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:vectorクラス
- Matrix (175)
-
Matrix
:: EigenvalueDecomposition (60) -
Matrix
:: LUPDecomposition (12) -
OpenSSL
:: Cipher (24) - Vector (559)
キーワード
- * (48)
- + (24)
- +@ (12)
- - (24)
- -@ (12)
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/ (12) - == (12)
- [] (12)
- []= (21)
-
angle
_ with (12) - clone (5)
-
cofactor
_ expansion (12) - collect (24)
- collect! (14)
- collect2 (24)
- column (24)
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column
_ vectors (12) - component (12)
- covector (12)
- cross (12)
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cross
_ product (12) - dot (12)
- each (24)
- each2 (24)
-
eigenvector
_ matrix (12) -
eigenvector
_ matrix _ inv (12) - eigenvectors (12)
- element (12)
-
elements
_ to _ f (12) -
elements
_ to _ i (12) -
elements
_ to _ r (12) - eql? (12)
- hash (12)
- independent? (12)
-
inner
_ product (12) - inspect (12)
- iv= (12)
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iv
_ len (12) -
laplace
_ expansion (12) - lup (12)
-
lup
_ decomposition (12) - magnitude (12)
- map (24)
- map! (14)
- map2 (12)
- norm (12)
- normalize (12)
- r (12)
- row (24)
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row
_ vectors (12) - size (12)
- solve (12)
-
to
_ a (12) -
to
_ s (12) - v (12)
-
v
_ inv (12) - zero? (8)
検索結果
先頭3件
-
Matrix
# lup -> Matrix :: LUPDecomposition (7.0) -
行列の LUP 分解を保持したオブジェクトを返します。
...します。
//emlist[例][ruby]{
require 'matrix'
a = Matrix[[1, 2], [3, 4]]
l, u, p = a.lup
l.lower_triangular? # => true
u.upper_triangular? # => true
p.permutation? # => true
l * u == p * a # => true
a.lup.solve([2, 5]) # => Vector[(1/1), (1/2)]
//}
@see Matrix::LUPDecomposition... -
Matrix
# lup _ decomposition -> Matrix :: LUPDecomposition (7.0) -
行列の LUP 分解を保持したオブジェクトを返します。
...します。
//emlist[例][ruby]{
require 'matrix'
a = Matrix[[1, 2], [3, 4]]
l, u, p = a.lup
l.lower_triangular? # => true
u.upper_triangular? # => true
p.permutation? # => true
l * u == p * a # => true
a.lup.solve([2, 5]) # => Vector[(1/1), (1/2)]
//}
@see Matrix::LUPDecomposition... -
Matrix
# *(other) -> Matrix (4.0) -
self の各成分に数 other を掛けた行列を返します。
self の各成分に数 other を掛けた行列を返します。
@param other self の各成分に掛ける Numeric オブジェクトを指定します。