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NLSSOL

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Solves dense linear and nonlinear least squares problems, with linear and nonlinear constraints.

Main features

  • NLSSOL is built on top of the nonlinear solver NPSOL.
     
  • More information available about NPSOL at the Stanford Systems Optimization Laboratory (SOL) pages.
     
  • See the User's Guide for NPSOL 5.0: A Fortran Package for Nonlinear Programming (1986, Revised July 30, 1998).
     
  • NLSSOL has two extra parameters compared to NPSOL. See the help for nlssolTL.m. The parameters are JTJ Initial Hessian and Reset Frequency. If JTJ Initial Hessian is set true, then the Jacobian matrix is used to set the initial Hessian matrix in the Quasi-Newton approximation. Otherwise the initial Hessian is set to the identity matrix. The Reset Frequency determines how often the algorithm should reset the Hessian to the value determined by the JTJ Initial Hessian setting. The default value of the Reset Frequency is two, which means that the Hessian is reset rather often.

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