Nonlinear Maximum Norm Data Fitting

Version 2.6 (2013)


NLPINF solves constrained nonlinear data fitting problems in the maximum norm, i.e., nonlinear programs, where the objective function is the maximum of absolute function values. In addition there may be any set of equality or inequality constraints. It is assumed that all individual problem functions are continuously differentiable. The code is particularly useful for solving nonlinear approximation problems with a large number of support values.

Numerical Method

By introducing one additional variable and additional constraints, the problem is transformed into a general smooth nonlinear programming problem which is then solved by the sequential quadratic programming (SQP) code NLPQLP.

Program Organization

NLPINF is a double precision FORTRAN subroutine and parameters are passed through arguments.

Special Features

  • reverse communication
  • nonlinear constraints
  • bounds and linear constraints remain satisfied
  • FORTRAN source code (close to F77, conversion to C by f2c possible)


NLPINF is part of the interactive data fitting system EASY-FIT which contains now 1,300 test examples.