Hi,

I’ve been working with DifferentialEquations Package -

I am ready to run some global sensitivity analysis (GSA)

I noticed that the way to input the ranges of evaluation goes something like this

Let’s say my parameter p=1 and I want to calculate GSA using morris.sensitivity on a logarithmic range between 1/100 and 100

for example-

Let’s say

```
t = collect(range(0, stop=10, length=20))
p=1
p_range = [p/100, p*100]
psteps =11
# m = DiffEqSensitivity.morris_sensitivity(An_ODE_tProb,Rodas5(),t,p_ranges,p_steps, relative_scale=false)
```

If I am correct the range on which Morris will be evaluated for p is equivalent to

```
collect(range(1.0/100, length=11, stop=1.0*100))
```

11-element Array{Float64,1}:

0.01

10.009

20.008

30.007

40.006

50.005

60.004

70.003

80.002

90.001

100.0

Is this correct?

If this is true consider that a logscale would be a better range to sample through the different

orders of magnitude for the parameter in question-

for example-

something like this

```
10 .^range(log10(p/100), length=11, stop=log10(p*100))
```

samples through

11-element Array{Float64,1}:

0.01

0.025118864315095794

0.06309573444801933

0.15848931924611132

0.3981071705534972

1.0

2.51188643150958

6.309573444801933

15.848931924611133

39.810717055349734

100.0

Am I right that the parameter space is divided linearly and not logarithmic?

If so is there a way anyone can think to specify a logarithmic range for the parameter space given that

DiffEqSensitivity.morris_sensitivity takes a list of lower and upper limits and number of steps for each parameter and not a simple list of values?

thanks

A