Lcapy: symbolic linear circuit analysis with Python
Lcapy is an open-source Python package for solving linear circuits symbolically. It uses a superposition of DC analysis, AC (phasor) analysis, transient (Laplace) analysis, and noise analysis. Expressions are evaluated using the computer algebra system SymPy. Lcapy can model circuits comprised of co...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2022-02-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-875.pdf |
| _version_ | 1818298116721344512 |
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| author | Michael Hayes |
| author_facet | Michael Hayes |
| author_sort | Michael Hayes |
| collection | DOAJ |
| description | Lcapy is an open-source Python package for solving linear circuits symbolically. It uses a superposition of DC analysis, AC (phasor) analysis, transient (Laplace) analysis, and noise analysis. Expressions are evaluated using the computer algebra system SymPy. Lcapy can model circuits comprised of combinations of one-port and two-port networks or circuits specified using a netlist with a Spice-like notation. Lcapy can present the system of equations produced from nodal analysis, modified nodal analysis, loop analysis, and state-space analysis. Expressions can be formatted into many representations, parameterized, and transformed to other domains. Dimensional analysis is performed to reduce user errors and to present results with units. Both continuous and discrete signals are supported. Lcapy produces high-quality output. Textbook quality schematics in a number of different formats can be generated from netlists and customized for different conventions. Expressions can be formatted into LaTeX format for inclusion into a document or numerically evaluated and plotted. An overview of the features and capabilities of Lcapy is presented, along with implementation details and performance considerations. |
| first_indexed | 2024-12-13T04:30:13Z |
| format | Article |
| id | doaj.art-1935188eafe24a0eb432dd00e11b4f7d |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-12-13T04:30:13Z |
| publishDate | 2022-02-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-1935188eafe24a0eb432dd00e11b4f7d2022-12-21T23:59:33ZengPeerJ Inc.PeerJ Computer Science2376-59922022-02-018e87510.7717/peerj-cs.875Lcapy: symbolic linear circuit analysis with PythonMichael HayesLcapy is an open-source Python package for solving linear circuits symbolically. It uses a superposition of DC analysis, AC (phasor) analysis, transient (Laplace) analysis, and noise analysis. Expressions are evaluated using the computer algebra system SymPy. Lcapy can model circuits comprised of combinations of one-port and two-port networks or circuits specified using a netlist with a Spice-like notation. Lcapy can present the system of equations produced from nodal analysis, modified nodal analysis, loop analysis, and state-space analysis. Expressions can be formatted into many representations, parameterized, and transformed to other domains. Dimensional analysis is performed to reduce user errors and to present results with units. Both continuous and discrete signals are supported. Lcapy produces high-quality output. Textbook quality schematics in a number of different formats can be generated from netlists and customized for different conventions. Expressions can be formatted into LaTeX format for inclusion into a document or numerically evaluated and plotted. An overview of the features and capabilities of Lcapy is presented, along with implementation details and performance considerations.https://peerj.com/articles/cs-875.pdfLinear circuit analysisSymbolic computationPython |
| spellingShingle | Michael Hayes Lcapy: symbolic linear circuit analysis with Python PeerJ Computer Science Linear circuit analysis Symbolic computation Python |
| title | Lcapy: symbolic linear circuit analysis with Python |
| title_full | Lcapy: symbolic linear circuit analysis with Python |
| title_fullStr | Lcapy: symbolic linear circuit analysis with Python |
| title_full_unstemmed | Lcapy: symbolic linear circuit analysis with Python |
| title_short | Lcapy: symbolic linear circuit analysis with Python |
| title_sort | lcapy symbolic linear circuit analysis with python |
| topic | Linear circuit analysis Symbolic computation Python |
| url | https://peerj.com/articles/cs-875.pdf |
| work_keys_str_mv | AT michaelhayes lcapysymboliclinearcircuitanalysiswithpython |