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

By: Sahrling, Mikael, (1964-), autor
Material type: materialTypeLabelE-bookSeries: (Engineering (SpringerNature-11647)); (Engineering (R0) (SpringerNature-43712)).Publisher: Cham : Springer International Publishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XV, 404 páginas) : 116 ilustraciones, 1 ilustraciones a color.ISBN: 9783030642068.Subject: Microelectrónica | Circuitos integradosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Overview of Numerical Methods -- Modeling techniques -- Circuit Simulation - Linear Case -- Circuit Simulation - Nonlinear Case -- Epilogue - Simulators in Practice.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK7874 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.11012071
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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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