diff --git a/lecture_notebooks/week10/04-multigrid.jl b/lecture_notebooks/week10/04-multigrid.jl
new file mode 100644
index 000000000..f40e744d9
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+++ b/lecture_notebooks/week10/04-multigrid.jl
@@ -0,0 +1,270 @@
+### A Pluto.jl notebook ###
+# v0.12.18
+
+using Markdown
+using InteractiveUtils
+
+# This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error).
+macro bind(def, element)
+    quote
+        local el = $(esc(element))
+        global $(esc(def)) = Core.applicable(Base.get, el) ? Base.get(el) : missing
+        el
+    end
+end
+
+# ╔═╡ 9a012a40-51bb-11eb-3cf5-c1f18fa24e81
+begin
+	using Plots
+	using PlutoUI
+end
+
+# ╔═╡ 523edf3c-51bf-11eb-06e0-2da64c65d871
+function add_heaters!(T::AbstractMatrix; t_left_heater=40, t_right_heater=40)
+	m, n = size(T)
+	
+	xdheater = n÷8#n÷8
+	ydheater = n÷6
+
+	T[(3*n÷8+1):(n÷2+1), 1:(xdheater)] .= t_left_heater 
+	T[(n÷2+1):(5*n÷8+1), (n - xdheater+1):n] .= t_right_heater
+	return T
+end
+	
+	
+
+# ╔═╡ b8dc007a-51bb-11eb-1929-8bbd024094f8
+function grid_with_boundary(k; t_window = 5, 
+	t_corner = 13, 
+	t_wall = 21, 
+	t_left_heater = 40, 
+	t_right_heater = 40)
+	
+	n = 2^k
+	xdheater = n÷16#n÷8
+	ydheater = n÷6
+	
+	
+	
+	f = zeros(n+1, n+1)
+	
+	
+	#window side
+	f[1, 1:(n÷2 +1)] .= range(t_corner, t_window; length=n÷2 + 1)
+	f[1, (n÷2+1):(3*n÷4)] .= 5
+	f[1, (3*n÷4+1):(n+1)] .= range(t_window, t_corner; length=n÷4+1)
+	
+	# no-window-wall-side
+	f[n+1, 1:n+1] .= t_wall
+	 
+	# left side, heater at 
+	l_heater = 0
+	f[1:(3*n÷8+1),1] .= range(t_corner, t_left_heater; length=3*n÷8+1)
+	f[(n÷2+1):(n+1),1] .= range(t_left_heater, t_wall; length=n÷2+1)
+	#right side
+	f[1:(n÷2+1), n+1] .= range(t_corner, t_right_heater; length=n÷2+1)
+	f[(5*n÷8+1):n+1, n+1] .= range(t_right_heater, t_wall; length=3*n÷8+1)
+
+	# heaters
+	add_heaters!(f)
+	f
+end
+
+# ╔═╡ 57a2c18e-51bd-11eb-2ab6-2196bc31826d
+T = grid_with_boundary(5)
+
+# ╔═╡ 645b67be-51bd-11eb-100f-a33067209967
+heatmap(T, yflip=true, ratio=1)
+
+# ╔═╡ 979464d0-51bf-11eb-2b6f-c57ce3c4a177
+function initial_condition(T)
+	m, n = size(T)
+	
+	Tp = copy(T)
+	for i in 2:m-1, j in 2:n-1
+		Tp[i, j] = (j*T[i,n]+(n+1-j)*T[i,1] + 
+			(m+1-i)*T[1,j] + i*T[m,j])/(m+n+2)
+	end
+	add_heaters!(Tp)
+	return Tp
+end
+
+# ╔═╡ ddf84e50-51bf-11eb-2275-5b1c191fd86c
+TT = initial_condition(T)
+
+# ╔═╡ eb877780-51bf-11eb-29f4-eb6b19c70dab
+heatmap(TT, yflip=true, ratio=1)
+
+# ╔═╡ 1172be62-51bf-11eb-33a2-0bcc684aabc4
+function jacobi_step(T::AbstractMatrix)
+	m, n = size(T)
+	T′ = deepcopy(T)	
+	add_heaters!(T′)
+	
+	for i in 2:m-1, j in 2:n-1
+		T′[i,j] = (T[i+1, j] + T[i-1, j] + T[i, j-1]+ T[i, j+1])/4 
+	end
+	return T′
+end
+
+# ╔═╡ b9f29b7c-51be-11eb-2397-75740f99afdb
+function simulation(T, ϵ=1e-3; num_steps=200)
+	results = [T]
+	
+	for i in 1:num_steps
+		T′ = jacobi_step(T)
+	#	add_heaters!(T′)
+		
+		push!(results, copy(T′))
+		
+		if maximum(abs.(T′-T)) < ϵ
+			return results
+		end
+			
+		T = copy(T′)
+	end
+	return results
+end		
+
+# ╔═╡ f2c1dc6a-51c0-11eb-0f74-0d40adb510d6
+sim = simulation(initial_condition(grid_with_boundary(8)))
+
+# ╔═╡ 3b721b6e-51c1-11eb-3b22-e71b9c9e779b
+@bind i Slider(1:length(sim), show_value=true)
+
+# ╔═╡ 146979f4-51c1-11eb-34c5-4b0b8f7faa77
+heatmap(sim[i], yflip=true, ratio=1)
+
+# ╔═╡ 3995d47a-51c1-11eb-2777-496d7aae22ae
+md"""
+# Better initial conditions
+"""
+
+# ╔═╡ ce5baa50-51c4-11eb-2931-37ac106dee50
+coarse = initial_condition(grid_with_boundary(4))
+
+# ╔═╡ 64fa3986-51c5-11eb-22a8-0b6e91141463
+md"""
+note this grid is not fine enough to resolve "european" radiators. Edit add_heaters!
+"""
+
+# ╔═╡ 06264738-51c5-11eb-12fa-d3e39cb2974a
+heatmap(coarse, yflip=true, ratio=1)
+
+# ╔═╡ a282dcf4-51c5-11eb-11c0-251708544c27
+coarse_results = simulation(coarse, 1e-10, num_steps=5000); 
+
+# ╔═╡ bf653d76-51c5-11eb-02ea-fd083318ad69
+heatmap(coarse_results[end], yflip=true, ratio=1)
+
+# ╔═╡ ce76d0e0-51c5-11eb-39e3-f1e309862f86
+function uplevel(T)
+	
+	n = size(T, 1)
+	k = floor(Int, log2(n-1))
+	Tp = grid_with_boundary(k+1)
+	add_heaters!(Tp)
+	
+	new_n = size(Tp, 1)
+	
+	for i in 2:new_n-1, j in 2:new_n-1
+		
+#		Tp[i, j] = T[i÷2, j÷2]
+		Tp[i,j] = 1/4*(T[Int(floor((i+1)/2)), Int(floor((j+1)/2))] + 
+			T[Int(ceil((i+1)/2)), Int(floor((j+1)/2))] + 
+			T[Int(floor((i+1)/2)), Int(ceil((j+1)/2))] + 
+			T[Int(ceil((i+1)/2)), Int(ceil((j+1)/2))]
+		)
+	end
+	return Tp
+end
+
+# ╔═╡ 36355710-51c6-11eb-2c9f-49aafa1299f4
+fine_init = uplevel(coarse_results[end])
+
+# ╔═╡ 1561349a-51c7-11eb-0680-a3583182ed0e
+heatmap(fine_init, yflip=true, ratio=1)
+
+# ╔═╡ 2a89b496-51c7-11eb-23c4-13468d2dafc4
+function multilevel(T, k_final)
+	
+	n = size(T,1)
+	k_start = floor(Int, log2(n-1))
+	ks = Int[]
+	iterations = Int[]
+	
+	for k in k_start:k_final
+		push!(ks, k)
+		
+		results = simulation(T, 1e-2; num_steps=5000)
