JPG->PNG

examples/Example210_LowLevelNavierStokes.jl

@@ -26,7 +26,7 @@ Newton's method with automatic differentation is used to handle the nonlinear co
 
 The computed solution for the default parameters looks like this:
 
-![](example210.jpg)
+![](example210.png)
 =#
 
 module Example210_LowLevelNavierStokes
@@ -400,6 +400,6 @@ end
 function generateplots(dir = pwd(); Plotter = nothing, kwargs...)
 	~, plt = main(; Plotter = Plotter, kwargs...)
 	scene = GridVisualize.reveal(plt)
-	GridVisualize.save(joinpath(dir, "example210.jpg"), scene; Plotter = Plotter)
+	GridVisualize.save(joinpath(dir, "example210.png"), scene; Plotter = Plotter)
 end
 end #module

examples/Example281_DiscontinuousPlot.jl

@@ -8,7 +8,7 @@ on a grid with two regions by region-wise nodal values and plotting.
 
 The computed solution for the default parameters looks like this:
 
-![](example281.jpg)
+![](example281.png)
 =#
 
 module Example281_DiscontinuousPlot
@@ -71,6 +71,6 @@ end
 function generateplots(dir = pwd(); Plotter = nothing, kwargs...)
 	plt = main(; Plotter = Plotter, kwargs...)
 	scene = GridVisualize.reveal(plt)
-	GridVisualize.save(joinpath(dir, "example281.jpg"), scene; Plotter = Plotter)
+	GridVisualize.save(joinpath(dir, "example281.png"), scene; Plotter = Plotter)
 end
 end

examples/Example290_InterpolationBetweenMeshes.jl

@@ -8,7 +8,7 @@ this P2 function on two uniform refinements into some P1 function. Then, both fi
 
 The computed solution for the default parameters looks like this:
 
-![](example290.jpg)
+![](example290.png)
 =#
 
 module Example290_InterpolationBetweenMeshes
@@ -62,7 +62,7 @@ end
 function generateplots(dir = pwd(); Plotter = nothing, kwargs...)
 	plt = main(; Plotter = Plotter, kwargs...)
 	scene = GridVisualize.reveal(plt)
-	GridVisualize.save(joinpath(dir, "example290.jpg"), scene; Plotter = Plotter)
+	GridVisualize.save(joinpath(dir, "example290.png"), scene; Plotter = Plotter)
 end
 
 end