Abstract:We present a new relaxation approximation to scalar conservation laws in several space variables by means of semilinear hyperbolic systems of equations with a finite number of velocities. Under a suitable multidimensional generalization of the Whitham relaxation subcharacteristic condition, we show the convergence of the approximated solutions to the unique entropy solution of the equilibrium Cauchy problem.
Academic Press
“…In practice, the larger is the λ i the more stable is the resulting scheme, but the more diffusive it is. This can be verified by reproducing the computations of [14,1]. The present correction uses similar ideas as the ones proposed in [6,2].…”
Section: A Correction To Accurately Model Transverse Diffusionsupporting
confidence: 66%
“…The computational time is although higher when using the new relaxation parameters (15) than when using the one in (11). This is actually due to the method used to compute Ψ n l,m from (14) or (16). The conditioning of problem (14) is simply better than the one of (16) which explains the difference of computational times.…”
Section: Results With the Modified Schemementioning
confidence: 99%
“…In order to handle the non-linearity in (8), the relaxation approach proposed in [16] and based on the previous work of [14,1] is used.…”
Section: Numerical Approachmentioning
confidence: 99%
“…in the scheme (14). The numerical fluxes are now defined locally as a function of the unknowns and the fluxes which allows to better capture the diffusion effects.…”
Typical external radiotherapy treatments consist in emitting beams of energetic photons targeting the tumor cells. Those photons are transported through the medium and interact with it. Such interactions affect the motion of the photons but they are typically weakly deflected which is not well modeled by standard numerical methods.The present work deals with the transport of photons in water. The motion of those particles is modeled by an entropy-based moment model, i.e. the M 1 model. The main difficulty when constructing numerical approaches for photon beam modelling emerges from the significant difference of magnitude between the diffusion effects in the forward and transverse directions. A numerical method for the M 1 equations is proposed with a special focus on the numerical diffusion effects.
“…In practice, the larger is the λ i the more stable is the resulting scheme, but the more diffusive it is. This can be verified by reproducing the computations of [14,1]. The present correction uses similar ideas as the ones proposed in [6,2].…”
Section: A Correction To Accurately Model Transverse Diffusionsupporting
confidence: 66%
“…The computational time is although higher when using the new relaxation parameters (15) than when using the one in (11). This is actually due to the method used to compute Ψ n l,m from (14) or (16). The conditioning of problem (14) is simply better than the one of (16) which explains the difference of computational times.…”
Section: Results With the Modified Schemementioning
confidence: 99%
“…In order to handle the non-linearity in (8), the relaxation approach proposed in [16] and based on the previous work of [14,1] is used.…”
Section: Numerical Approachmentioning
confidence: 99%
“…in the scheme (14). The numerical fluxes are now defined locally as a function of the unknowns and the fluxes which allows to better capture the diffusion effects.…”
Typical external radiotherapy treatments consist in emitting beams of energetic photons targeting the tumor cells. Those photons are transported through the medium and interact with it. Such interactions affect the motion of the photons but they are typically weakly deflected which is not well modeled by standard numerical methods.The present work deals with the transport of photons in water. The motion of those particles is modeled by an entropy-based moment model, i.e. the M 1 model. The main difficulty when constructing numerical approaches for photon beam modelling emerges from the significant difference of magnitude between the diffusion effects in the forward and transverse directions. A numerical method for the M 1 equations is proposed with a special focus on the numerical diffusion effects.
“…In order to prevent an initial layer from appearing [42] in the α−splitting, we need to prescribe well-prepared initial conditions taking into account both splittings as:…”
Abstract. We investigate different models that are intended to describe the small mean free path regime of a kinetic equation, a particular attention being paid to the moment closure by entropy minimization. We introduce a specific asymptotic-induced numerical strategy which is able to treat the stiff terms of the asymptotic diffusive regime. We evaluate on numerics the performances of the method and the abilities of the reduced models to capture the main features of the full kinetic equation.
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