Gang Li: 8 books

This book focuses on differential privacy and its application with an emphasis on technical and application aspects. This book also presents the most recent research on differential privacy with a theory perspective. It provides an approachable strategy for researchers and engineers to implement differential...

A comprehensive book focusing on the Force Analogy Method, a novel method for nonlinear dynamic analysis and simulation This book focusses on the Force Analogy Method, a novel method for nonlinear dynamic analysis and simulation. A review of the current nonlinear analysis method for earthquake...

This book presents a systematic treatise on micromechanics and nanomechanics, which encompasses many important research and development areas such as composite materials and homogenizations, mechanics of quantum dots, multiscale analysis and mechanics, defect mechanics of solids including fracture...

This book is a collection of lecture notes for the LIASFMA Hangzhou Autumn School on 'Control and Inverse Problems for Partial Differential Equations' which was held during October 17–22, 2016 at Zhejiang University, Hangzhou, China. This autumn school is one of the activities organized by Sino–French...

China faces many modernization challenges, but perhaps none is more pressing than that posed by climate change. China must find a new economic growth model that is simultaneously environmentally sustainable, can free it from its dependency on fossil fuels, and lift living standards for the majority...

This book introduces readers to the application of orbital data on space objects in the contexts of conjunction assessment and space situation analysis, including theories and methodologies. It addresses the main topics involved in space object conjunction assessment, such as: orbital error analysis...

Ecoambiguity, Community, and Development takes stock of cultural and environmental contexts in many different regions of the world by exploring literature and film. Artists and scholars working in the social ecology, environmental justice, and postcolonial arenas have long recognized that as soon...

Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations....