Michael Holzhauser discusses generalizations of well-known network flow and packing problems by additional or modified side constraints. By exploiting the inherent connection between the two problem classes, the author investigates the complexity and approximability of several novel network flow and packing problems and presents combinatorial solution and approximation algorithms.

This book describes the processes and challenges of implementing collaborative practices in School Improvement Networks, focussing specifically on examples from Chile. The Chilean case is significant for other challenging contexts, particularly rural communities, that still seek to implement collaborative inquiry projects.

This book reviews of the development, implementation and practice of the disciplines of school effectiveness and school improvement. Seven main topics are addressed: History of the school effectiveness movement over the last 25 years; Changes in accountability and standards; Leadership in school effectiveness; Changes in teacher education; Impact of Diverse Populations; Education Funding and its Impact; and Best Practice Case Studies. The contributors are active in school effectiveness research worldwide.

In the rapidly advancing world of AI, neural networks emerge as the driving force behind some of the most groundbreaking innovations. Neural Networks is your essential companion in unraveling the complexities and unlocking the potential of these powerful technologies. Begin with a historical journey, understanding how neural networks evolved from simple models to sophisticated systems driving modern AI. Gain clear insights into fundamental concepts, architectures, and the mechanics that make neural networks tick. Delve into deep learning, comparing it with traditional machine learning, and explore its pivotal role in current AI advancements. Whether you are a beginner in AI, a seasoned professional, or simply an AI enthusiast, this book offers a structured and detailed pathway to understanding neural networks. Each chapter is crafted to provide both theoretical knowledge and practical insights, ensuring a well-rounded grasp of the subject matter. Understand the practical aspects of implementing neural networks, from data collection to model optimization. Delve into critical discussions on ethics, bias, and the societal impacts of AI technologies. Neural Networks is more than just a book. It is a gateway to the future, a tool that prepares you to be a part of, and possibly shape, the next generation of AI innovations. Open its pages and embark on a journey that transcends the boundaries of technology, into a world where neural networks redefine what is possible.

The volume comprises the proceedings of the third International Conference on Dynamics in Logistics LDIC 2012. The scope of the conference targeted the identification, analysis, and description of the dynamics of logistic processes and networks. The spectrum ranged from the modeling and planning of processes and innovative methods like autonomous control and knowledge management to the new technologies provided by radio frequency identification, mobile communication, and networking. The growing dynamics in the area of logistics poses completely new challenges: Logistic processes and networks must rapidly and flexibly adapt to continuously changing conditions. LDIC 2012 provided a venue for researchers from academia and industry interested in the technical advances in dynamics in logistics. The conference addressed research in logistics from a wide range of fields, e.g. engineering, computer science and operations research. The volume consists of two invited papers and of 49 contributed papers divided into various subjects including transport logistics, routing in dynamic logistic networks, modeling, simulation, optimization and collaboration in logistics, identification technologies, mathematical modeling in transport and production logistics, information, communication, risk and failure in logistic systems, autonomous control in logistic processes, global supply chains and industrial applications, and the Internet of Things in the context of logistics.

High-performance process improvement takes process improvement to the next ambition level. The kernel of the substance is a generic process improvement process that operates under the strictest time, quality and cost constraints. Thanks to a modular composition and robust methods the scope may range from one single person to networks with hundreds of companies. This is realized via three high-class phases:network and company analysis and synthesis, process analysis and synthesis, the implementation, including process improvement education and training and the practical realization of the improvement potential. The presented methods contain mass customization features and a very advanced logic for optimizing the interaction of people, technology, information and material both in the process improvement process itself and the focus process. The book is based on an extensive R&D effort and thorough practical verifications in more than 75 companies in almost any business and in all sizes.

Handbook of Decision Making includes the wisdom of the long theological and philosophical traditions of human society, as well as a systematic exploration of the implications of contemporary evolutionary theories. Common patterns in decision making styles are identified as well as the common variations that different contexts may generate. The text covers the multiplicity of mainstream decision making styles such as cost-benefit analysis, and linear programming. It also explains alternative and emerging methods such as geographic information systems, Q-methodology, and narrative policy analysis. Practical applications are discussed using decision making practices in budgeting, public administration and governance, drug trafficking, and information systems.

The continuous and very intense development of IT has resulted in the fast development of computer networks. Computer networks, as well as the entire ?eldofIT,aresubjectto constantchangestriggeredbythegeneraltechnological advancement and the in?uence of new IT technologies.These methods and tools of designing and modeling computer networks are becoming more advanced. Above all, the scope of their application is growing thanks to, for example, the results of new research and because of new proposals of application, which not long ago were not even taken into consideration. These new applications stimulate the development of scienti?c research, as the broader application of system solutions based on computer networks results in a wide range of both theoretical and practical problems. This book proves that and the contents of its chapters concern a variety of topics and issues. Generally speaking, the contents can be divided into several subject groups. The ?rst group of contributions concerns new technologies applied in computer networks,particularlythoserelatedto nano,molecularandquantumtechnology.

This study reviews the development effectiveness of operations of the Asian Development Fund (ADF) approved during ADF VIII and ADF IX (2001-2008) and reports on progress in the first 2 years of implementing ADF X (2009-2010). It identifies key issues, and offers recommendations for strengthening ADF operations in ADB's developing member countries.

Improving the Relational Space of Curriculum Realisation outlines an approach to intervention that helps educators solve problematic patterns in their networks, leverage resources better within and across school networks, and embed relational conditions that are conducive to ambitious curriculum goals being realised.