Difference between revisions of "Algorithm design"

Revision as of 09:01, 30 August 2016

Algorithm design is a specific method for creating algorithms.

Description

Applied algorithm design is algorithm engineering.

Algorithm design is identified and incorporated into many solution theories of operation research, such as dynamic programming and divide-and-conquer.

Techniques for designing and implementing algorithm designs include:

• Algorithm design patterns
  • Template method pattern
  • Decorator pattern
• Data structures, and name and sort lists.

Some current day uses of algorithm design can be found in internet retrieval processes of web crawling, packet routing and caching.

Mainframe programming languages such as ALGOL (for Algorithmic language), FORTRAN, COBOL, PL/I, SAIL, and SNOBOL are computing tools to implement an "algorithm design"... but, an "algorithm design" (a/d) is not a language.

An a/d can be a hand written process, e.g. set of equations, a series of mechanical processes done by hand, an analog piece of equipment, or a digital process and/or processor.

One of the most important aspects of algorithm design is creating an algorithm that has an efficient run time, also known as its big Oh.

Steps in development of Algorithms

• Problem definition
• Development of a model
• Specification of Algorithm
• Designing an Algorithm
• Checking the correctness of Algorithm
• Analysis of Algorithm
• Implementation of Algorithm
• Program testing
• Documentation Preparation

See also

General

• Algorithm
• Algorithmic game theory

= Common design paradigms

• Back Tracking
• Brute Force
• Divide and conquer
• Dynamic programming
• Greedy algorithm

External links

• Algorithm design @ Wikipedia