update matlab_bench.

Author: ChrisRackauckas

README.md

@@ -117,24 +117,25 @@ julia> @time MATLABDiffEq.eval_string("[t,u] = $(algstr)(f,tspan,u0,options);")
 
 MATLABDiffEq.jl will be included into [DiffEqBenchmarks.jl](https://github.com/JuliaDiffEq/DiffEqBenchmarks.jl). However, the benchmarks are not encouraging to MATLAB at all.  Instead, they show that the cost of evaluating functions in MATLAB are too large (note that the functions are re-defined in MATLAB, meaning that they are true MATLAB functions and not interop functions).
 
-Running bechmarks at various tolerance using the same problem as before, we get the following:
+Running benchmarks at various tolerance using the same Lotka-Volterra problem from before, we get the following:
 
 ```julia
 using OrdinaryDiffEq, ODEInterfaceDiffEq, Plots, ODE
+using DiffEqDevTools
 abstols = 1./10.^(6:13)
 reltols = 1./10.^(3:10)
 sol = solve(prob,Vern7(),abstol=1/10^14,reltol=1/10^14)
 test_sol = TestSolution(sol)
 plotly()
 setups = [Dict(:alg=>DP5())
-          #Dict(:alg=>ode45())
           Dict(:alg=>dopri5())
           Dict(:alg=>BS5())
           Dict(:alg=>Tsit5())
           Dict(:alg=>Vern6())
+          Dict(:alg=>Vern7())
           Dict(:alg=>MATLABDiffEq.ode45())
-]
-wp = ode_workprecision_set(prob,abstols,reltols,setups;appxsol=test_sol,dense=false,save_timeseries=false,numruns=100,maxiters=10000000)
+  ]
+wp = ode_workprecision_set(prob,abstols,reltols,setups;appxsol=test_sol,dense=false,save_everystep=false,numruns=1000,maxiters=10000000,ttimeseries_errors=false,verbose=false)
 plot(wp)
 ```
 

assets/matlab_bench.png

@@ -15,8 +15,8 @@ immutable ode23tb <: MATLABAlgorithm end
 immutable ode15s <: MATLABAlgorithm end
 immutable ode15i <: MATLABAlgorithm end
 
-function solve{uType,tType,isinplace,AlgType<:MATLABAlgorithm,F}(
-    prob::AbstractODEProblem{uType,tType,isinplace,F},
+function solve{uType,tType,isinplace,AlgType<:MATLABAlgorithm}(
+    prob::AbstractODEProblem{uType,tType,isinplace},
     alg::AlgType,timeseries=[],ts=[],ks=[];
     saveat=tType[],timeseries_errors=true,reltol = 1e-3, abstol = 1e-6,
     kwargs...)
@@ -28,7 +28,7 @@ function solve{uType,tType,isinplace,AlgType<:MATLABAlgorithm,F}(
     if prob.tspan[end]-prob.tspan[1]<tType(0)
         error("final time must be greater than starting time. Aborting.")
     end
-    
+
     f = prob.f
     u0 = prob.u0