Pattern recognition subprogram is used to produce table which indicates sections of input data. Program then uses data to write set of Kirchhoff equations algebraically solved by Gaus reduction method

Bavuso, S. J.

English

NASA Technical Reports Server

October 1975	 B75-10217 
NASA TECH BRIEF 
Langley Research Center. 
NASA Tech Briefs announce new technology derived from the U.S. space program. They are issued to encourage 
commercial application. Tech Briefs are available on a subscription basis from the National Technical Information 
Service, Springfield, Virginia 22151. Requests for individual copies or questions relating to the Tech Brief program may 
be directed to the Technology Utilization Office, NASA, Code KT, Washington, D.C. 20546. 
Automated Statistical Analysis Program IASAPJ 
The problem: 
Monte Carlo statistical , analyses of electronic 
circuits can be prohibitively expensive. 
The solution: 
The computer program ASAP (Automated Statisti-
cal Analysis Program) was developed to generate 
algebraic solutions of circuit equations from an 
English-like text. 
How it's done: 
The ASAP program, through a pattern-recognition 
subprogram, scans and analyzes input data, pro-
ducing a table which indicates the sections of these 
data. The program then uses these data to write a set 
of Kirchhoff equations and solves them algebraically 
using the Gauss reduction method. 
ASAP builds a mathematical model of the circuit 
and its nonlinear components, and a subroutine per-
forms the Monte Carlo statistical analysis. The
topological description of the circuit may include 
resistors, voltage sources, current sources, diodes, 
and transistors. The diodes and the transistors are 
represented by voltage/current tables supplied as 
input data. 
Notes: 
1. This program was developed in FORTRAN IV for 
an IBM 7094 computer and then was adapted to 
the CDC series. 
2. Inquiries concerning this program should be 
directed to: 
COSMIC 
112 Barrow Hall 
University of Georgia 
Athens, Georgia 30601 
Reference: LAR-1 1125 
Source: Salvatore J. Bavuso 
(LAR- 11125) 
Categories: 02 (Electronics Systems) 
09 (Mathematics and 
Information Sciences) 
This document was prepared under the sponsorship of the National	 Government assumes any liability resulting from the use of the 
Aeronautics and Space Administration. Neither the United States	 information contained in this document, or warrants that such use 
Government nor any person acting on behalf of the United States 	 will be free from privately owned rights.
https://ntrs.nasa.gov/search.jsp?R=19750000217 2020-03-19T20:30:07+00:00Z



Automated statistical analysis program (ASAP)

Abstract

Similar works

Full text

Available Versions

NASA Technical Reports Server