Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Sign In to gain access to subscriptions and/or personal tools.
SIMULATION
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Roach, J. R.
Right arrow Articles by Chow, E.-P.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

An interactive digital simulation and optimization package: FORTRAN programs MINISIM and OPTSIM

John R. Roach

Chemical Engineering Department University of Adelaide Adelaide, South Australia 5000

Ee-Pan Chow

Chemical Engineering Department University of Adelaide Adelaide, South Australia 5000

MINISIM is a general-purpose interactive digital simulation program which is written in FORTRAN and is suitable for both interactive and batch use. The program currently utilizes a fixed-step 4th-order Runge-Kutta integration algorithm. The program has proved to be suitable as a replacement for an analog computer in both teaching and research activities. OPTSIM is an extension of MINISIM that permits optimizing simulated systems automatically while making use of the MINISIM integration routines. The same problem-description subroutine (SUBROUTINE EQUATN) may be used with either MINISIM or OPTSIM.

Detailed examples are given of the simulation and optimization of a control system and also of the solution of a two-point boundary-value optimization problem.

SIMULATION, Vol. 25, No. 4, 115-120 (1975)
DOI: 10.1177/003754977502500405
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 SIMULATIONHome page
M. Metzger
Comparison of the RK4M4, RK4LIN and RK4M1 methods for systems with time-delays
SIMULATION, May 1, 1989; 52(5): 189 - 193.
[Abstract] [PDF]

Home page
 SIMULATIONHome page
L. G. Birta
A parameter optimization module for CSSL-based simulation software
SIMULATION, April 1, 1977; 28(4): 113 - 121.
[Abstract] [PDF]