Xiaofeng Xu

Jun Wu

Wen Zhang

Tatsushi Nishi 

Ernesto D. R. Santibanez Gonzalez

The nexus of Energy, Economy, and Environment (3E) systems is of great importance in the global development scenario. In the past decades, the problems related to 3E have been studied and evaluated by numerous researchers and practitioners. The endorsements of the world of the 2030 Agenda for Sustainable Development Goals proposed by the United Nations Development Organization indicated that the triple helix is more present today than ever before. Ensuring affordable and clean energy is the seventh goal of the 2030 Agenda for Sustainable Development, in which environmental metrics (such as carbon dioxide emissions and use of water resources) are important drivers. The evolution of the objectives in the SDGs during past decades promotes global members to adopt a holistic and integrated vision while figuring out how to improve and stabilize the economic situation under the restrictions of the natural environment and exhaustible resources.

New Trends in Energy-Economy-Environment System

Xiang Li

These conference proceedings focus on the topics of data-driven decision-making, stochastic decision-making, fuzzy decision-making and their applications in real-life problems. Beijing University of Chemical Technology organized IFDS2016, the 4th International Forum on Decision Sciences, with the theme “Data-Driven Decision-Making.” The proceedings collect 84 selected papers presenting cutting-edge modeling and solution methods and include numerous practical case studies, making it a valuable resource for students, researchers and practitioners working in the fields of decision science, operations research, management science and engineering.

Proceedings of the Fourth International Forum on Decision Sciences

The proceedings volume consists of academic papers on decision-making under uncertainty, smart decision, stochastic optimization, management simulation and its applications. It presents some compelling and valuable results on the cutting-edge modeling methods and the practical case studies in the operations management process for power, transportation, and logistics companies.

Proceedings of the Fifth International Forum on Decision Sciences

Damian Rouson

Jim Xia

This book concerns software design. Although many current discussions of scientific programming focus on scalable performance, this book focuses on scalable design. The authors analyze how the structure of a package determines its developmental complexity according to such measures as bug search times and documentation information content. The work presents arguments for why these issues impact solution cost and time more than does scalable performance. The final chapter explores the question of scalable execution and shows how scalable design relates to scalable execution. The book's focus is on program organization, which has received considerable attention in the broader software engineering community, where graphical description standards for modeling software structure and behavior have been developed by computer scientists. These discussions might be enriched by engineers who write scientific codes. This book aims to bring such scientific programmers into discussion with computer scientists. The authors do so by introducing object-oriented software design patterns in the context of scientific simulation.

Xiaofeng Xu

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