3 edition of An efficient algorithm for computing the crossovers in satellite altimetry found in the catalog.
An efficient algorithm for computing the crossovers in satellite altimetry
by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va
Written in English
|Series||NASA contractor report -- NASA CR-182389.|
|Contributions||United States. National Aeronautics and Space Administration.|
|The Physical Object|
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—In many application domains, data are represented using large graphs involving millions of vertices and billions of edges. Graph exploration algorithms, such as breadth-first search (BFS), are largely dominated by memory latency and are challenging to process efficiently. revision world a2 level revision computing algorithm section covering Pseudocode, Queues, Recursion, Binary trees, Linked lists, Sorting, Searching algorithms and Stacks.
Mapping land surface water bodies from satellite images is superior to conventional in situ measurements. With the mission of long-term and high-frequency water quality monitoring, the launch of the Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3A and Sentinel-3B provides the best possible approach for near real-time land surface water body mapping. Since our algorithm takes advantage of both the parallel computing on MapReduce and in-memory computing on One computer, we call our algorithm M-O algorithm for short in the rest of the paper. A. The Design of the Algorithm The natural graphs usually follow a power-law degree dis-tribution . Intuitively, for graphs with such a feature, most.
A Reconﬁgurable Computing Approach for Efﬁcient and Scalable Parallel Graph Exploration Brahim Betkaoui1, Yu Wang 2, David B. Thomas3, Wayne Luk4 1,4 Department of Computing, Imperial College London London, United Kingdom 2 Department of Electronic Engineering Tsinghua National Laboratory for Information Science and Technology. This study addresses the impact of satellite altimetry data processing on sea levelstudies at regional scale, with emphasis on the influence of various geophysical correctionsand satellite orbit on the structure of the derived interannual signal and sea level trend. Thework focuses on the analysis of TOPEX data for a period of over twelve years, for threeregions in the North Atlantic: Tropical Cited by:
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Get this from a library. An efficient algorithm for computing the crossovers in satellite altimetry. [Chang-Kou Tai; United States. National Aeronautics and Space Administration.].
Combinations of Satellite Crossovers to Study Orbit and Residual Errors in Altimetry. Kostelecký, J. and Jandová, M.:'Altimetry with dual-satellite crossovers', Manuscr. Geod. 20, 82 Wagner, C.A. Combinations of Satellite Crossovers to Study Orbit and Residual Errors in Altimetry.
Celestial Mechanics and Dynamical Cited by: 2. This paper introduces a new efficient algorithm for computing Gröbner bases. To avoid as much intermediate computation as possible, the algorithm computes successive truncated Gröbner bases and it replaces the classical polynomial reduction found in the Buchberger algorithm by the simultaneous reduction of several by: This paper introduces a new efﬁcient algorithm for computing Grobn¨ er bases.
To avoid as much as possible intermediate computation, the algorithm computes successive truncated Grobne¨ r bases and it replaces the classical polynomial reduction found in the Buchberger algorithm by the simultaneous reduction of several by: T o cite this article: Y i Y ang & Hui Zou () An Efficient Algorithm for Computing the HHSVM and Its Generalizations, Journal of Computational and Graphical Statistics, DOI: Nineteen years of multi-mission satellite altimetry data from year to have been processed using Radar Altimeter Database System (RADS) and used to estimate the surface geostrophic : Ernst Schrama.
Chen J., Huang Z., Li R., Gao W. () An Efficient Algorithm for Determining the Correspondence Between DFREI and σ DFRE for a Dual-Frequency Multi-constellation Satellite-Based Augmentation System. In: Sun J., Liu J., Yang Y., Fan S., Yu W. (eds) China Satellite Navigation Conference (CSNC) Proceedings: Volume II.
CSNC Author: Jie Chen, Zhigang Huang, Rui Li, Weiguang Gao. So one can even add that P vs NP & the question of efficient computing may be of crucial or fundamental importance to in — addition to CS and mathematics — physics.  P vs NP problem, wikipedia  Millenium prize problems  P/Poly class, wikipedia  Shor's algorithm.
