Calculate the reflection and transmission coefficients using the S-Matrix approach in Matlab.
標(biāo)簽： coefficients transmission reflection Calculate
上傳時(shí)間： 2014-12-03
上傳用戶：whenfly
用S-Matrix算法計(jì)算光柵衍射問(wèn)題。
標(biāo)簽： S-Matrix 算法 光柵 計(jì)算
上傳時(shí)間： 2013-11-27
上傳用戶：asdkin
Jama includes matrix operator class... and linear Algebra... it s cool
標(biāo)簽： includes operator Algebra matrix
上傳時(shí)間： 2015-05-21
上傳用戶：zhangzhenyu
This demonstration shows that reordering the rows and columns of a sparse matrix S can affect the time and storage required for a matrix operation such as factoring S into its Cholesky decomposition
標(biāo)簽： demonstration reordering the columns
上傳時(shí)間： 2016-01-14
上傳用戶：奇奇奔奔
2X2 matrix s SVD used Cordic
標(biāo)簽： matrix Cordic used 2X2
上傳時(shí)間： 2014-12-08
上傳用戶：ardager
for entropy H = entropy(S) this command will evaluate the entropy of S, S should be row matrix H = entropy([X Y Z]) this command will find the joint entropy for the 3 variables H = entropy([X,Y],[Z,W]) this will find H(X,Y/Z,W).. you can use it for any combination of joint entropies Please validate this function before using it
標(biāo)簽： entropy evaluate command matrix
上傳時(shí)間： 2017-09-10
上傳用戶：caozhizhi
Computes the hafnian of a nonnegative integer matrix. Notes: Copy hafnian.c to main.c, in the same directory as Rothberg s code (see above). You can download the .tar directory with the code weighted-match.tar here. Then "make" the codes (this codes are in C, not C++). The program is then run by the command "wmatch".
標(biāo)簽： hafnian nonnegative the Computes
上傳時(shí)間： 2013-12-23
上傳用戶：lmeeworm
The MatlabBGL library fills a hole in Matlab s suite of algorithms. Namely, it provides a rich set of algorithms to work with graphs, as in graph theory graphs. The MatlabBGL package uses Matlab s native sparse matrix type as a graph and provides algorithms that work
標(biāo)簽： algorithms MatlabBGL provides library
上傳時(shí)間： 2014-11-17
上傳用戶：zyt
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
標(biāo)簽： illustrates elimination Gaussian pivoting
上傳時(shí)間： 2016-11-09
上傳用戶：wang5829
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
標(biāo)簽： illustrates elimination Gaussian pivoting
上傳時(shí)間： 2014-01-21
上傳用戶：lxm
蟲(chóng)蟲(chóng)下載站版權(quán)所有 京ICP備2021023401號(hào)-1
