Scilab

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  1. Series trunk
  2. Template “umfpack”
  3. Japanese (ja)
70 → 79 of 132 results First • • • Last
70.
computing time =
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計算時間 =
Translated and reviewed by Rui Hirokawa
71.
A2 (
A2 (
Translated and reviewed by Rui Hirokawa
72.
A3 (
A3 (
Translated and reviewed by Rui Hirokawa
73.
A4 (
A4 (
Translated and reviewed by Rui Hirokawa
74.
Now we will see how to use the lu factors:
ここで,LU分解を使用する方法を示します:
Translated and reviewed by Rui Hirokawa
75.
1/ lu factors of a sparse matrix A are obtained through:
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1/ 疎行列AのLU分解は次のように得られます:
Translated and reviewed by Rui Hirokawa
76.
lup = umf_lufact(A)
lup is a pointer to the lu factors (the memory is outside scilab space)
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lup = umf_lufact(A)
lup は LU分解へのポインタです (そのメモリはScilab空間の外です)
Translated and reviewed by Rui Hirokawa
77.
2/ for solving a linear system A*x = b, use:
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2/ 線形システム A*x = b を解くには, 次のようにします:
Translated and reviewed by Rui Hirokawa
78.
x = umf_lusolve(lup,b)
or x = umf_lusolve(lup,b,Ax=b,A) to add an iterative refinement step
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x = umf_lusolve(lup,b)
または x = umf_lusolve(lup,b,Ax=b,A) (反復改良ステップを追加する場合)
Translated and reviewed by Rui Hirokawa
79.
3/ to solve A'*x=b you may use:
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3/ A'*x=b を解く場合, 次のように行います:
Translated and reviewed by Rui Hirokawa
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Contributors to this translation: Hiroshi Saito, Rui Hirokawa, Scilab.team.