10 Best Books on Dynamic Networks Systems and Mechanism Design

“Foundations of Network Optimization and Games (Complex Networks and Dynamic Systems)” Book Review: This book is for students studying computer science. It starts with a basic introduction about the topic. It also explains the elements of nonlinear programming and graph theory. There is information on how to program with network structure, including near-network and large-scale programs. The book provides details about normative network models and their solution, as well as Nash games. Readers can learn about network traffic assignment and spatial price equilibrium on networks. Lastly, the book explains networks, Stackelberg games, and mathematical programs with equilibrium constraints in a detailed manner.

“Monitoring with Graphite: Tracking Dynamic Host and Application Metrics at Scale” Book Review: This book is for students who are studying computer science. It starts with an introduction to monitoring and trending concepts and terms. The book then explains the different components of graphite, including their features and functions. It also covers how to create line charts. Additionally, the book discusses native graphite dashboards and some popular third-party external dashboards. It also provides information on art scaling and how to troubleshoot high performance graphite clusters.

“Deterministic Kinetics in Chemistry and Systems Biology: The book is aimed at students with a background in computer science. It provides detailed information about rates and rate equations, as well as methods for solving them. The book also covers the concept of inevitable approximations and includes information on parameter values. Additionally, it highlights common pitfalls in a detailed manner.

“Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook (Advanced Textbooks in Control and Signal Processing)” Book Review: This book is designed for students from computer science backgrounds. Introduction about the basic concepts is given in the beginning of the book. System identification with neural networks is explained in the book. This book also contains details about control with neural networks. Case studies are also explained in this book in detailed manner.

“Neural Network Engineering in Dynamic Control Systems (Advances in Industrial Control)” Book Review: This book is written for students with a background in computer science. It begins by explaining neural approximation and dynamic systems in neural networks. The book also covers adaptive neurocontrol of a certain class of MIMO and local model structure for nonlinear modeling. Additionally, the book includes algorithms for empirical modeling using spline functions, semi-empirical modeling, and details on interpolating memory. The construction and design of parsimonious neuro fuzzy systems are discussed, as well as fast gradient-based off-line training of multilayer perceptions. The book also covers Kohonen network details, including analysis and classification of energy requirement situations using Kohonen. Lastly, the book explains a radial basis function network model and hierarchical competitive net architecture.

“Advances in Dynamic Network Modeling in Complex Transportation Systems (Complex Networks and Dynamic Systems)” Book Review: This book is intended for students who have a background in computer science. It begins with an explanation of dynamic traffic assignment and the max-pressure controller for arbitrary networks. The book also covers meter controlling strategies and methods for solving integrated corridor control problems. There is an analysis of arterial travel times using a multi-buffer model and cell-based dynamic equilibrium models. The book includes information about the impacts on travel behavior and network performance. Furthermore, it contains details about modeling within-day activity and dynamic navigation in a direction-dependent environment. It provides an approach to assess the impact of dynamic congestion in vehicles in detail. Finally, it covers hybrid tree-based quantile regression in a detailed manner.

“Intentional Risk Management through Complex Networks Analysis (SpringerBriefs in Optimization)” Book Review: This book is for computer science students. It starts by explaining intentional risk and cyber security. It also explains complex networks and graphs with mathematical foundations. The book details random walkers as well. The book explains the role of accessibility in computing static and dynamic risk. It also explains how to implement the model for computing intentional risk in a static and dynamic manner.

“Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications” Book Review: This book is for computer science students. It talks about mobile technologies and how to measure their performance. It also covers network planning and design, rate adaptation algorithms, and simulation techniques. The book explains wireless cognitive network technologies and protocols, and how to study web performance and computer network performance. The book discusses the impact of different user workloads on web performance, and has a section on traffic simulation and performance evaluation. The book also covers network-on-chip architecture, Markov chain models and applications, and simulation methodologies for computer networks and systems. The book also talks about next generation wireless networks and multimedia transmission, and has a section on modeling and simulation for system security and security analysis of computer networks.

“Microgrid Dynamics and Control” Book Review: This book is for computer science students. It talks about renewable energy sources that are connected to a grid. It also explains how microgrids work and how they are controlled. The book goes into detail about how microgrids are modeled and how they are controlled in emergencies. It also talks about how to manage energy in microgrids.