+		push!(iterations, length(results))
+		
+		T = results[end]
+		
+		if k < k_final
+			T = uplevel(T)
+		end
+	end
+	return T, ks, iterations
+end
+
+# ╔═╡ 6fc2ef0a-51c7-11eb-0e7f-bb814652e55b
+starting_point = initial_condition(grid_with_boundary(4)); 
+
+# ╔═╡ 7bc0793a-51c7-11eb-2351-07de34312ca0
+heatmap(starting_point, yflip=true, ratio=1)
+
+# ╔═╡ 8b23aa78-51c7-11eb-04e8-e597978443bc
+@elapsed last, ks, iterations = multilevel(starting_point, 10)
+
+# ╔═╡ 9abbf7d0-51c7-11eb-22fe-b7571e67d774
+ks
+
+# ╔═╡ 9d4e7f02-51c7-11eb-35b0-196fe82c0926
+iterations
+
+# ╔═╡ a939045e-51c7-11eb-1838-3712862e37e3
+cost = sum([iterations[i]/(2^(j)) for (i,j) in zip(7:-1:1,0:2:11)])
+
+# ╔═╡ 0c4e53f6-51c9-11eb-20dd-9586c6741f65
+cost2 = iterations[7]/1 + iterations[6]/4 + iterations[5]/2^4 + iterations[4]/2^6 + iterations[3]/2^8 +iterations[2]/2^10 + iterations[1]/2^11
+
+# ╔═╡ ab32bccc-51c8-11eb-135d-554aa86de7a7
+for (i,j) in zip(1:5, 5:1) @debug(i,j) end
+
+# ╔═╡ 5cb7e206-51c9-11eb-04dd-9b1632a51c74
+heatmap(last, yflip=true, ratio=1)
+
+# ╔═╡ Cell order:
+# ╠═9a012a40-51bb-11eb-3cf5-c1f18fa24e81
+# ╠═b8dc007a-51bb-11eb-1929-8bbd024094f8
+# ╠═57a2c18e-51bd-11eb-2ab6-2196bc31826d
+# ╠═645b67be-51bd-11eb-100f-a33067209967
+# ╠═979464d0-51bf-11eb-2b6f-c57ce3c4a177
+# ╠═ddf84e50-51bf-11eb-2275-5b1c191fd86c
+# ╠═eb877780-51bf-11eb-29f4-eb6b19c70dab
+# ╠═b9f29b7c-51be-11eb-2397-75740f99afdb
+# ╠═1172be62-51bf-11eb-33a2-0bcc684aabc4
+# ╠═523edf3c-51bf-11eb-06e0-2da64c65d871
+# ╠═f2c1dc6a-51c0-11eb-0f74-0d40adb510d6
+# ╠═3b721b6e-51c1-11eb-3b22-e71b9c9e779b
+# ╠═146979f4-51c1-11eb-34c5-4b0b8f7faa77
+# ╟─3995d47a-51c1-11eb-2777-496d7aae22ae
+# ╠═ce5baa50-51c4-11eb-2931-37ac106dee50
+# ╟─64fa3986-51c5-11eb-22a8-0b6e91141463
+# ╠═06264738-51c5-11eb-12fa-d3e39cb2974a
+# ╠═a282dcf4-51c5-11eb-11c0-251708544c27
+# ╠═bf653d76-51c5-11eb-02ea-fd083318ad69
+# ╠═ce76d0e0-51c5-11eb-39e3-f1e309862f86
+# ╠═36355710-51c6-11eb-2c9f-49aafa1299f4
+# ╠═1561349a-51c7-11eb-0680-a3583182ed0e
+# ╠═2a89b496-51c7-11eb-23c4-13468d2dafc4
+# ╠═6fc2ef0a-51c7-11eb-0e7f-bb814652e55b
+# ╠═7bc0793a-51c7-11eb-2351-07de34312ca0
+# ╠═8b23aa78-51c7-11eb-04e8-e597978443bc
+# ╠═9abbf7d0-51c7-11eb-22fe-b7571e67d774
+# ╠═9d4e7f02-51c7-11eb-35b0-196fe82c0926
+# ╠═a939045e-51c7-11eb-1838-3712862e37e3
+# ╠═0c4e53f6-51c9-11eb-20dd-9586c6741f65
+# ╠═ab32bccc-51c8-11eb-135d-554aa86de7a7
+# ╠═5cb7e206-51c9-11eb-04dd-9b1632a51c74