[Scilab-users] Optimizing parameters of a set of ODE on experimental results solved by C++ code

Hello, I have a problem under the form of a set of 2 ODE that includes 6 free parameters. I need to optimize these parameters based on experimental results. So far, basically, I have implemented a C++ object that solves the problem (using RK4 method), can interpolate these results, can load an

[Scilab-users] In search of more efficient computations

Colleagues, I have already solved my problem and a much simplified example is shown below. I am asking are there ways for more efficient computations of 'Model(time)' when it comes to huge arrays and much more complex model functions. Heinz // Measurement: time, value M=[ 1.0.09 5.0

Re: [Scilab-users] Optimizing parameters of a set of ODE on experimental results solved by C++ code

Hello Marc, Scilab is well fitted for this kind of problem if you use the right tools: we now have the sundials ode solvers and the very robust Ipopt, both working with Scilab or compiled gateways. I have already used these features for big identification problems, so fell free to contact me di