Browsing Japanese translation

9099 of 132 results
90.
1/ the Cholesky factorization of a s.p.d. matrix A is obtained with:
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1/ 正定対称行列Aのコレスキー分解は次のように取得できます:
Translated and reviewed by Rui Hirokawa
91.
Cp is a pointer to the Cholesky fact. (the memory is outside scilab space)
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Cp はコレスキー分解のポインタです. (メモリはScilab空間の外です)
Translated and reviewed by Rui Hirokawa
92.
2/ for solving a linear system A*x = b then use:
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2/ 線形システム A*x = b を特には次のようします:
Translated and reviewed by Rui Hirokawa
93.
x = taucs_chsolve(Cp,b)
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x = taucs_chsolve(Cp,b)
Translated and reviewed by Rui Hirokawa
94.
3/ for the same thing with one refinement step, use:
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3/ 改善ステップを付けて同様のことを行うには, 以下のようにします:
Translated and reviewed by Rui Hirokawa
95.
xr = taucs_chsolve(Cp,b,A)
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xr = taucs_chsolve(Cp,b,A)
Translated and reviewed by Rui Hirokawa
96.
4/ you may also compute the 2-norm condition number with:
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4/ 次のように2次ノルム条件数を計算することも可能です:
Translated and reviewed by Rui Hirokawa
97.
[K2, lm, vm, lM, vM] = cond2sp(A, Cp [, itermax, eps, verb])
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[K2, lm, vm, lM, vM] = cond2sp(A, Cp [, itermax, eps, verb])
Translated and reviewed by Rui Hirokawa
98.
5/ if you don't need the Cholesky factorization anymore, it is recommended to free it with taucs_chdel(Cp)
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5/ コレスキー分解をもう使用しない場合, taucs_chdel(Cp) により解放することを推奨します
Translated and reviewed by Rui Hirokawa
99.
if you have lost your pointer you may use taucs_chdel() which frees memory for all the current Cholesky factorizations.
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ポインタを失った場合, カレントのコレスキー分解用のメモリを全て解放する taucs_chdel()を使用できます.
Translated and reviewed by Rui Hirokawa
9099 of 132 results

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Contributors to this translation: Hiroshi Saito, Rui Hirokawa, Scilab.team.