Algorithmic Complexity. Volume II.

Abstract

The objective of this study was to conduct applied research directed toward understanding the relationship between the complexity or efficiency of algorithms and the overall quality of computer software. The final report is presented in a two volume series consisting of a total of eight parts. This volume, containing parts 3 through 8 describes the results of several technical investigations which are conducted. Part 3 is a tutorial on computational algebra, illustrating the nature of research in the area of algorithm analysis and computational complexity. Part 4 develops a systematic approach to the analysis of algorithms. Part 5 is an experimental analysis of a fast, new sorting method called DPS (distributive partitioning sorting). Part 6 applies order statistics to investigate the expected quality of several approximation algorithms for the Euclidean traveling salesman problem, known to be NP-complete. Part 7 presents a survey of data base access methods for both univariate and multivariate range queries. Part 8 describes an experimental evaluation of the frame memory model of a data base structure.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADA118814

Entities

People

  • Edmund A. Lamagna
  • Len Bass
  • Lyle A. Anderson
  • Philip J. Janus
  • Ralph E. Bunker

Organizations

  • University of Rhode Island

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Databases
  • Distribution Functions
  • Information Processing
  • Information Science
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Trees (Data Structures)
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Graph Algorithms and Convex Optimization.
  • Operations Research