/netlib/minpack

• lib: ex (tar)
  for: test programs
• file: readme
  for: overview of minpack
• file: chkder.f
  gams: F3,G4c,K6d
  for: check gradients for consistency with functions
• file: dogleg.f
  for: determine combination of gauss-newton and gradient directions
• file: dpmpar.f
  for: provide double precision machine parameters
• file: enorm.f
  for: calculate euclidean norm of vector
• file: fdjac1.f
  for: calculate difference approximation to jacobian (nonlinear equations)
• file: fdjac2.f
  for: calculate difference approximation to jacobian (least squares)
• file: hybrd.f
  gams: F2
  for: solve systems of nonlinear equations (approximate jacobian)
• file: hybrd1.f
  gams: F2
  for: easy-to-use driver for (minpack/hybrd)
• file: hybrj.f
  gams: F2
  for: solve systems of nonlinear equations (analytic jacobian)
• file: hybrj1.f
  gams: F2
  for: easy-to-use driver for (minpack/hybrj)
• file: lmder.f
  gams: K1b1a2
  for: solve nonlinear least squares problem (analytic jacobian)
• file: lmder1.f
  gams: K1b1a2
  for: easy-to-use driver for (minpack/lmder)
• file: lmdif.f
  gams: K1b1a1
  for: solve nonlinear least squares problem (approximate jacobian)
• file: lmdif1.f
  gams: K1b1a1
  for: easy-to-use driver for (minpack/lmdif)
• file: lmpar.f
  for: determine levenberg-marquardt parameter
• file: lmstr.f
  gams: K1b1a2
  for: solve nonlinear least squares problem (storage conserving)
• file: lmstr1.f
  gams: K1b1a2
  for: easy-to-use driver for (minpack/lmstr)
• file: qform.f
  for: accumulate orthogonal matrix from qr factorization
• file: qrfac.f
  for: compute qr factorization of rectangular matrix
• file: qrsolv.f
  for: complete solution of least squares problem
• file: rwupdt.f
  for: update qr factorization after row addition
• file: r1mpyq.f
  for: apply orthogonal transformations from qr factorization
• file: r1updt.f
  for: update qr factorization after rank-1 addition

• index help

Eric and Jack