Welcome to our book review site www.go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems
This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems. Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-L...
Ancient Sichuan and the Unification of China
Recent archaeological finds in China have made possible a reconstruction of the ancient history of Sichuan, the country’s most populous province. Excavated artifacts and new recovered texts now supplement traditional textual materials. Together, these data show how Sichuan matured from peripheral obscurity to attain central importance in the Chinese empire during the first millennium B.C.
Directory of Officials and Organizations in China
A personnel compilation of all leading officials in the governmental, economic, military and educational organisations in China. In order to maintain contacts and career plans, this cumulative guide includes major institutional changes.
Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning
This book investigates in detail the deep learning (DL) techniques in electromagnetic (EM) near-field scattering problems, assessing its potential to replace traditional numerical solvers in real-time forecast scenarios. Studies on EM scattering problems have attracted researchers in various fields, such as antenna design, geophysical exploration and remote sensing. Pursuing a holistic perspective, the book introduces the whole workflow in utilizing the DL framework to solve the scattering problems. To achieve precise approximation, medium-scale data sets are sufficient in training the proposed model. As a result, the fully trained framework can realize three orders of magnitude faster than the conventional FDFD solver. It is worth noting that the 2D and 3D scatterers in the scheme can be either lossless medium or metal, allowing the model to be more applicable. This book is intended for graduate students who are interested in deep learning with computational electromagnetics, professional practitioners working on EM scattering, or other corresponding researchers.
History of Chinese Daoism
History of Chinese Daoism- Volume I employs a historical-descriptive method to trace the evolution of Chinese Daoism. This study assumes that Daoism as a religion is atavistic in the Chinese soil; it assimilated the myths and legends of ancient China and has continued to do so in its history. The relationship between Daoism and the state is also explored in depth. This study focuses on how Daoism functioned in the popular level of society, as well as in the elite level. In terms of history, this book begins with the founding of Daoism as a religion in the Han Dynasty-second century, C.E. However, the bulk of the book deals with Daoist activities in the period of Political Disunion (371-581) when China was divided between North and South.
