From b7fc345fa3da5a4a66196f4cd6e3773efd5bf69b Mon Sep 17 00:00:00 2001
From: Chris Rackauckas <accounts@chrisrackauckas.com>
Date: Thu, 28 Nov 2019 08:27:46 -0500
Subject: [PATCH] =?UTF-8?q?=CE=94t=20to=20dt?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Allows for non-unicode interface
---
 examples/DMD_Examples.jl |  2 +-
 src/exact_dmd.jl         | 16 ++++++++--------
 src/extended_dmd.jl      | 10 +++++-----
 3 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/examples/DMD_Examples.jl b/examples/DMD_Examples.jl
index 701f3353b..933c3ba69 100644
--- a/examples/DMD_Examples.jl
+++ b/examples/DMD_Examples.jl
@@ -65,7 +65,7 @@ sol_cont = solve(prob_cont, saveat = 0.1)
 
 plot(sol_cont)
 
-approx_cont = ExactDMD(sol_cont[:,:], Δt = 0.1)
+approx_cont = ExactDMD(sol_cont[:,:], dt = 0.1)
 
 test = dynamics(approx_cont, discrete = false)
 
diff --git a/src/exact_dmd.jl b/src/exact_dmd.jl
index d462ff26d..411de4fed 100644
--- a/src/exact_dmd.jl
+++ b/src/exact_dmd.jl
@@ -17,11 +17,11 @@ mutable struct ExactDMD{M,L,W,F, Q, P} <: abstractKoopmanOperator
 
 end
 
-function ExactDMD(X::AbstractArray; Δt::Float64 = 0.0)
-    return ExactDMD(X[:, 1:end-1], X[:, 2:end], Δt = Δt)
+function ExactDMD(X::AbstractArray; dt::Float64 = 0.0)
+    return ExactDMD(X[:, 1:end-1], X[:, 2:end], dt = dt)
 end
 
-function ExactDMD(X::AbstractArray, Y::AbstractArray; Δt::Float64 = 0.0)
+function ExactDMD(X::AbstractArray, Y::AbstractArray; dt::Float64 = 0.0)
     @assert size(X)[2] .== size(Y)[2]
     @assert size(Y)[1] .<= size(Y)[2]
 
@@ -30,9 +30,9 @@ function ExactDMD(X::AbstractArray, Y::AbstractArray; Δt::Float64 = 0.0)
     # Eigen Decomposition for solution
     Λ, W = eigen(Ã)
 
-    if Δt > 0.0
+    if dt > 0.0
         # Casting Complex enforces results
-        ω = log.(Complex.(Λ)) / Δt
+        ω = log.(Complex.(Λ)) / dt
     else
         ω = []
     end
@@ -75,7 +75,7 @@ end
 
 
 # Update with new measurements
-function update!(m::ExactDMD, x::AbstractArray, y::AbstractArray; Δt::Float64 = 0.0, threshold::Float64 = 1e-3)
+function update!(m::ExactDMD, x::AbstractArray, y::AbstractArray; dt::Float64 = 0.0, threshold::Float64 = 1e-3)
     # Check the error
     ϵ = norm(y - m.Ã*x, 2)
 
@@ -88,9 +88,9 @@ function update!(m::ExactDMD, x::AbstractArray, y::AbstractArray; Δt::Float64 =
     m.Ã = m.Qₖ*inv(m.Pₖ)
     m.λ, m.ϕ = eigen(m.Ã)
 
-    if Δt > 0.0
+    if dt > 0.0
         # Casting Complex enforces results
-        ω = log.(Complex.(m.λ)) / Δt
+        ω = log.(Complex.(m.λ)) / dt
     else
         ω = []
     end
diff --git a/src/extended_dmd.jl b/src/extended_dmd.jl
index b0ea90b9b..b656ca418 100644
--- a/src/extended_dmd.jl
+++ b/src/extended_dmd.jl
@@ -16,11 +16,11 @@ eigen(m::ExtendedDMD) = eigen(m.koopman)
 eigvals(m::ExtendedDMD) = eigvals(m.koopman)
 eigvecs(m::ExtendedDMD) = eigvecs(m.koopman)
 
-function ExtendedDMD(X::AbstractArray, Ψ::abstractBasis; p::AbstractArray = [],  B::AbstractArray = reshape([], 0,0), Δt::Float64 = 1.0)
-    return ExtendedDMD(X[:, 1:end-1], X[:, 2:end], Ψ, p = p, B = B, Δt = Δt)
+function ExtendedDMD(X::AbstractArray, Ψ::abstractBasis; p::AbstractArray = [],  B::AbstractArray = reshape([], 0,0), dt::Float64 = 1.0)
+    return ExtendedDMD(X[:, 1:end-1], X[:, 2:end], Ψ, p = p, B = B, dt = dt)
 end
 
-function ExtendedDMD(X::AbstractArray, Y::AbstractArray, Ψ::abstractBasis; p::AbstractArray = [], B::AbstractArray = reshape([], 0,0), Δt::Float64 = 1.0)
+function ExtendedDMD(X::AbstractArray, Y::AbstractArray, Ψ::abstractBasis; p::AbstractArray = [], B::AbstractArray = reshape([], 0,0), dt::Float64 = 1.0)
     @assert size(X)[2] .== size(Y)[2]
     @assert size(Y)[1] .<= size(Y)[2]
 
@@ -43,10 +43,10 @@ function ExtendedDMD(X::AbstractArray, Y::AbstractArray, Ψ::abstractBasis; p::A
     return ExtendedDMD(Op, B, Ψ)
 end
 
-function update!(m::ExtendedDMD, x::AbstractArray, y::AbstractArray; p::AbstractArray = [], Δt::Float64 = 0.0, threshold::Float64 = 1e-3)
+function update!(m::ExtendedDMD, x::AbstractArray, y::AbstractArray; p::AbstractArray = [], dt::Float64 = 0.0, threshold::Float64 = 1e-3)
     Ψ₀ = m.basis(x, p = p)
     Ψ₁ = m.basis(y, p = p)
-    update!(m.koopman, Ψ₀, Ψ₁, Δt = Δt, threshold = threshold)
+    update!(m.koopman, Ψ₀, Ψ₁, dt = dt, threshold = threshold)
     return
 end