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pass the order variable to MOLFiniteDifference #444

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pass the order variable to MOLFiniteDifference #444

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2 changes: 1 addition & 1 deletion docs/src/tutorials/PIDE.md
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Original file line number Diff line number Diff line change
Expand Up @@ -49,7 +49,7 @@ domains = [t ∈ Interval(0.0, 2.0), x ∈ Interval(xmin, xmax)]
@named pde_system = PDESystem(eq, bcs, domains, [t, x], [u(t, x), cumuSum(t, x)])

order = 2
discretization = MOLFiniteDifference([x => 30], t)
discretization = MOLFiniteDifference([x => 30], t, approx_order = order)

prob = MethodOfLines.discretize(pde_system, discretization)
sol = solve(prob, QNDF(), saveat = 0.1);
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6 changes: 3 additions & 3 deletions docs/src/tutorials/heat.md
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Expand Up @@ -31,7 +31,7 @@ domains = [t ∈ Interval(0.0, 1.0),
# Method of lines discretization
dx = 0.1
order = 2
discretization = MOLFiniteDifference([x => dx], t)
discretization = MOLFiniteDifference([x => dx], t, approx_order = order)

# Convert the PDE problem into an ODE problem
prob = discretize(pdesys, discretization)
Expand Down Expand Up @@ -87,7 +87,7 @@ domains = [t ∈ Interval(0.0, 1.0),
# Need a small dx here for accuracy
dx = 0.01
order = 2
discretization = MOLFiniteDifference([x => dx], t)
discretization = MOLFiniteDifference([x => dx], t, approx_order = order)

# Convert the PDE problem into an ODE problem
prob = discretize(pdesys, discretization)
Expand Down Expand Up @@ -144,7 +144,7 @@ domains = [t ∈ Interval(0.0, 1.0),
# Need a small dx here for accuracy
dx = 0.05
order = 2
discretization = MOLFiniteDifference([x => dx], t)
discretization = MOLFiniteDifference([x => dx], t, approx_order = order)

# Convert the PDE problem into an ODE problem
prob = discretize(pdesys, discretization)
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2 changes: 1 addition & 1 deletion docs/src/tutorials/sispde.md
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Expand Up @@ -75,7 +75,7 @@ domains = [t ∈ Interval(0.0, 10.0),
# Need a small dx here for accuracy
dx = 0.01
order = 2
discretization = MOLFiniteDifference([x => dx], t)
discretization = MOLFiniteDifference([x => dx], t, approx_order = order)

# Convert the PDE problem into an ODE problem
prob = discretize(pdesys, discretization);
Expand Down