125 lines
3.7 KiB
Julia
125 lines
3.7 KiB
Julia
### A Pluto.jl notebook ###
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# v0.12.21
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using Markdown
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using InteractiveUtils
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# ╔═╡ 460801f2-157a-11eb-3658-9d307bab4389
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a = [1, 2, 3]
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# ╔═╡ c3fd9566-760c-11eb-2d1c-f3b52fd12e20
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md"Vectors need commas; without it's a matrix"
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# ╔═╡ 9598a998-170e-11eb-121d-bd32a8b635e8
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A = [1 2 3]
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# ╔═╡ 99361c56-157a-11eb-358b-052df821fa7a
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supertypes(typeof(a))
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# ╔═╡ de0fe940-170c-11eb-3d9f-ef06b9e2e5cc
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AbstractArray{Int, 1} == AbstractVector{Int}
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# ╔═╡ 1c6f0554-170d-11eb-2a68-8781698b424a
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AbstractArray{Int, 2} == AbstractMatrix{Int}
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# ╔═╡ 64ce9d96-170d-11eb-3ad4-750514d8b1e5
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supertypes(Matrix{Int})
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# ╔═╡ 6a7549a2-170d-11eb-0c93-956b6767716a
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AbstractMatrix{Int} in supertypes(Matrix{Int})
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# ╔═╡ e4df20f6-760c-11eb-3f08-eda9ff01a064
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md"In Julia vector and scalars are different"
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# ╔═╡ af3d6d8a-170d-11eb-090a-6156e3fe68f3
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c = 1
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# ╔═╡ fcfeba42-170d-11eb-0adf-47738ff9966f
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v = [1]
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# ╔═╡ a94656e0-170e-11eb-349c-6f67df33b694
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M = [1 2; 3 4]
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# ╔═╡ d1ea4808-170d-11eb-0da3-85546b4a84cb
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typeof(c), typeof(v), typeof(M)
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# ╔═╡ ff618b7e-760c-11eb-1d3d-9b2253b2d0ff
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md"ndims, size. work like in matlab"
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# ╔═╡ e5ac61ae-170e-11eb-3333-2502ddcbe665
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ndims(c), ndims(v), ndims(M)
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# ╔═╡ f60f9c78-170e-11eb-2153-a3b8da1bc465
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size(c), size(v), size(M)
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# ╔═╡ 0b554e86-760d-11eb-2e4e-0df801ca24d9
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md"`length` is equivalent to Matlab's `numel`, and also works on scalars"
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# ╔═╡ cda89e3e-1717-11eb-39d5-fb6f72356405
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length(c), length(v), length(M)
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# ╔═╡ 04713bc8-170f-11eb-3da7-ddfd3f4d8cfe
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# except that size() returns a tuple
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typeof(size(M))
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# ╔═╡ 8a2a5e40-1712-11eb-0a43-8d18e6f18da4
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# indexing an element produces a scalar, contrary to matlab
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M[1, 2]
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# ╔═╡ b44d27ee-1c66-11eb-17e9-754563299763
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# indexing a full row or column always returns a 1 dimensional array
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M[1, :]
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# ╔═╡ ca9e20b0-1712-11eb-15e0-93bbc100efa0
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a[1]
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# ╔═╡ 1828dede-760d-11eb-3509-e7395c7da5aa
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md"
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Difference from matlab: vectors are column vectors by default:
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it becomes apparent by transposing (result is two-dimensional)"
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# ╔═╡ f4908192-1712-11eb-20d8-97d992c4fc0d
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transpose(a)
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# ╔═╡ 81e6f900-1717-11eb-03e7-15e486b854d9
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#adjoint is
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[1+im, 3]' # or (adjoint a)
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# ╔═╡ 848dd826-1ba0-11eb-1222-f5b9be57de44
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# create an array of undefined elements
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ten_integers = Array{Int}(undef, 10)
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# ╔═╡ a44f73a2-1ba0-11eb-3199-7703ad587000
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# create an array of ten elements initalized to 3
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ten_3 = fill(Int32(3), 10)
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# ╔═╡ Cell order:
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# ╠═460801f2-157a-11eb-3658-9d307bab4389
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# ╟─c3fd9566-760c-11eb-2d1c-f3b52fd12e20
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# ╠═9598a998-170e-11eb-121d-bd32a8b635e8
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# ╠═99361c56-157a-11eb-358b-052df821fa7a
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# ╠═de0fe940-170c-11eb-3d9f-ef06b9e2e5cc
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# ╠═1c6f0554-170d-11eb-2a68-8781698b424a
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# ╠═64ce9d96-170d-11eb-3ad4-750514d8b1e5
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# ╠═6a7549a2-170d-11eb-0c93-956b6767716a
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# ╟─e4df20f6-760c-11eb-3f08-eda9ff01a064
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# ╠═af3d6d8a-170d-11eb-090a-6156e3fe68f3
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# ╠═fcfeba42-170d-11eb-0adf-47738ff9966f
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# ╠═a94656e0-170e-11eb-349c-6f67df33b694
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# ╠═d1ea4808-170d-11eb-0da3-85546b4a84cb
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# ╟─ff618b7e-760c-11eb-1d3d-9b2253b2d0ff
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# ╠═e5ac61ae-170e-11eb-3333-2502ddcbe665
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# ╠═f60f9c78-170e-11eb-2153-a3b8da1bc465
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# ╟─0b554e86-760d-11eb-2e4e-0df801ca24d9
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# ╠═cda89e3e-1717-11eb-39d5-fb6f72356405
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# ╠═04713bc8-170f-11eb-3da7-ddfd3f4d8cfe
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# ╠═8a2a5e40-1712-11eb-0a43-8d18e6f18da4
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# ╠═b44d27ee-1c66-11eb-17e9-754563299763
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# ╠═ca9e20b0-1712-11eb-15e0-93bbc100efa0
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# ╟─1828dede-760d-11eb-3509-e7395c7da5aa
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# ╠═f4908192-1712-11eb-20d8-97d992c4fc0d
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# ╠═81e6f900-1717-11eb-03e7-15e486b854d9
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# ╠═848dd826-1ba0-11eb-1222-f5b9be57de44
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# ╠═a44f73a2-1ba0-11eb-3199-7703ad587000
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