Design And Modeling for Computer Experiments

Design structure matrix (DSM) is a straightforward and flexible modeling technique that can be used for designing, developing, and managing complex systems. DSM offers network modeling tools that repr

Researchers from the US, France, and China discuss recent trends in optics that provide significant challenges and opportunities for applied mathematicians, physicists, and engineers in communications

The numerous examples and exercises drawn from astronomy, geology, genetics, hydrology, neurophysiology and physics, make this an ideal textbook for researchers, neurophysiology and physics, make this

?This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate le

For courses in corporate finance or financial management at the undergraduate and graduate level. Excel Modeling in Corporate Finance approaches building and estimating models with MicrosoftR

This book presents a new approach for the modeling of chemical and interphase mass transfer processes in industrial column apparatuses, using convection-diffusion and average-concentration models.The

XML is rapidly becoming the standard platform for delivering e-Business information and integrating e-Business systems. XML developers desperately need mature software development processes and tools

This book describes a powerful and flexible technique for the modeling of behavior, based on evolutionary principles. The technique employs stochastic dynamic programming and permits the analysis of b

This book is a logical, well-organized guide to various mathematical modeling techniques and applications for evaluating and solving problems in the diverse field of mathematics. A highly-qualified le

Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). Th

Library and information scientists Zumer (U. of Ljubljana, Slovenia), Marcia Lei Zeng, and Athena Salaba (both Kent State U., Ohio) use the Functional Requirements for Subject Authority Data (FRSAD) m

This book and CD-ROM offer a complete simulation system for modeling groundwater flow and transport processes. The companion full-version software (PMWIN) comes with a professional graphical user-inte

This book discusses the problems of complexity in industrial data, including the problems of data sources, causes and types of data uncertainty, and methods of data preparation for further reasoning i

The outline of a ten-lecture course presented at Kent State University in December 1990 that details certain concepts useful for modeling curves and surfaces and the mathematical theories behind them.

This book provides a systematic exposition of a group-based statistical method for analyzing longitudinal data in the social and behavioral sciences and in medicine. The methods can be applied to a wi

This book constitutes the refereed proceedings of the 16th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2015, held in Sao Paulo, Brazil, in July 2015. The 33 r

Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research c

Architect Epstein provides a detailed explanation of the primary elements of building information modeling (BIM), an increasingly popular system for generating and managing information about buildings

The book?gives a comprehensive review of the most advanced multiscale methods for protein structure prediction, computational studies of protein dynamics, folding mechanisms and macromolecular interac

A balanced introduction to the theoretical foundations and real-world applications of mathematical finance The ever-growing use of derivative products makes it essential for financial industry practi

This book presents a unified approach for modeling hydrologic processes distributed in space and time using geographic information systems (GIS). This Third Edition focuses on the principles of implem

A guide to help readers meet the demands of an evolving competitive business environment, Modeling of Responsive Supply Chain outlines novel concepts and strategies for implementing a fully integrated

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not tran

This book describes issues in modeling unconventional conflict and suggests a new way to do the modeling. It presents an ontology that describes the unconventional conflict domain, which allows for g

This book presents an up-to-date review of modeling and optimization approaches for location problems along with a new bi-level programming methodology which captures the effect of competition of both

The book presents the underlying theories of the different approaches for modeling cracking of concrete and provides a critical survey of the state-of-the-art in computational concrete mechanics. It c

In linguistics, the study of grammaticality involves, for syntax, models that focus on movements that apply to inputs to satisfy the requirements a particular grammar imposes on its outputs and, in ph

This book presents the underlying theories of the different approaches for modeling cracking of concrete and offers a survey of the state-of-the-art in computational concrete mechanics. It covers a br

Operating Systems: Internals and Design Principles, 9/e is intended for use in a one- or two-semester undergraduate course in operating systems for computer science, computer engineering, and electri

This book covers computer aided design (CAD), 3-D modeling and engineering analysis and ways they can be applied in research and industry including aerospace, defense, automotive and consumer products

Thin Metallic multilayer films have become an important part in today's computer technology. The giant magnetoresistance (GMR) effect, which plays a central role here, was discovered in the late 1980s

This succinct book focuses on computer aided design (CAD), 3-D modeling, and engineering analysis and the ways they can be applied effectively in research and industrial sectors including aerospace, d

An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills. After a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and

A groundbreaking, flexible approach to computer science and data scienceThe Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud o

Gardens of Court and Country provides the first comprehensive overview of the development of the English formal garden from 1630 to 1730. Often overshadowed by the English landscape garden that became

With mathematical and computational models furthering our understanding of lung mechanics, function and disease, this book provides an all-inclusive introduction to the topic from a quantitative standpoint. Focusing on inverse modeling, the reader is guided through the theory in a logical progression, from the simplest models up to state-of-the-art models that are both dynamic and nonlinear. Key tools used in biomedical engineering research, such as regression theory, linear and nonlinear systems theory, and the Fourier transform, are explained. Derivations of important physical principles, such as the Poiseuille equation and the wave speed equation, from first principles are also provided. Example applications to experimental data throughout illustrate physiological relevance, whilst problem sets at the end of each chapter provide practice and test reader comprehension. This book is ideal for biomedical engineering and biophysics graduate students and researchers wishing to understand