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comparison 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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1720:7fdc348f91ff 1721:7379f492c4b3
8 8
9 """ 9 """
10 SparseArray(t::LazyTensor) 10 SparseArray(t::LazyTensor)
11 11
12 The sparse tensor representation of `t` with range dimensions to the left and 12 The sparse tensor representation of `t` with range dimensions to the left and
13 domain dimensions to the right. If `L` is a `LazyTensor` with range and 13 domain dimensions to the right. If `L` is a `LazyTensor` with range and
14 domain dimension 2 and `v` a 2-tensor, then `A = SparseArray(t)` is 14 domain dimension 2 and `v` a 2-tensor, then `A = SparseArray(t)` is
15 constructed so that `∑ₖ∑ₗA[i,j,k,l]*v[k,l] == L*v`§ 15 constructed so that `∑ₖ∑ₗA[i,j,k,l]*v[k,l] == L*v`.
16 """ 16 """
17 function SparseArrayKit.SparseArray(t::LazyTensor) 17 function SparseArrayKit.SparseArray(t::LazyTensor)
18 v = ArrayToken(:v, domain_size(t)...) 18 v = ArrayToken(:v, domain_size(t)...)
19 return Tokens._to_tensor(t*v, range_size(t), domain_size(t)) 19 return Tokens._to_tensor(t*v, range_size(t), domain_size(t))
20 end 20 end