I don't really understand using the function lsqrsolve, which as I believe minimizes the sum of the squares of nonlinear functions with the Levenberg Marquardt algorithm. Can someone give me a link for a good explained tutorial and perhaps some examples?
More information on this topic is obtainable by typing 'help lsqrsolve' in the Scilab console. It also includes several demo examples to help you understand the function's usage.
You may even refer to this document: http://www.openeering.com/sites/default/files/Nonlinear_Systems_Scilab.pdf
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