Remove SIMD methods and update Manifest with Julia v1.11

- Removed SIMD RK method references (MER5v2, MER6v2, RK6v4)
- Removed OrdinaryDiffEqCore and OrdinaryDiffEqSIMDRK dependencies
- Regenerated Manifest.toml with Julia 1.11
- Temporarily disabled SIMD methods until package is publicly available

Author: ChrisRackauckas

benchmarks/NonStiffODE/FitzhughNagumo_wpd.jmd

@@ -8,9 +8,9 @@ author: Chris Rackauckas
 The purpose of this is to see how the errors scale on a standard nonlinear problem.
 
 ```julia
-using OrdinaryDiffEq, OrdinaryDiffEqCore, ParameterizedFunctions, ODEInterface,
+using OrdinaryDiffEq, ParameterizedFunctions, ODEInterface,
       ODEInterfaceDiffEq, LSODA, Sundials, DiffEqDevTools,
-      StaticArrays, OrdinaryDiffEqSIMDRK
+      StaticArrays
 using Plots;
 gr()
 
@@ -46,10 +46,7 @@ setups = [Dict(:alg=>DP5())
           Dict(:alg=>Tsit5())
           Dict(:alg=>Vern6())
           Dict(:alg=>Tsit5(), :prob_choice => 2)
-          Dict(:alg=>Vern6(), :prob_choice => 2)
-          Dict(:alg=>MER5v2(), :prob_choice => 2)
-          Dict(:alg=>MER6v2(), :prob_choice => 2)
-          Dict(:alg=>RK6v4(), :prob_choice => 2)]
+          Dict(:alg=>Vern6(), :prob_choice => 2)]
 wp = WorkPrecisionSet(probs, abstols, reltols, setups; appxsol = test_sol,
     save_everystep = false, numruns = 100, maxiters = 1000)
 plot(wp)

benchmarks/NonStiffODE/LotkaVolterra_wpd.jmd

@@ -8,8 +8,8 @@ author: Chris Rackauckas
 The purpose of this problem is to test the performance on easy problems. Since it's periodic, the error is naturally low, and so most of the difference will come down to startup times and, when measuring the interpolations, the algorithm choices.
 
 ```julia
-using OrdinaryDiffEq, OrdinaryDiffEqCore, ParameterizedFunctions, ODEInterfaceDiffEq, LSODA,
-      Sundials, DiffEqDevTools, StaticArrays, OrdinaryDiffEqSIMDRK
+using OrdinaryDiffEq, ParameterizedFunctions, ODEInterfaceDiffEq, LSODA,
+      Sundials, DiffEqDevTools, StaticArrays
 
 f = @ode_def LotkaVolterra begin
     dx = a*x - b*x*y
@@ -43,10 +43,7 @@ setups = [Dict(:alg=>DP5())
           Dict(:alg=>Tsit5())
           Dict(:alg=>Vern6())
           Dict(:alg=>Tsit5(), :prob_choice => 2)
-          Dict(:alg=>Vern6(), :prob_choice => 2)
-          Dict(:alg=>MER5v2(), :prob_choice => 2)
-          Dict(:alg=>MER6v2(), :prob_choice => 2)
-          Dict(:alg=>RK6v4(), :prob_choice => 2)]
+          Dict(:alg=>Vern6(), :prob_choice => 2)]
 wp = WorkPrecisionSet(probs, abstols, reltols, setups; appxsol = test_sol,
     save_everystep = false, maxiters = 10000, numruns = 100)
 plot(wp)