/netlib/ampl/student/macosx/ppc

The programs in this directory are "student" versions that
restrict problem sizes (to 300 variables and 300 general
constraints) and are intended for noncommercial use.
For serious commercial use, you should (eventually) license
commercial versions, even if your applications never exceed
the limits of the student versions. For simplicity, these
are 32-bit Power PC binaries, which generally also run on
Intel Macs (albeit more slowly than native Intel binaries).
Should feedback suggest it warranted, Intel student binaries
could be made available.

• file: README
• file: ampl.gz
  for: student ampl processor
• file: gjh.gz
  for: "solver" that computes the objective gradient (g), the constraint Jacobian (J), and the Hessian of the Lagrangian (H) at the current point (primal and dual variable values). The solver message shows commands to read these as params and delete the temporary file that conveys them. When multiple objectives are present, the first is used unless the objectives have suffix objweight ==> g is the gradient of the weighted sum of objectives. Source = /netlib/ampl/solvers/examples/gjh.c.
• file: lpsolve.gz
  for: LP/MIP solver based on lp_solve 3.2; see ampl/solvers/lpsolve/README
• file: minos.gz
  for: student MINOS solver
• file: snopt.gz
  for: student SNOPT solver

• index help

Eric and Jack

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