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(
+. ) :: (Index ix, Numeric r e) => e -> Array r ix e -> Array r ix emassiv Data.Massiv.Array.Numeric Add a scalar to each element of the array. Array is on the right.
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protolude Protolude (++) appends two lists, i.e.,
[x1, ..., xm] ++ [y1, ..., yn] == [x1, ..., xm, y1, ..., yn] [x1, ..., xm] ++ [y1, ...] == [x1, ..., xm, y1, ...]
If the first list is not finite, the result is the first list.Performance considerations
This function takes linear time in the number of elements of the first list. Thus it is better to associate repeated applications of (++) to the right (which is the default behaviour): xs ++ (ys ++ zs) or simply xs ++ ys ++ zs, but not (xs ++ ys) ++ zs. For the same reason concat = foldr (++) [] has linear performance, while foldl (++) [] is prone to quadratic slowdownExamples
>>> [1, 2, 3] ++ [4, 5, 6] [1,2,3,4,5,6]
>>> [] ++ [1, 2, 3] [1,2,3]
>>> [3, 2, 1] ++ [] [3,2,1]
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protolude Protolude.Base (++) appends two lists, i.e.,
[x1, ..., xm] ++ [y1, ..., yn] == [x1, ..., xm, y1, ..., yn] [x1, ..., xm] ++ [y1, ...] == [x1, ..., xm, y1, ...]
If the first list is not finite, the result is the first list.Performance considerations
This function takes linear time in the number of elements of the first list. Thus it is better to associate repeated applications of (++) to the right (which is the default behaviour): xs ++ (ys ++ zs) or simply xs ++ ys ++ zs, but not (xs ++ ys) ++ zs. For the same reason concat = foldr (++) [] has linear performance, while foldl (++) [] is prone to quadratic slowdownExamples
>>> [1, 2, 3] ++ [4, 5, 6] [1,2,3,4,5,6]
>>> [] ++ [1, 2, 3] [1,2,3]
>>> [3, 2, 1] ++ [] [3,2,1]
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numeric-prelude Number.Complex Construct a complex number from real and imaginary part.
(
+:: ) :: a -> (a, a, a) -> T anumeric-prelude Number.Quaternion Construct a quaternion from real and imaginary part.
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numeric-prelude NumericPrelude (++) appends two lists, i.e.,
[x1, ..., xm] ++ [y1, ..., yn] == [x1, ..., xm, y1, ..., yn] [x1, ..., xm] ++ [y1, ...] == [x1, ..., xm, y1, ...]
If the first list is not finite, the result is the first list.Performance considerations
This function takes linear time in the number of elements of the first list. Thus it is better to associate repeated applications of (++) to the right (which is the default behaviour): xs ++ (ys ++ zs) or simply xs ++ ys ++ zs, but not (xs ++ ys) ++ zs. For the same reason concat = foldr (++) [] has linear performance, while foldl (++) [] is prone to quadratic slowdownExamples
>>> [1, 2, 3] ++ [4, 5, 6] [1,2,3,4,5,6]
>>> [] ++ [1, 2, 3] [1,2,3]
>>> [3, 2, 1] ++ [] [3,2,1]
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numeric-prelude NumericPrelude.Base (++) appends two lists, i.e.,
[x1, ..., xm] ++ [y1, ..., yn] == [x1, ..., xm, y1, ..., yn] [x1, ..., xm] ++ [y1, ...] == [x1, ..., xm, y1, ...]
If the first list is not finite, the result is the first list.Performance considerations
This function takes linear time in the number of elements of the first list. Thus it is better to associate repeated applications of (++) to the right (which is the default behaviour): xs ++ (ys ++ zs) or simply xs ++ ys ++ zs, but not (xs ++ ys) ++ zs. For the same reason concat = foldr (++) [] has linear performance, while foldl (++) [] is prone to quadratic slowdownExamples
>>> [1, 2, 3] ++ [4, 5, 6] [1,2,3,4,5,6]
>>> [] ++ [1, 2, 3] [1,2,3]
>>> [3, 2, 1] ++ [] [3,2,1]
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numhask NumHask Complex number constructor. Internally, Complex derives most instances via EuclideanPair. For instance,
>>> sqrt (1.0 +: (-1.0)) :: Complex Double Complex {complexPair = (1.0986841134678098,-0.45508986056222733)}>>> sqrt ((-1.0) +: 0.0) :: Complex Double Complex {complexPair = (6.123233995736766e-17,1.0)} (
+| ) :: AdditiveAction m => AdditiveScalar m -> m -> mnumhask NumHask flipped additive action
(+|) == flip (|+) zero +| m = m
(
+| ) :: AdditiveAction m => AdditiveScalar m -> m -> mnumhask NumHask.Algebra.Action flipped additive action
(+|) == flip (|+) zero +| m = m