Learn IT - Books tags sensitivity

Design Sensitivity Analysis and Optimization of Electromagnetic Systems (Mathematical and Analytical Techniques with Applications to Engineering)

Springer, 2018

This book presents a comprehensive introduction to design sensitivity analysis theory as applied to electromagnetic systems. It treats the subject in a unified manner, providing numerical methods and design examples. The specific focus is on continuum design sensitivity analysis, which offers significant advantages over discrete...

Advanced Excel Essentials

Apress, 2014

Advanced Excel Essentials is the only book for the experienced Excel developer. This book starts from the assumption that you are well-versed in Excel--and builds on your skills to take them to the advanced level. It will show you the building blocks of advanced development and then take you through the development of your own advanced...

Migrants Before the Law: Contested Migration Control in Europe

Palgrave Macmillan, 2018

This book traces the practices of migration control and its contestation in the European migration regime in times of intense politicization. The collaboratively written work brings together the perspectives of state agents, NGOs, migrants with precarious legal status, and their support networks, collected through multi-sited fieldwork...

Robust Design Methodology for Reliability: Exploring the Effects of Variation and Uncertainty

John Wiley & Sons, 2009

Based on deep theoretical as well as practical experience in Reliability and Quality Sciences, Robust Design Methodology for Reliability constructively addresses practical reliability problems. It offers a comprehensive design theory for reliability, utilizing robust design methodology and six sigma frameworks. In particular, the relation...

An Introduction to Linear Programming and Game Theory

John Wiley & Sons, 2008

Praise for the Second Edition:

"This is quite a well-done book: very tightly organized, better-than-average exposition, and numerous examples, illustrations, and applications."
—Mathematical Reviews of the American Mathematical Society

An Introduction to Linear Programming and...

Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS®: Causal Methods and Implementation Using SAS®

SAS Institute, 2019

Discover best practices for real world data research with SAS code and examples

Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials. This data...

Patients, Doctors and Healers: Medical Worlds among the Mapuche in Southern Chile

Palgrave Macmillan, 2018

Recognizing the interplay between biomedicine and indigenous medicine among the Mapuche in Southern Chile, this book explores notions of culture and personhood through the bodily experiences and medical choices of patients. Through case studies of patients in the context of medical pluralism, Kristensen argues that medical practices are...

Cardiac Gene Expression: Methods and Protocols (Methods in Molecular Biology)

Humana Press, 2007

This book presents both cutting-edge and established methods for studying cardiac gene expression. The protocols provide a template for solid research, and cover the process through screening, analysis, characterization, and functional confirmation of novel genes or known genes with a new function. The concluding section of the book...

Protecting SQL Server Data

Red gate, 2009

For as long as there has been something to communicate between two persons there has been data. Today, vast volumes of it are gathered about almost every individual and business. It is the information that we provide when we sign up for an account at our favorite website, fill out a job application, or apply for a mortgage.

These...

Post-Optimal Analysis in Linear Semi-Infinite Optimization (SpringerBriefs in Optimization)

Springer, 2014

Post-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards to linear semi-infinite optimization: modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis. Linear semi-infinite optimization (LSIO) deals with linear optimization...

Sensitivity Analysis for Neural Networks (Natural Computing Series)

Springer, 2010

Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural...

Augmented Learning: Research and Design of Mobile Educational Games

MIT Press, 2008

New technology has brought with it new tools for learning, and research has shown that the educational potential of video games resonates with scholars, teachers, and students alike. In Augmented Learning, Eric Klopfer describes the largely untapped potential of mobile learning games--games played on such handheld devices as cell phones,...

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