PADMOS und PADFIT — Automatisches Differenzieren und nichtlineare Optimierung in MS-DOS

  • Michael Greiner
  • Christian Kredler
Conference paper
Part of the Reihe Mikrocomputer-Forum für Bildung und Wissenschaft book series (MIKROCOMPUTER, volume 4)


The MS-DOS program PADMOS solves nonlinear programming problems with up to 40 constraints and at most 15 variables. The menu-oriented user interfaœ with built-in editor enables a convenient input and modification of problems. Gradients (and when needed Hessians) are computed accurately by automatic differentiation. These features make PADMOS a comfortable tool for research applications where the exact model is selected after several changes of the problem functions. As well the program is suited for teaching purposes. Tedious introductions can be skipped because the Turbo-Pascal like environment is usually familiar to students.

For introductory courses in nonlinear optimization there is a simplified tutorial (PADTUT) containing most relevant algorithms from steepest descent and BFGS to Newton’s method. PADMOS itself uses trust region approaches including directions of negative curvature. Nonlinear constraints can be tackled by SQP, augmented Lagrange or Robinson-type methods which simplify considerably in case of linear constraints. The important case of data fitting is supported by a suitable adapted syntax and graphic display of the fitted function versus sampled data points.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Fischer H. (1989): Automatic differentiation of characterizing sequences. J. Comp. and Appl. Math. 28, 181–185.CrossRefGoogle Scholar
  2. 2.
    Greiner M., Kölbl A., Kredler Ch. (1990): User’s guide for PADMOS: Pascal units for optimization and automatic differentiation. Inst. Angew. Math. u. Stat, TU München.Google Scholar
  3. 3.
    Greiner M., Kredler Ch. (1990): PADMOS: Ein Lehr-und Anwender programm für nichtlineare Optimierung in MS-DOS. Proceedings zum 4. CIP-Status Kongreß, Berlin.Google Scholar
  4. 4.
    Hock W. und Schittkowski K. (1981): Test examples for nonlinear programming codes. Lecture Notes in Economics and Mathematical Systems No. 187, Springer, Berlin.Google Scholar
  5. 5.
    Kredler Ch. (1990): PADMOS, ein MS-DOS-Programm für nichtlineare Optimierung mit automatischem Differenzieren. OR-Proceedings 1990, Springer, Berlin.Google Scholar
  6. 6.
    Kredler Ch. (1991): Materialien und Ausbildungsplan für das PADMOS-Praktikum (zu Vorlesungen über Nichtlineare Optimierung).Google Scholar
  7. 7.
    Quick reference guide for PADMOS, PADFIT, PADTUT. Inst Angew. Math. u. Stat, TU München 1991.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Michael Greiner
    • 1
  • Christian Kredler
    • 1
  1. 1.Institut für Angewandte Mathematik und StatistikTU MünchenDeutschland

Personalised recommendations