Results 251 to 260 of about 5,110,730 (289)
Improving Sensitivity Analysis By Synthesizing Randomized Clinical Trials With Limited Overlap. [PDF]
Jiang K, Hu W, Lai X, Yang S, Zhou XH.
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Modular scheduling of tightly coupled production lines. [PDF]
Marcè I Igual J +3 more
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Stability of Minkowski-type inequalities in certain warped product spaces. [PDF]
Sahjwani P.
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Journal of Algorithms, 1997
Summary: We show lower bounds on the worst-case complexity of Shellsort. In particular, we give a fairly simple proof of an \(\Omega (n(\text{lg}^2n/(\text{lg lg } n)^2)\) lower bound for the size of Shellsort sorting networks for arbitrary increment sequences.
C. Greg Plaxton, Torsten Suel
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Summary: We show lower bounds on the worst-case complexity of Shellsort. In particular, we give a fairly simple proof of an \(\Omega (n(\text{lg}^2n/(\text{lg lg } n)^2)\) lower bound for the size of Shellsort sorting networks for arbitrary increment sequences.
C. Greg Plaxton, Torsten Suel
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Algebra Universalis, 2001
The authors study the hierarchy of properties that define lower bounded lattices within the class of all finite lattices. A lattice \(L\) is lower bounded if any homomorphism \(h\) from a finitely generated lattice \(K\) into \(L\) is lower bounded, i.e.\ if \(\{ x\in K\); \(a\leq h(x) \}\) is either empty or has a least element whenever \(a\in h(K)\).
Adaricheva, K. V., Gorbunov, V. A.
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The authors study the hierarchy of properties that define lower bounded lattices within the class of all finite lattices. A lattice \(L\) is lower bounded if any homomorphism \(h\) from a finitely generated lattice \(K\) into \(L\) is lower bounded, i.e.\ if \(\{ x\in K\); \(a\leq h(x) \}\) is either empty or has a least element whenever \(a\in h(K)\).
Adaricheva, K. V., Gorbunov, V. A.
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Proceedings of the thirteenth annual ACM symposium on Theory of computing - STOC '81, 1981
Increased use of Very Large Scale Integration (VLSI) for the fabrication of digital circuits has led to increased interest in complexity results on the inherent VLSI difficulty of various problems. Lower bounds have been obtained for problems such as integer multiplication [1,2], matrix multiplication [7], sorting [8], and discrete Fourier transform [9]
Richard J. Lipton, Robert Sedgewick
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Increased use of Very Large Scale Integration (VLSI) for the fabrication of digital circuits has led to increased interest in complexity results on the inherent VLSI difficulty of various problems. Lower bounds have been obtained for problems such as integer multiplication [1,2], matrix multiplication [7], sorting [8], and discrete Fourier transform [9]
Richard J. Lipton, Robert Sedgewick
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A Lower Bound for Interpolation
Logic Journal of IGPL, 1997A formula \(J\) is called an interpolant of a valid implication \(A\supset B\) if \(J\) contains only the common variables of \(A\) and \(B\) and both \(A\supset J\) and \(J\supset B\) hold; \(\xi (A\supset B)\) denotes the size of the shortest interpolant of the implication \(A\supset B\).
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Information Processing Letters, 2005
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Applied Mathematics and Computation, 2011
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Lower Bounds for Kernelization
2014Kernelization is the process of transforming the input of a combinatorial decision problem to an equivalent instance, with a guarantee on the size of the resulting instances as a function of a parameter. Recent techniques from the field of fixed parameter complexity and tractability allow to give lower bounds for such kernels.
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