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71.
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A2 (
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A2 (
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Translated and reviewed by
Rui Hirokawa
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72.
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A3 (
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A3 (
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Translated and reviewed by
Rui Hirokawa
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73.
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A4 (
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A4 (
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Translated and reviewed by
Rui Hirokawa
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74.
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Now we will see how to use the lu factors:
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ここで,LU分解を使用する方法を示します:
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Translated and reviewed by
Rui Hirokawa
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75.
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1/ lu factors of a sparse matrix A are obtained through:
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represents a space character.
Enter a space in the equivalent position in the translation.
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1/ 疎行列AのLU分解は次のように得られます:
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Translated and reviewed by
Rui Hirokawa
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76.
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lup = umf_lufact(A) 
lup is a pointer to the lu factors (the memory is outside scilab space)
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represents a line break.
Start a new line in the equivalent position in the translation.
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represents a space character.
Enter a space in the equivalent position in the translation.
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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)
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Translated and reviewed by
Rui Hirokawa
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77.
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2/ for solving a linear system A*x = b, use:
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represents a space character.
Enter a space in the equivalent position in the translation.
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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:
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Translated and reviewed by
Rui Hirokawa
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78.
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x = umf_lusolve(lup,b)
or x = umf_lusolve(lup,b,Ax=b,A) to add an iterative refinement step
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represents a line break.
Start a new line in the equivalent position in the translation.
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represents a space character.
Enter a space in the equivalent position in the translation.
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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)
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Translated and reviewed by
Rui Hirokawa
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79.
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3/ to solve A'*x=b you may use:
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represents a space character.
Enter a space in the equivalent position in the translation.
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3/ A'*x=b を解く場合, 次のように行います:
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Translated and reviewed by
Rui Hirokawa
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80.
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x = umf_lusolve(lup,b,Ax''=b)
or x = umf_lusolve(lup,b,Ax''=b,A) to add an iterative refinement step
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represents a line break.
Start a new line in the equivalent position in the translation.
|
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|
represents a space character.
Enter a space in the equivalent position in the translation.
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|
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x = umf_lusolve(lup,b,Ax''=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)
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Translated and reviewed by
Rui Hirokawa
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