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Electromagnetic Simulation Using the FDTD Method with Python
Provides an introduction to the Finite Difference Time Domain method and shows how Python code can be used to implement various simulations This book allows engineering students and practicing engineers to learn the finite-difference time-domain (FDTD) method and properly apply it toward their electromagnetic simulation projects. Each chapter contains a concise explanation of an essential concept and instruction on its implementation into computer code. Included projects increase in complexity, ranging from simulations in free space to propagation in dispersive media. This third edition utilizes the Python programming language, which is becoming the preferred computer language for the engine...
Electromagnetic Simulation Using the FDTD Method
A straightforward, easy-to-read introduction to the finite-difference time-domain (FDTD) method Finite-difference time-domain (FDTD) is one of the primary computational electrodynamics modeling techniques available. Since it is a time-domain method, FDTD solutions can cover a wide frequency range with a single simulation run and treat nonlinear material properties in a natural way. Written in a tutorial fashion, starting with the simplest programs and guiding the reader up from one-dimensional to the more complex, three-dimensional programs, this book provides a simple, yet comprehensive introduction to the most widely used method for electromagnetic simulation. This fully updated edition pr...
Electromagnetic and Photonic Simulation for the Beginner: Finite-Difference Frequency-Domain in MATLAB®
This book teaches the finite-difference frequency-domain (FDFD) method from the simplest concepts to advanced three-dimensional simulations. It uses plain language and high-quality graphics to help the complete beginner grasp all the concepts quickly and visually. This single resource includes everything needed to simulate a wide variety of different electromagnetic and photonic devices. The book is filled with helpful guidance and computational wisdom that will help the reader easily simulate their own devices and more easily learn and implement other methods in computational electromagnetics. Special techniques in MATLAB® are presented that will allow the reader to write their own FDFD pr...
Numerical Electromagnetics
Beginning with the development of finite difference equations, and leading to the complete FDTD algorithm, this is a coherent introduction to the FDTD method (the method of choice for modeling Maxwell's equations). It provides students and professional engineers with everything they need to know to begin writing FDTD simulations from scratch and to develop a thorough understanding of the inner workings of commercial FDTD software. Stability, numerical dispersion, sources and boundary conditions are all discussed in detail, as are dispersive and anisotropic materials. A comparative introduction of the finite volume and finite element methods is also provided. All concepts are introduced from first principles, so no prior modeling experience is required, and they are made easier to understand through numerous illustrative examples and the inclusion of both intuitive explanations and mathematical derivations.
Hybrid Imaging and Visualization
The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks generalized by up-to-date points of view. Associated algorithms are deposited on iCloud.
Comparing Canada
Debating how Canada compares, both regionally and in relation to other countries, is a national pastime. This book examines how political scientists apply diverse comparative strategies to better understand Canadian political life. Using a variety of methods, the contributors use comparison to examine topics as diverse as Indigenous rights, Canadian voting behaviour, activist movements, climate policy, and immigrant retention. While the theoretical perspectives and kinds of questions asked vary greatly, as a whole they demonstrate how the “art of comparing” is an important strategy for understanding Canadian identity politics, political mobilization, political institutions, and public policy. Ultimately, this book establishes how adopting a more systematic comparative outlook is essential – not only to revitalize the study of Canadian politics but also to achieve a more nuanced understanding of Canada as a whole.
Shift Ed
Futurist David Houle and educational strategist Jeff Cobb assert that we already have the information and capabilities to make the necessary changes, and challenges us to take action now.
A Handbook of Reflective and Experiential Learning
This handbook acts as an essential guide to understanding and using reflective and experiential learning - whether it be for personal or professional development, or as a tool for learning. It takes a fresh look at experiential and reflective learning, locating them within an overall theoretical framework for learning and exploring the relationships between different approaches. As well as the theory, the book provides practical ideas for applying the models of learning, with tools, activities and photocopiable resources which can be incorporated directly into classroom practice. This book is essential reading to guide any teacher, lecturer or trainer wanting to improve teaching and learning.
Advanced Modeling in Computational Electromagnetic Compatibility
This text combines the fundamentals of electromagnetics with numerical modeling to tackle a broad range of current electromagnetic compatibility (EMC) problems, including problems with lightning, transmission lines, and grounding systems. It sets forth a solid foundation in the basics before advancing to specialized topics, and allows readers to develop their own EMC computational models for applications in both research and industry.
