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Trends in Supply Chain Design and Management
This edited book describes new trends in supply chain design and management with an emphasis on technologies and methodologies. It contains guidelines detailing the real-world applications of these technologies and methodologies. This book is of interest to researchers and practitioners and can also be used as a reference handbook by lecturers and postgraduate students in this field.
Trends in Supply Chain Design and Management
This edited book describes new trends in supply chain design and management with an emphasis on technologies and methodologies. It contains guidelines detailing the real-world applications of these technologies and methodologies. This book is of interest to researchers and practitioners and can also be used as a reference handbook by lecturers and postgraduate students in this field.
Mobile Medien - Mobiles Leben
Mobile Medien verändern unser Leben grundlegend - sie lassen uns soziale Beziehungen anders erleben oder Orte neu wahrnehmen. Sie transformieren gleichzeitig die Rhythmen und Rituale unseres zunehmend mediatisierten Alltags. Die ubiquitäre Nutzung von mobilen Medien birgt dabei sowohl erhebliche infrastrukturelle, soziale und wirtschaftliche Chancen als auch vielfältige Risiken. Vertreterinnen und Vertreter der Geographie, der Informatik, der Medienwissenschaft und der Soziologie bieten in diesem Band einen Blick darauf, wie mobiles Leben transdisziplinär perspektiviert werden kann.
Africa / The Americas / Asia and Oceania
Africa / The Americas / Asia and Oceania.
Tensor Network Contractions
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful ...
