Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Simulation modeling is increasingly integrated into research and policy analysis of complex sociotechnical systems in a variety of domains. Model-based analysis and policy design inform a range of applications in fields from economics to engineering to health care. This book offers a hands-on introduction to key analytical methods for dynamic modeling. Bringing together tools and methodologies from fields as diverse as computational statistics, econometrics, and operations research in a single text, the book can be used for graduate-level courses and as a reference for dynamic modelers who want to expand their methodological toolbox.The focus is on quantitative techniques for use by dynamic modelers during model construction and analysis, and the material presented is accessible to readers with a background in college-level calculus and statistics. Each chapter describes a key method, presenting an introduction that emphasizes the basic intuition behind each method, tutorial style examples, references to key literature, and exercises. The chapter authors are all experts in the tools and methods they present. The book covers estimation of model parameters using quantitative data; understanding the links between model structure and its behavior; and decision support and optimization. An online appendix offers computer code for applications, models, and solutions to exercises.ContributorsWenyi An, Edward G. Anderson Jr., Yaman Barlas, Nishesh Chalise, Robert Eberlein, Hamed Ghoddusi, Winfried Grassmann, Peter S. Hovmand, Mohammad S. Jalali, Nitin Joglekar, David Keith, Juxin Liu, Erling Moxnes, Rogelio Oliva, Nathaniel D. Osgood, Hazhir Rahmandad, Raymond Spiteri, John Sterman, Jeroen Struben, Burcu Tan, Karen Yee, Gonen Ycel.

Simulation methods. --- System analysis.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

elektrotechniek --- radars --- Electrical engineering --- RADAR --- System Analysis

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

An understanding of biological systems at cellular and molecular levels helps researchers to model cellular behavior in different experimental conditions. This, in turn, can lead to insights about the influence of cell culture environment and the effect of knockout gene research when studying mutations that affect specific metabolic pathways. A systems biology approach, therefore, allows researchers to simulate experimental observations in order to predict outcomes at the cellular level. Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism presents the basic concepts required for a systems biology approach towards cellular modeling. The book is intended as a primer for systems biology and biomedical engineering graduates and researchers. The text introduces readers to concepts related to cellular metabolism and its regulation, (enzymatic regulation and transcriptional regulation) which are also incorporated into a main metabolic model of a cell. The book also has chapters dedicated to identifying and incorporating steady-state and dynamic characteristics when considering a biological model for a computer simulation. Readers will be able to (1) understand the basis of systems analysis towards creating appropriate biological models and simulations, (2) develop useful kinetic models based on cellular transport phenomena and metabolic regulation, (3) understand how to simulate a cell growth phenotype, and analyze it with experimental data.

Biological models. --- System analysis. --- Systems biology.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"This book deals with a simple sounding question whether a certain amount of gas can be transported by a given pipeline network. While well studied for a single pipeline, this question gets extremely difficult if we consider a meshed nation wide gas transportation network, taking into account all the technical details and discrete decisions, as well as regulations, contracts, and varying demand. This book describes several mathematical models to answer these questions, discusses their merits and disadvantages, explains the necessary technical and regulatory background, and shows how to solve this question using sophisticated mathematical optimization algorithms."--

Gasses --- System analysis --- Mathematical optimization --- Transport properties

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Russell Lincoln Ackoff is a recognized authority in the field of operations research and systems theory. This volume is divided into four major sections. The first deals with Ackoff's intellectual roots in the American pragmatic tradition. The second section demonstrates how systems thinkers have incorporated Ackoff's ideas in their own work. The third section shows the influence of Ackoff's thinking on decision making and problem solving, while the final section offers a reassessment of current approaches to systems planning on the national level. In addition, the editors have provided a general introduction, as well as introductions to each of the five sections. Planning for Human Systems will be of interest to students and scholars of operations research and systems theory.Contributors: Michel Chevalier, C. West Churchman, Thomas A. Cowan, Eric Trist, Ian I. Mitroff, Stafford Beer, and Ignacy Sachs.

Operations research. --- System analysis. --- Human capital --- Planning. --- Business. --- Economics.