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numerical algorithm

A new numerical algorithm for two-phase flows drift-flux model with staggered grid in porous media

A new numerical algorithm for two-phase flows drift-flux model with staggered grid in porous media

... NEW NUMERICAL ALGORITHM FOR TWO-PHASE FLOWS DRIFT-FLUX MODEL WITH STAGGERED GRID IN POROUS MEDIA Anouar MEKKAS 1 , Anne CHARMEAU 2 and Sami KOURAICHI 3 ...volume numerical method based on an ...

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Shifted-Chebyshev-polynomial-based numerical algorithm for fractional order polymer visco-elastic rotating beam

Shifted-Chebyshev-polynomial-based numerical algorithm for fractional order polymer visco-elastic rotating beam

... effective numerical algorithm is proposed for the first time to solve the fractional visco-elastic rotating beam in the time ...stress numerical solution of the governing equation directly in the ...

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A certified numerical algorithm for the topology of resultant and discriminant curves

A certified numerical algorithm for the topology of resultant and discriminant curves

... and we also denote it more classically as Res z (P, Q). Finally, V( f 1 , . . . , f n ) denotes the solutions of the system f 1 = · · · = f n = 0. Previous and related work.. There are many works addressing the topology ...

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A circuit for diffusive breast imaging and a numerical algorithm for its inverse problem

A circuit for diffusive breast imaging and a numerical algorithm for its inverse problem

... to the integral product in Equation 2.10 later in the text as the source of a Jacobian of the output potentials with respect to the change in vertical conductance[r] ...

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A circuit model for diffusive breast imaging and a numerical algorithm for its inverse problem

A circuit model for diffusive breast imaging and a numerical algorithm for its inverse problem

... The forward problem is known to be very insensitive since a large perturbation in absorption will result in a very small change in measured output potential, so that a[r] ...

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An Efficient Numerical Inverse Scattering Algorithm for Generalized Zakharov-Shabat Equations with Two Potential Functions

An Efficient Numerical Inverse Scattering Algorithm for Generalized Zakharov-Shabat Equations with Two Potential Functions

... efficient numerical algorithm is presented for solving the inverse scattering problem related to generalized Zakharov-Shabat equa- tions with two potential ...the numerical efficiency of an ...

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The HyperCASL algorithm: A new approach to the numerical simulation of geophysical flows

The HyperCASL algorithm: A new approach to the numerical simulation of geophysical flows

... on numerical properties In computations of practical interest, only modest resolutions are used be- cause a large portion of the computational resources must be dedicated to other physical processes, ...efficient ...

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SUNNY with Algorithm Configuration

SUNNY with Algorithm Configuration

... SUNNY algorithm is a portfolio technique originally tailored for Constraint Satisfac- tion Problems ...on algorithm selection with less satisfactory ...for algorithm selection, that was submitted to ...

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A polynomial reduction algorithm

A polynomial reduction algorithm

... d’un polynôme aussi canonique que possible. Nous utilisons l’algorithme LLL pour trouver une base de petits vecteurs pour le réseau de Rn image des entiers de K par le plongement canonique. Abstract 2014 The ...

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Numerical stability of Euclidean algorithm  over ultrametric fields

Numerical stability of Euclidean algorithm over ultrametric fields

... 3. Unstability of Euclidean-like algorithms In this section, we provide strong evidences for explaining the average loss of precision observed while executing Algorithm 2.1. Concretely, in §3.1 we establish 3 a ...

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Bayesian inference algorithm on Raw

Bayesian inference algorithm on Raw

... For the medium grain implementation, the problem size is split among the tiles (not replicated), so the total load-up time should remain about the same as the number of [r] ...

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An Adaptive Parareal Algorithm

An Adaptive Parareal Algorithm

... parareal algorithm in an infinite dimensional function space where the fine propagations are replaced by the exact ones (section ...adaptive algorithm converges at the same rate as the ideal one and with a ...

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A New Rational Way Combining Analytical and Numerical Models with a Deterministic Global Optimization Algorithm for the Design of Electrical Rotating Machines

A New Rational Way Combining Analytical and Numerical Models with a Deterministic Global Optimization Algorithm for the Design of Electrical Rotating Machines

... new algorithm IBBA+NUMT satisfy now the constraint about the torque (which is fixed by the schedule of conditions) by a numerical ...the numerical constraint ...

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Formally-Proven Kosaraju's algorithm

Formally-Proven Kosaraju's algorithm

... Note that components are never empty since we have x −→ ∗ r x for all x. 4 Conclusion Formalising Kosaraju’s algorithm has been an interesting exercise. We have chosen a direct formalisation with almost no ...

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Katz's middle convolution algorithm

Katz's middle convolution algorithm

... Problem 7.5. Generalize Roberts’ observations on the geography of the Katz algorithm [123] to the nonrigid case. It would be good to compare explicitly what is happening in our presentation, which basically ...

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States based evolutionary algorithm

States based evolutionary algorithm

... ator of state mutation is applied which possibly change only the state of solutions. If a solution changes from search space k to search space l, the solution is moved with the state change operator stateM utation kl . ...

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Numerical andexperimentalanalysisofresidualstressandplasticstrain distributionsinmachinedstainlesssteel

Numerical andexperimentalanalysisofresidualstressandplasticstrain distributionsinmachinedstainlesssteel

...  The simulated residual stresses were never been confirmed by an assessment of plastic deformation fields which is the bases of their generation. For these reasons, we propose, in this study, a numerical approach ...

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Multi-criteria Search Algorithm: An Efficient Approximate K-NN Algorithm for Image Retrieval

Multi-criteria Search Algorithm: An Efficient Approximate K-NN Algorithm for Image Retrieval

... The general idea of MSA is that the search process for each di- mension successively discovers candidates for the global k-NN re- sult. An approximation parameter  controls the moment when the MSA algorithm ...

6

Sliding Window Orthonormal PAST Algorithm

Sliding Window Orthonormal PAST Algorithm

... In other respects, the various subspace trackers do not have the same behavior regarding the orthonormality of the estimated signal subspace basis. The need for orthonormality only depends on the post-processing method ...

5

The Tamed Unadjusted Langevin Algorithm

The Tamed Unadjusted Langevin Algorithm

... Langevin Algorithm (ULA) first introduced in the physics literature by [ Par81 ] and popularised in the computational statistics community by [ Gre83 ] and [ GM94 ] is a technique to sample complex and ...

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