THE SIMSCRIPT II PROGRAMMING LANGUAGE

Abstract

A user's and programmer's manual for SIMSCRIPT II that requires only a basic knowledge of computers and programming language translators (compilers). Sections that are unusually difficult or contain features of limited use are marked with an asterisk. The manual is divided into five chapters, corresponding to five language 'levels.' Level 1 is a teaching language designed to introduce programming concepts to nonprogrammers. Level 2 is a language roughly comparable in power to FORTRAN, but departs from it in specific features. Level 3 is comparable in power to ALGOL or PL/I, but with specific differences, and contains information on the new ALPHA mode for alpha-numeric manipulations, on writing formatted reports, and on internal editing. Level 4 contains the entity-attribute-set features of SIMSCRIPT, which have been up- dated and augmented to provide a more powerful list-processing capability. Level 5, the simulation-oriented part of SIMSCRIPT II, contains statements for time advance, event and activity processing, generation of statistical variates, and accumulation and analysis of simulation-generated data. Two new debugging routines, BEFORE and AFTER, enable the monitoring of six complex processes.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1968
Accession Number
AD0678690

Entities

People

  • H. M. Markowitz
  • P. J. Kiviat
  • R. Villanueva

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Birds
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Simulators
  • Data Processing
  • Data Storage Systems
  • Information Science
  • Language
  • Programming Languages
  • Simulations
  • Statistical Sampling
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Computer Science.
  • Regression Analysis.