Results 261 to 270 of about 3,694,751 (350)
An Iterative Error Correction Procedure for Single Sheet Testers Using FEM 3D Model. [PDF]
Sensors (Basel)Krobot R, Dadić M.
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Efficient parameter identification using nonsmooth and nonconvex regularization for inverse problem of diffuse optical tomography. [PDF]
Sci RepTang J, Bi B.
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A novel method for computing state transition matrices due to the unscented transform. [PDF]
Celest Mech Dyn AstronMakadia R +3 more
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Nonlinear electronic oscillators as time sensors for high-precision positioning applications. [PDF]
Sci RepMetaxas K +4 more
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Research on multi-objective optimization design for high-precision turning-milling machine tool bed based on taguchi method -FEA. [PDF]
Sci RepWu H +6 more
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Mimetic finite difference method [PDF]
Journal of Computational Physics, 2014 The mimetic finite difference (MFD) method mimics fundamental properties of mathematical and physical systems including conservation laws, symmetry and positivity of solutions, duality and self-adjointness of differential operators, and exact mathematical identities of the vector and tensor calculus.
K Lipnikov, G Manzini, M Shashkov
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2016
The chapter discusses the mathematical description of transport, diffusion, and wave phenomena and their numerical simulation with finite difference methods. The accuracy of the methods is investigated via stability and consistency properties assuming the existence of regular solutions.
J. Loustau
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The chapter discusses the mathematical description of transport, diffusion, and wave phenomena and their numerical simulation with finite difference methods. The accuracy of the methods is investigated via stability and consistency properties assuming the existence of regular solutions.
J. Loustau
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Finite Difference Methods [PDF]
, 1996 As was mentioned in Chap. 1, all conservation equations have similar structure and may be regarded as special cases of a generic transport equation, Eq. (1.26), (1.27) or (1.28). For this reason, we shall treat only a single, generic conservation equation in this and the following chapters.
Milovan Perić, Joel H. Ferziger
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2018
This chapter offers a peek at the vast literature on numerical methods for partial differential equations. The focus is on finite difference methods (FDM): approximating differential operators by functions of difference operators. Padé approximants (Fornberg) give a unifying principle for deriving the various stencils used by numericists.
Thiago Carvalho Peixoto +2 more
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This chapter offers a peek at the vast literature on numerical methods for partial differential equations. The focus is on finite difference methods (FDM): approximating differential operators by functions of difference operators. Padé approximants (Fornberg) give a unifying principle for deriving the various stencils used by numericists.
Thiago Carvalho Peixoto +2 more
+6 more sources