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Numerical Recipes in Python
Louise Reader
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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.
Demonstrates circuit simulation algorithms through actual working code, enabling readers to build an intuitive understanding of what are the strengths and weaknesses with various methods
Provides details of all common, modern circuit simulation methods in one source
Provides Python code for simulations via download
Includes transistor numerical modeling techniques, based on simplified transistor physics
Provides detailed mathematics and ample references in appendices
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