight independent set withinO(n logn) time, wheren is the number of vertices in the tree. We introduce a notion of analternating tree which is crucial in obtaining a new independent set from the previous one.
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    BIT 27 (1987), S. 324-329 
    ISSN: 1572-9125
    Keywords: E.1 ; F.2.2
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract We introduce the notion ofsearchability as a property of an in place merging algorithm. We show that a pair of sorted arrays can be merged in place in linear time, so that a search can be performed in logarithmic time at any point during the merging process. We apply this method to devise an implicit data structure which can support searches inO(log2 n) time in the worst case, andO(logn) on the average, and insertions inO(logn) time, in the worst case.
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