Yang Yu

Many machine learning tasks involve solving complex optimization problems, such as working on non-differentiable, non-continuous, and non-unique objective functions; in some cases it can prove difficult to even define an explicit objective function. Evolutionary learning applies evolutionary algorithms to address optimization problems in machine learning, and has yielded encouraging outcomes in many applications. However, due to the heuristic nature of evolutionary optimization, most outcomes to date have been empirical and lack theoretical support. This shortcoming has kept evolutionary learning from being well received in the machine learning community, which favors solid theoretical approaches. Recently there have been considerable efforts to address this issue. This book presents a range of those efforts, divided into four parts. Part I briefly introduces readers to evolutionary learning and provides some preliminaries, while Part II presents general theoretical tools for the analysis of running time and approximation performance in evolutionary algorithms. Based on these general tools, Part III presents a number of theoretical findings on major factors in evolutionary optimization, such as recombination, representation, inaccurate fitness evaluation, and population. In closing, Part IV addresses the development of evolutionary learning algorithms with provable theoretical guarantees for several representative tasks, in which evolutionary learning offers excellent performance.

Lacan and Chan Buddhist Thought provides a close reading of how Lacan mobilizes concepts from Chan Buddhist philosophy, culture, and practice in his later teachings. The book emerged from the three co-authors’ engagement with Lacan’s 1962–1963 Seminar on Anxiety, and the significance of Lacan’s original interpretation of the Buddhist principle that desire is the cause of suffering. The book reads key Lacanian concepts – such as the objet a, jouissance, the real, Nirvana, and the mirror – through ancient Buddhist teachings and koans. With this focused exploration of psychoanalysis and Chan Buddhism, the authors offer a philosophically grounded cross-cultural approach to the theory and practice of psychoanalysis in Asian countries. Lacan and Chan Buddhist Thought will be a rich resource for psychoanalysts, academics, and students interested in Lacan and religion, the intellectual and cultural relationship between Asian and Western thought, and Mahayana Buddhism more generally.

Lacan and Chan Buddhist Thought provides a close reading of how Lacan mobilizes concepts from Chan Buddhist philosophy, culture, and practice in his later teachings. The book emerged from the three co-authors’ engagement with Lacan’s 1962–1963 Seminar on Anxiety, and the significance of Lacan’s original interpretation of the Buddhist principle that desire is the cause of suffering. The book reads key Lacanian concepts – such as the objet a, jouissance, the real, Nirvana, and the mirror – through ancient Buddhist teachings and koans. With this focused exploration of psychoanalysis and Chan Buddhism, the authors offer a philosophically grounded cross-cultural approach to the theory and practice of psychoanalysis in Asian countries. Lacan and Chan Buddhist Thought will be a rich resource for psychoanalysts, academics, and students interested in Lacan and religion, the intellectual and cultural relationship between Asian and Western thought, and Mahayana Buddhism more generally.

This book describes how local consumption, particularly in urban areas, is increasingly met by global supply chains. These supply chains often extend over large geographical distances and have greater global environmental impacts, contributing to pollution, climate change, water scarcity, and deforestation.As consumption is increasingly met by globalized supply chains, causing social, economic, and environmental impacts elsewhere, consumption decisions can unknowingly contribute and reinforce global inequality and exploitation. To account for the impacts of consumption and distribution of wealth we need to analyze global supply and value chains. In this volume, the authors provide an overview of key methods of analysis, including Multi-Regional Input-Output analysis and Life Cycle Assessment. Subsequent chapters connect local consumption to the global consequences of different environmental issues, such as water and land use and stress, greenhouse gases emissions, and other forms of air pollution. Each issue is addressed in an individual chapter, including case studies from China, U.S. and UK.The book will be key reading for students taking courses in environmental sciences, sustainability sciences, ecological economies, and geography.

This book describes how local consumption, particularly in urban areas, is increasingly met by global supply chains. These supply chains often extend over large geographical distances and have greater global environmental impacts, contributing to pollution, climate change, water scarcity, and deforestation.As consumption is increasingly met by globalized supply chains, causing social, economic, and environmental impacts elsewhere, consumption decisions can unknowingly contribute and reinforce global inequality and exploitation. To account for the impacts of consumption and distribution of wealth we need to analyze global supply and value chains. In this volume, the authors provide an overview of key methods of analysis, including Multi-Regional Input-Output analysis and Life Cycle Assessment. Subsequent chapters connect local consumption to the global consequences of different environmental issues, such as water and land use and stress, greenhouse gases emissions, and other forms of air pollution. Each issue is addressed in an individual chapter, including case studies from China, U.S. and UK.The book will be key reading for students taking courses in environmental sciences, sustainability sciences, ecological economies, and geography.

This prizewinning PhD thesis presents a general discussion of the orbital motion close to solar system small bodies (SSSBs), which induce non-central asymmetric gravitational fields in their neighborhoods. It introduces the methods of qualitative theory in nonlinear dynamics to the study of local/global behaviors around SSSBs. Detailed mechanical models are employed throughout this dissertation, and specific numeric techniques are developed to compensate for the difficulties of directly analyzing. Applying this method, several target systems, like asteroid 216 Kleopatra, are explored in great detail, and the results prove to be both revealing and pervasive for a large group of SSSBs.

This prizewinning PhD thesis presents a general discussion of the orbital motion close to solar system small bodies (SSSBs), which induce non-central asymmetric gravitational fields in their neighborhoods. It introduces the methods of qualitative theory in nonlinear dynamics to the study of local/global behaviors around SSSBs. Detailed mechanical models are employed throughout this dissertation, and specific numeric techniques are developed to compensate for the difficulties of directly analyzing. Applying this method, several target systems, like asteroid 216 Kleopatra, are explored in great detail, and the results prove to be both revealing and pervasive for a large group of SSSBs.

This book presents state-of-the-art cross-layer optimization techniques for energy-efficient information processing and routing in wireless sensor networks. Besides providing a survey on this important research area, three specific topics are discussed in detail — information processing in a collocated cluster, information transport over a tree substrate, and information routing for computationally intensive applications. The book covers several important system knobs for cross-layer optimization, including voltage scaling, rate adaptation, and tunable compression. By exploring tradeoffs of energy versus latency and computation versus communication using these knobs, significant energy conservation is achieved.