2008
DOI: 10.1007/978-3-540-77362-7_4
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The Art of Analytical Benchmarking

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Cited by 3 publications
(2 citation statements)
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“…(2.22) must be equipped with appropriate boundary conditions and solved numerically to compute L. Various numerical techniques are available to solve the RTE and include the iterative solution of the Ambartsumiam's integral equation (Mishchenko et al 1999), adding-doubling technique (Hansen and Travis 1974), converged discrete ordinates method (Ganapol and Furfaro, 2008), and analytical discrete ordinates method (Siewert 2000). Areal and intimate mixtures of snow, ice, and debris can be modeled using radiative transfer theory (see Chapter 3).…”
Section: Optical Thickness (() Is Related To Thickness (H) Via the Exmentioning
confidence: 99%
“…(2.22) must be equipped with appropriate boundary conditions and solved numerically to compute L. Various numerical techniques are available to solve the RTE and include the iterative solution of the Ambartsumiam's integral equation (Mishchenko et al 1999), adding-doubling technique (Hansen and Travis 1974), converged discrete ordinates method (Ganapol and Furfaro, 2008), and analytical discrete ordinates method (Siewert 2000). Areal and intimate mixtures of snow, ice, and debris can be modeled using radiative transfer theory (see Chapter 3).…”
Section: Optical Thickness (() Is Related To Thickness (H) Via the Exmentioning
confidence: 99%
“…Nowadays, the steady-state linear transport equation can be solved for a variety of particle transport problems including neutron distribution in nuclear reactor geometries (e.g., Sanchez et al, 2010), radiative transfer in rotationally invariant media (e.g., Ganapol and Furfaro, 2008) and nonrotationally invariant media (e.g., Shultis and Myneni, 1988), as well as particle distribution problems typically found in rarefied gas dynamics (e.g., Barrichello et al, 2001). Over the past two decades, several deterministic and statistical techniques for solving the stationary linear Boltzmann equation (LBE) have been developed and extended to complex multidimensional geometries (e.g., Roy, Hébert, and Marleau, 1989;Forster et al, 2004).…”
Section: Introductionmentioning
confidence: 99%