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软件设计/软件工程 GDC Document treating about 3d graphics
GDC Document treating about 3d graphics
其他 TOYFDTD1 is a stripped-down minimalist, 3D FDTD code demonstrating the basic tasks in implementing a
TOYFDTD1 is a stripped-down minimalist, 3D FDTD code demonstrating the basic tasks in implementing a simple 3D FDTD simulation. An idealized rectangular waveguide is modeled by treating the interior of the mesh as free space and enforcing PEC conditions on the faces of the mesh. A simplified plane w ...
matlab例程 This a very simple Yee algorithm 3D FDTD code in C implementing the free space form of Maxwell s equ
This a very simple Yee algorithm 3D FDTD code in C implementing the free space form of Maxwell s equations on a Cartesian grid. There are no internal materials or geometry. The code as delivered simulates an idealized rectangular waveguide by treating the interior of the mesh as free space/air and e ...
数学计算 Using Gaussian elimination to solve linear equations. // In this version, we allow matrix of any si
Using Gaussian elimination to solve linear equations.
// In this version, we allow matrix of any size. This is done by treating
// the name of a 2-dimensional array as pointer to the beginning of the
// array. This makes use of the fact that arrays in C are stored in
// row-major order.
matlab例程 sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G
sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
...
matlab例程 sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G
sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
...
其他书籍 sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G
sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
...