Spatial Statistics and Analysis: Techniques and Applications is an essential resource for anyone interested in the theory and application of spatial statistics.
Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing, and controlling mobility patterns-a key aspect of transportation modeling.
This book offers a comprehensive exploration of the dynamic relationship between environmental factors and public health, providing both theoretical insights and practical solutions.
This book offers a comprehensive exploration of the dynamic relationship between environmental factors and public health, providing both theoretical insights and practical solutions.
This book introduces new indices catered for elevated air movement for systematic ventilation performance evaluations regarding thermal comfort, indoor air quality, and energy efficiency.
This book introduces new indices catered for elevated air movement for systematic ventilation performance evaluations regarding thermal comfort, indoor air quality, and energy efficiency.
The Proceedings of the Sixth International Conference on Emerging Trends in Mathematical Sciences & Computing (IEMSC-25) highlight a rich collection of contemporary research contributions from distinguished academicians, researchers, and industry experts worldwide.
Based on the "e;Seventh International Conference on Dynamics of Disasters"e; (Vienna, Austria, July 2024), this book offers a comprehensive exploration of the dynamics of disasters, focusing on the emerging theme of hybrid threats.
This book explores the world of purchasing and supply chain management through a carefully curated collection of industry-focused teaching case studies.
This book explores the world of purchasing and supply chain management through a carefully curated collection of industry-focused teaching case studies.
This contributed volume offers background and cases for addressing the pressing issues of water management, public health, and sustainable development in an era where climate change, population growth, and urbanization are placing unprecedented pressure on water resources.
This contributed volume offers background and cases for addressing the pressing issues of water management, public health, and sustainable development in an era where climate change, population growth, and urbanization are placing unprecedented pressure on water resources.
Based on the "e;Seventh International Conference on Dynamics of Disasters"e; (Vienna, Austria, July 2024), this book offers a comprehensive exploration of the dynamics of disasters, focusing on the emerging theme of hybrid threats.
This book explores the latest progress in intelligent systems designed to assist decision-making, revealing how advanced computers contribute to informed judgments.
This book explores the latest progress in intelligent systems designed to assist decision-making, revealing how advanced computers contribute to informed judgments.
This work was completed during my tenure as a scientific assistant and d- toral student at the Institute for Operations Research at the University of St.
This volume collects the expanded notes of four series of lectures given on the occasion of the CIME course on Nonlinear Optimization held in Cetraro, Italy, from July 1 to 7, 2007.
Managing uncertainty in new product development projects for improved valuation and decision making is one of the most complex and challenging problems in operations management.
Queueing networks constitute a large family of stochastic models, involving jobs that enter a network, compete for service, and eventually leave the network upon completion of service.
This proceedings volume consists of papers presented at the Sixth International Workshop on Computer-Aided Scheduling of Public Transpon, which was held at the Fund~lio Calouste Gulbenkian in Lisbon from July 6th to 9th, 1993.
It was generally believed that the study of probability theory was started by Pascal and Fermat in 1654 when they succeeded in deriving the exact probabilitiesforcertaingamblingproblem.
As a branch of mathematics that studies the behavior of random, fuzzy and rough events, uncertainty theory is the generic name of probability theory, credibility theory, and trust theory.
The Proceedings of the Sixth International Conference on Emerging Trends in Mathematical Sciences & Computing (IEMSC-25) highlight a rich collection of contemporary research contributions from distinguished academicians, researchers, and industry experts worldwide.
This book offers a comprehensive, mathematically grounded introduction to multi-attribute decision-making (MADM) for undergraduate, graduate, and doctoral students, as well as researchers in engineering, management, economics, and biology.
This book offers a comprehensive, mathematically grounded introduction to multi-attribute decision-making (MADM) for undergraduate, graduate, and doctoral students, as well as researchers in engineering, management, economics, and biology.
Graph algorithms are easy to visualize and indeed there already exists a variety of packages to animate the dynamics when solving problems from graph theory.
A production economist focuses on assessment, and will use an aggregate description of technology to answer such questions as: How does the firm compare to its competitors?
Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way.
Decision makers in many areas, from industry to engineering and the social sector, face an increasing need to consider multiple, conflicting objectives in their decision processes.
Studierende in den Fachern Wirtschaftswissenschaften, Technik, Naturwissenschaften und Informatik benotigen zum Studienbeginn bestimmte Grundkenntnisse in der Mathematik, die im vorliegenden Buch sehr ausfuhrlich dargestellt werden.
This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs.