2003Unpublished venueRequires access

Symbolic analysis methods and applications-an overview

Georges Gielen

Open publisher page 5 citations

Abstract

The state of the art in symbolic analysis is outlined. Symbolic analysis is defined as a technique providing closed-form analytic information complementary to numerical simulation results. The different application areas of symbolic analysis in the analog design world are then discussed. Symbolic analysis is mainly used as a means to obtain insight into circuit behavior, to generate analytic models for automated circuit sizing and in applications requiring repetitive evaluation of characteristics. The present capabilities and limitations of symbolic analysis, both in functionality and efficiency, are then discussed. The major analysis methods are presented, and algorithmic details are provided for symbolic approximation, hierarchical decomposition, and symbolic distortion analysis. Current symbolic simulators are compared, and directions for future research are pointed out.>

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What this paper is about

The state of the art in symbolic analysis is outlined. Symbolic analysis is defined as a technique providing closed-form analytic information complementary to numerical simulation results. The different application areas of symbolic analysis in the analog design world are then discussed. Symbolic analysis is mainly used as a means to obtain insight into circuit behavior, to generate analytic models for automated circuit sizing and in applications requiring repetitive evaluation of characteristics. The present capabilities and limitations of symbolic analysis, both in functionality and efficiency, are then discussed. The major analysis methods are presented, and algorithmic details are provided for symbolic approximation, hierarchical decomposition, and symbolic distortion analysis. Current symbolic simulators are compared, and directions for future research are pointed out.>

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Available abstract

The state of the art in symbolic analysis is outlined. Symbolic analysis is defined as a technique providing closed-form analytic information complementary to numerical simulation results. The different application areas of symbolic analysis in the analog design world are then discussed. Symbolic analysis is mainly used as a means to obtain insight into circuit behavior, to generate analytic models for automated circuit sizing and in applications requiring repetitive evaluation of characteristics. The present capabilities and limitations of symbolic analysis, both in functionality and efficiency, are then discussed. The major analysis methods are presented, and algorithmic details are provided for symbolic approximation, hierarchical decomposition, and symbolic distortion analysis. Current symbolic simulators are compared, and directions for future research are pointed out.>

Key concepts: Symbolic data analysis, Symbolic trajectory evaluation, Computer science, The Symbolic, Program analysis, Decomposition, Theoretical computer science, Symbolic computation

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