Is there any efficient code for keller box method to solve any two variable problem?. To solve the boundary value problems using the homogeneous form of the keller box method we need to have the matlab code of keller box method
Mar 3, 2017
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A:
Regarding the questions of Keuler Box, I would suggest to use the Global Regression algorithm to solve those problems.
See this example:
AKeulerBox.m
I am working on some improvements, which will be ready soon, so that we can have the official version.
For now I am just showing the general idea.
The method is pretty simple.
Just select the algorithm you want and set your parameters (check to see that you have the correct input data).
Here is the documentation:
Here is the website where you can find more information:
A:
The simplest way to implement the Keller Box Method is to make an optimisation problem with the equations that you want to solve.
The simplest optimisation problem for this would be:
(1) M = α x^2 + β x + γ
(2) F = (δ / (1 - δ x))
Or make α, β, γ and δ all constants
If you add an objective function J = M^2 and an initial guess x_0, you can solve the optimisation problem by minimising J over x.
This has three steps:
1. Create a vector x where x[n] = x_0
2. calculate x by differentiating J and setting it to zero.
3. Repeat for a desired number of steps.
With a little more programming effort (which is not too bad), you could solve multiple equations and multiple variables at once.
To solve for 3 simultaneous equations, you need to have an initial guess x for the parameters, so you need 4 parameters to make the be359ba680
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