Trignometric Sums And Their Applications

The rheological properties of magnetorheological (MR) materials, such as their viscosity and dynamic modulus, can be tuned or controlled by changing the intensity of the magnetic field using appropriate control schemes. Thanks to their robustness, performance and smart properties, numerous studies have been undertaken on the development of new MR materials, and microscopic and macroscopic modelling approaches.

The rheological properties of magnetorheological (MR) materials, such as their viscosity and dynamic modulus, can be tuned or controlled by changing the intensity of the magnetic field using appropriate control schemes. Thanks to their robustness, performance and smart properties, numerous studies have been undertaken on the development of new MR materials, and microscopic and macroscopic modelling approaches.

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.