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annotate ext/SbplibSparseArrayKitExt.jl @ 1721:7379f492c4b3 feature/lazy_tensors/sparse_conversions

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Fix typos in docstring
author Vidar Stiernström <vidar.stiernstrom@gmail.com>
date Thu, 05 Sep 2024 08:31:03 -0700
parents 8787b2f9f5f8
children
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1 module SbplibSparseArrayKitExt
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2
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3 using Sbplib
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4 using Sbplib.LazyTensors
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5
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6 using SparseArrayKit
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7 using Tokens
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8
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9 """
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10 SparseArray(t::LazyTensor)
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11
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12 The sparse tensor representation of `t` with range dimensions to the left and
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7379f492c4b3 Fix typos in docstring
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13 domain dimensions to the right. If `L` is a `LazyTensor` with range and
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14 domain dimension 2 and `v` a 2-tensor, then `A = SparseArray(t)` is
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15 constructed so that `∑ₖ∑ₗA[i,j,k,l]*v[k,l] == L*v`.
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16 """
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17 function SparseArrayKit.SparseArray(t::LazyTensor)
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18 v = ArrayToken(:v, domain_size(t)...)
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19 return Tokens._to_tensor(t*v, range_size(t), domain_size(t))
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20 end
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21
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22 end