This paper sketches a technique for improving the rate of convergence of a general oscillatory sequence, and then applies this series acceleration algorithm to the polylogarithm and the Hurwitz zeta function. As such, it may be taken as an extension of the techniques given by Borwein's "An efficient algorithm for computing the Riemann zeta function", to more general series.
The algorithm Cited by: SIAM J. MATRIX ANAL. APPL. c Society for Industrial and Applied Mathematics Vol. 36, No. 1, pp. 38–54 AN EFFICIENT ALGORITHM FOR COMPUTING THE GENERALIZED NULL. The book emphasizes designing algorithms within the timeless and abstracted context of a high-level programming language rather than within highly specific computer architectures.
This is an approach that concentrates on the essence of algorithmic theory, determining and taking advantage of the inherently parallel nature of certain types of Cited by: develop an efficient algorithm for finding optimal (s, S) policies.
Since the cost function of an (s, S) policy fails, in general, to be quasiconvex, except under a restrictive assumption on the demand size distribution (see Stidhamand Sahin ), that algorithm has to use a.
An efﬁcient algorithm for computing the Baker–Campbell–Hausdorff series and some of its applications Fernando Casas1,a and Ander Murua2,b 1Departament de Matemàtiques, Universitat Jaume I, E Castellón, Spain 2Konputazio Zientziak eta A.A.
saila, Informatika Fakultatea, EHU/UPV, E Donostia/San Sebastián, Spain. Taken from Introduction to Algorithms by Thomas Cormen: "To keep things simple, we assume, as we have for binary search trees and red-black trees, that any “satellite information” associated with a key is stored in the same node as the practice, one might actually store with each key just a pointer to another disk page containing the satellite information for that key.
Peter Downey, Benton Leong, and Ravi Sethi, Computing sequences with addition chains SIAM J. Comput. 10 (), Christian Elsholtz et al., Upper bound on length of addition chain, Math Overflow, Sep 18 P. Erdős, Remarks on number theory.
III. On addition chains, Acta Arith. 6 Achim Flammenkamp, Shortest addition chains. This paper considers the problem of computing a maximal independent set in a hypergraph. We present an efficient deterministic NC algorithm for finding a maximal independent set in a hypergraph of dimension 3: the algorithm runs in time O(log 4 n) time on n + m processors of an EREW PRAM and is optimal up to a polylogarithmic factor.
Our algorithm adapts the technique of Goldberg and Spencer Cited by: "An Introduction to Quantum Computing Algorithms reflects its author's own experience in learning the mathematics and theoretical physics required for the subject, as he writes in the acknowledgements.
It is generally written in a pleasant and informal style, with much motivation in between the mathematics/5(3). the Hankel transform have been published for both zero-order  and high-order  Hankel transform. Unfortunately, the efficiency of a method for computing Hankel transform is highly dependent on the function to be transformed, and thus it is difficult to choose the optimal algorithm for given : Rajesh K.
Pandey, Om P. Singh, Vineet K. Singh. This work presents performance analysis of a parallel computing algorithm for deriving solar quiet daily (Sq) variations of geomagnetic field as a proxy of Space weather. The parallel computing hardware platform used involved multi-core processing units.
The parallel computing toolbox of MATLAB a were used to develop our. An Efficient Algorithm for Computing the HHSVM and Its Generalizations Yi Yang a & Hui Zou a a University of Minnesota, Minneapolis, MN, Accepted author version posted online: 25 Apr Published online: 30 May To cite this article: Yi Yang & Hui Zou () An Efficient Algorithm for Computing the HHSVMCited by:.
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Use MathJax to format equations.An Introduction to Parallel Computing: Design and Analysis of Algorithms, 2/e. Grama. Pearson What people are saying - Write a review. User Review - Flag as inappropriate. m.j. quinn designing efficient algorithms for parallel computer mcgraw hill. User Review - Flag as inappropriate.
Best book on this topic. everything explained in so 5/5(4).spectral algorithm is a closest (in the 2-norm sense) permutation vector to a second Laplacian eigenvector.
In Section 3 we discuss the spectral algorithm and its numeri-cal implementation. The multilevel algorithm, which uses coarsening of the underlying graph combined with Rayleigh Quotient iteration , to compute the eigenvector is Size: 1MB.