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Sybolical Index Calculation For Linear Circuits.

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Title: Sybolical Index Calculation For Linear Circuits.
Authors: Clauß, C., Schwarz, P., Straube, B., Vermeiren, W.
Source: Mathematical & Computer Modelling of Dynamical Systems. Jun2001, Vol. 7 Issue 2, p205. 10p.
Subjects: Differential-algebraic equations, Wolfram language (Computer program language)
Abstract: The condition for the DAE index to be higher than one is calculated symbolically.Using Analog Insydes a function for the computer algera system Mathmaticais written. It calculates the index condition if the sparse tableau analysismethod, or the modified nodal analysis method is applied. [ABSTRACT FROM AUTHOR]
Copyright of Mathematical & Computer Modelling of Dynamical Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Sybolical Index Calculation For Linear Circuits.
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  Data: The condition for the DAE index to be higher than one is calculated symbolically.Using Analog Insydes a function for the computer algera system Mathmaticais written. It calculates the index condition if the sparse tableau analysismethod, or the modified nodal analysis method is applied. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Mathematical & Computer Modelling of Dynamical Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jun2001
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