Optical Electromagnetic Field Analysis Using Python
Download Optical Electromagnetic Field Analysis Using Python PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Optical Electromagnetic Field Analysis Using Python book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Optical Electromagnetic Field Analysis Using Python
In this book, Kajikawa and Okamoto explain how to use Python to calculate and visualize the optical response of microscopic structures and systems. Throughout, the authors provide varied examples to instruct readers in the application of theoretical knowledge to real-world scenarios. Electromagnetic field analysis is often necessary to determine the optical response of materials with microscopic structures. Although the principles are widely described, the manual calculation and visualization of results are not and remain challenging. Python is the ideal language to use for this as it has a large functional library for visualizing analysis results and is suitable for programming beginners to use at low cost, so it has many advantages over languages like Fortran, BASIC, and C. Here, the authors introduce the application of Python to various electromagnetic field analysis scenarios in the field of nanophotonics. The first half of the book describes cases in which there is an analytical solution for the structure and addresses scenarios such as scattering and absorption in spherical and cylindrical structures and complex structures such as rotating ellipsoids, sphere-aggregated structures, and hemispherical structures. The second half describes methods including rigorous coupling wave analysis, finite-difference time-domain method and discrete dipole approximation for numerically solving varied structures. This book enables readers to conduct their own electromagnetic field analysis quickly, cheaply, and accurately without in-depth study of other complicated and time-consuming approaches or programs. This book is invaluable for researchers and postgraduate students working in the fields of optics and photonics. Additionally, the contents are useful not only for those conducting electromagnetic field analysis but also those simulating physical, chemical, and biological phenomena.
Dynamical Systems with Applications using Python
This textbook provides a broad introduction to continuous and discrete dynamical systems. With its hands-on approach, the text leads the reader from basic theory to recently published research material in nonlinear ordinary differential equations, nonlinear optics, multifractals, neural networks, and binary oscillator computing. Dynamical Systems with Applications Using Python takes advantage of Python’s extensive visualization, simulation, and algorithmic tools to study those topics in nonlinear dynamical systems through numerical algorithms and generated diagrams. After a tutorial introduction to Python, the first part of the book deals with continuous systems using differential equations, including both ordinary and delay differential equations. The second part of the book deals with discrete dynamical systems and progresses to the study of both continuous and discrete systems in contexts like chaos control and synchronization, neural networks, and binary oscillator computing. These later sections are useful reference material for undergraduate student projects. The book is rounded off with example coursework to challenge students’ programming abilities and Python-based exam questions. This book will appeal to advanced undergraduate and graduate students, applied mathematicians, engineers, and researchers in a range of disciplines, such as biology, chemistry, computing, economics, and physics. Since it provides a survey of dynamical systems, a familiarity with linear algebra, real and complex analysis, calculus, and ordinary differential equations is necessary, and knowledge of a programming language like C or Java is beneficial but not essential.
Mechanics Using Python
"Mechanics Using Python: An Introductory Guide" offers a dynamic and immersive exploration of classical mechanics, tailored specifically for undergraduate students. We bridge fundamental physics principles with the practical application of Python programming, providing a unique learning experience for those eager to understand mechanics through computational methods. Our book begins by establishing a robust foundation in kinematics and dynamics, gradually progressing to advanced topics such as oscillations and celestial mechanics. What sets this text apart is our commitment to bridging the gap between theoretical understanding and hands-on implementation, enabling readers to navigate the complexities of classical mechanics using Python. The integration of Python programming brings theory to life, allowing students to simulate and visualize physical phenomena. Through a systematic presentation of concepts, coupled with numerous examples and exercises, learners are not only equipped with a theoretical understanding but also gain proficiency in applying computational solutions to real-world problems. Whether you are a novice embarking on your journey into mechanics or a seasoned student looking to enhance your skills, this book provides a roadmap for both theoretical insight and practical programming application.