2011ACM Transactions on Database SystemsRequires access

A relational approach to functional decomposition of logic circuits

Tony T. Lee, Tong Ye

Open publisher page 5 citations

Abstract

Functional decomposition of Boolean functions has a profound influence on all quality aspects of cost-effectively implementing modern digital systems and data-mining. The relational databases are multivalued tables, which include any truth tables of logic functions as special cases. In this article, we propose a relational database approach to the decomposition of logic circuits. The relational algebra consists of a set of well-defined algebraic operations that can be performed on multivalued tables. Our approach shows that the functional decomposition of logic circuits is similar to the normalization of relational databases; they are governed by the same concepts of functional dependency (FD) and multivalued dependency (MVD). The completeness of relational algebra demonstrated by our approach to functional decomposition reveals that the relational database is a fundamental computation model, the same as the Boolean logic circuit.

About this research paper

What this paper is about

Functional decomposition of Boolean functions has a profound influence on all quality aspects of cost-effectively implementing modern digital systems and data-mining. The relational databases are multivalued tables, which include any truth tables of logic functions as special cases. In this article, we propose a relational database approach to the decomposition of logic circuits. The relational algebra consists of a set of well-defined algebraic operations that can be performed on multivalued tables. Our approach shows that the functional decomposition of logic circuits is similar to the normalization of relational databases; they are governed by the same concepts of functional dependency (FD) and multivalued dependency (MVD). The completeness of relational algebra demonstrated by our approach to functional decomposition reveals that the relational database is a fundamental computation model, the same as the Boolean logic circuit.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Functional decomposition of Boolean functions has a profound influence on all quality aspects of cost-effectively implementing modern digital systems and data-mining. The relational databases are multivalued tables, which include any truth tables of logic functions as special cases. In this article, we propose a relational database approach to the decomposition of logic circuits. The relational algebra consists of a set of well-defined algebraic operations that can be performed on multivalued tables. Our approach shows that the functional decomposition of logic circuits is similar to the normalization of relational databases; they are governed by the same concepts of functional dependency (FD) and multivalued dependency (MVD). The completeness of relational algebra demonstrated by our approach to functional decomposition reveals that the relational database is a fundamental computation model, the same as the Boolean logic circuit.

Key concepts: Functional dependency, Relational algebra, Computer science, Relational model, Relational database, Relational calculus, Theoretical computer science, Conjunctive query

Related papers

Back to paper searchBrowse research topicsOriginal source
A relational approach to functional decomposition of logic circuits — Research Paper | ScholarLens