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Analog Circuit Simulators for Integrated Circuit Designers [electronic resource] : Numerical Recipes in Python / by Mikael Sahrling.

By: Sahrling, Mikael [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XV, 404 p. 116 illus., 1 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030642068.Subject(s): Electronic circuits | Electronics | Electronic Circuits and Systems | Electronics and Microelectronics, InstrumentationAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.3815 Online resources: Click here to access online
Contents:
Introduction -- Overview of Numerical Methods -- Modeling techniques -- Circuit Simulation – Linear Case -- Circuit Simulation – Nonlinear Case -- Epilogue - Simulators in Practice.
In: Springer Nature eBookSummary: Learn how analog circuit simulators work with these easy to use numerical recipes implemented in the popular Python programming environment. This book covers the fundamental aspects of common simulation analysis techniques and algorithms used in professional simulators today in a pedagogical way through simple examples. The book covers not just linear analyses but also nonlinear ones like steady state simulations. It is rich with examples and exercises and many figures to help illustrate the points. For the interested reader, the fundamental mathematical theorems governing the simulation implementations are covered in the appendices. .
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Introduction -- Overview of Numerical Methods -- Modeling techniques -- Circuit Simulation – Linear Case -- Circuit Simulation – Nonlinear Case -- Epilogue - Simulators in Practice.

Learn how analog circuit simulators work with these easy to use numerical recipes implemented in the popular Python programming environment. This book covers the fundamental aspects of common simulation analysis techniques and algorithms used in professional simulators today in a pedagogical way through simple examples. The book covers not just linear analyses but also nonlinear ones like steady state simulations. It is rich with examples and exercises and many figures to help illustrate the points. For the interested reader, the fundamental mathematical theorems governing the simulation implementations are covered in the appendices. .

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