Translations by Shiqi Yu

Shiqi Yu has submitted the following strings to this translation. Contributions are visually coded: currently used translations, unreviewed suggestions, rejected suggestions.

150 of 55 results
1.
%s: Wrong size for input arguments: Same sizes expected.
2008-07-24
%s:输入参数的大小错误:应该为同样大小。
2.
%s: Wrong value for input argument #%d: not a valid reference to Cholesky factors.
2008-07-24
%s:输入参数#%d的值错误:不是一个Cholesky因式分解的参考(reference)。
4.
%s: No more memory.
2008-07-24
%s: 内存不足。
5.
%s: An error occurred: %s
2008-07-24
%s:出现错误:%s
6.
factorization
2008-07-24
因式分解
9.
%s: Wrong value for input argument #%d: not a valid reference to Cholesky factors
2008-07-24
%s:输入参数#%d的值错误:不是一个正确的Cholesky因子参考(reference)
10.
%s: Wrong size for input argument #%d.
2008-07-24
%s:输入参数#%d的大小错误。
13.
%s: not enough memory.
2008-07-24
%s:内存不足。
15.
%s: Wrong value for input argument #%d: Must be a valid reference to (umf) LU factors.
2008-07-24
%s:输入参数#%d的值错误:必须是一个正确的(umf)LU系数的参考(reference)。
17.
%s: An error occurred: %s: %s
2008-07-24
%s:发生了一个错误:%s:%s
18.
symbolic factorization
2008-07-24
对称因式分解
19.
The (square) matrix appears to be singular.
2008-07-24
矩阵(方阵)看上去可能是奇异的。
20.
Warning
2008-07-24
警告
21.
no place to store the LU pointer in ListNumeric.
2008-07-24
在ListNumeric中没有空间来存储LU pointer
22.
%s: An error occurred: %s.
2008-07-24
%s:发生一个错误:%s。
26.
%s: Wrong input argument #%d: '%s' or '%s' expected.
2008-07-24
%s:输入参数#%d错误:应该为'%s'或'%s'。
27.
%s: Wrong size for input argument #%d: %s.
2008-07-24
%s:输入参数#%d的大小错误:%s。
28.
Matrix is not compatible with the given LU factors
2008-07-24
矩阵跟给定的LU系数不兼容。
31.
numeric factorization
2008-07-24
数字因式分解
32.
singular matrix
2008-07-24
奇异矩阵
33.
not enough memory
2008-07-24
内存不足
34.
internal error
2008-07-24
内部错误
35.
invalid matrix
2008-07-24
不正确的矩阵
36.
GENMMD ordering only works on symmetric matrices.
2008-07-24
GENMMD排序只对对称矩阵有效。
38.
%s: No more memory (n=%d, nnz=%d).
2008-07-24
%s:内存不足(n=%d,nnz=%d)。
39.
CC^T Factorization: Matrix is not positive definite.
2008-07-24
CC^T 因式分解:矩阵式非正定的。
40.
nonpositive pivot in column %d
2008-07-24
在列%d中存在非正基准点(pivot)
41.
Scilab UMFPACK module not installed.
2008-07-24
Scilab UMFPACK 模块没有安装。
106.
%s: Wrong number of input argument(s).
2011-09-01
%s:输入参数的数目错误。
107.
%s: Wrong type for input argument #%d: sparse matrix expected.
2011-09-01
%s:输入参数#%d的类型错误:应该为系数矩阵。
108.
%s: Wrong type for input argument #%d: String expected.
2011-09-01
%s:输入参数#%d的类型错误:应该为字符串。
109.
Choose a sparse matrix
2011-09-01
请选择一个系数矩阵
110.
then click on OK
2011-09-01
然后点击OK
111.
%s: Wrong number of input argument(s): At least %d expected.
2011-09-01
%s:输入参数的数目错误:至少%d个。
112.
%s: The file contains a rhs but it will not be read !
2011-09-01
%s:文件包含一个rhs但是它没有被读!
113.
%s: currently don't read unassembled (elemental) sparse matrix.
2011-09-01
%s:目前没有读unassembled(elemental)稀疏矩阵。
114.
%s: No values for this matrix (only non zero pattern) : put some 1.
2011-09-01
%s:此矩阵没有值(只有非零模式):请输入一些1。
115.
approximate (lM,vM) with the iterative power method
2011-09-01
使用iterative power方法逼近(lM,vM)
116.
-----------------------------------------------------
2011-09-01
-----------------------------------------------------
117.
iteration %3d : lM = %e
2011-09-01
迭代 %3d:IM = %e
118.
Warning : for lM convergence at rtol = %e
2011-09-01
警告:对IM在 rtol = %e 处收敛
119.
don't reached after %d iterations (got only %e)
2011-09-01
经过 %d 次迭代后没有达到(只得到 %e)
120.
approximate (lm,vm) with the inverse iterative power method
2011-09-01
使用inverse iterative power方法逼近(lm,vm)
121.
------------------------------------------------------------
2011-09-01
------------------------------------------------------------
122.
iteration %3d : lm = %e
2011-09-01
迭代 %3d:lm = %e
123.
Warning : for lm convergence at rtol = %e
2011-09-01
警告:对lm在 rtol =%e 处收敛
124.
%s: Wrong number of input arguments: %d to %d expected.
2011-09-01
%s:输入参数的数目错误:应该为%d到%d个参数。
125.
%s: Wrong type for input argument #%d: Square sparse matrix expected.
2011-09-01
%s:输入参数#%d的类型错误:应该为稀疏方阵。
126.
%s: Wrong size for input argument #%d: Square sparse matrix expected.
2011-09-01
%s:输入参数#%d的大小错误:应该为稀疏方阵。
127.
%s: The matrix and the LU factors have not the same dimension !
2011-09-01
%s:矩阵和LU系数不具有同样的维数!