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- particularly suitable as a platform for implementing combinations of deduction, execution, and property checking...
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- linear systems. The presented method is a combination of the CGS algorithm (a “squared” conjugate ... conclusion of the author is that this combination is a competitive solver for nonsymmetric linear...
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- based on sparse matrices; and one which combines both symbolic and sparse matrix methods. PRISM...
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- equations. The mathematical basis of the system combines tools of Chebyshev expansions, fast Fourier transform...
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- sparse LU factorization is presented that combines a column pre-ordering strategy with a right...
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- Scatter search constructs new trial solutions by combining so-called reference solutions and employing strategic ... implementation goal is to create a combination of the five elements in the scatter search...
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- grammar of graphics in R. It combines the advantages of both base and lattice graphics...
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- DYNA A combined Implicit/Explicit solver. One scalable code for solving highly nonlinear transient problems enabling...
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- triggering the extension of word hits, combined with a new heuristic for generating gapped alignments ... addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into...
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- Riemann-Liouville derivative and Caputo derivative. Then combining the predictor-corrector approach with the method...
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- applied to other research areas. NuSMV2, combines BDD-based model checking component that exploits...
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- SMPs and Cluster of SMPs. Automatic combination of iterative and direct solver algorithms to accelerate...
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- many other applications. Our approach, called PhaseLift, combines multiple structured illuminations together with ideas from...
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- which the popular method of minimizing weighted combinations of objective functions lacks. Further, this method...