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

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...

Structural Analysis with Finite Elements
Structural Analysis with Finite Elements

Structural Analysis with Finite Elements, 2nd Edition provides a solid introduction to the foundation and the application of the finite element method in structural analysis. It offers new theoretical insight and practical advice on why finite element results are 'wrong,' why support reactions are relatively accurate, why stresses at...

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

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...

Modeling for Insight: A Master Class for Business Analysts
Modeling for Insight: A Master Class for Business Analysts
Praise for Modeling for Insight

"Most books on modeling are either too theoretical or too focused on the mechanics of programming. Powell and Batt's emphasis on using simple spreadsheet models to gain business insight (which is, after all, the name of the game) is what makes this book stand head and shoulders...

Classical Circuit Theory
Classical Circuit Theory

This book begins with the basic principles of circuits, derives their analytic properties in both the time and frequency domains, and states and proves the two important theorems. It then develops an algorithmic method to design common and uncommon types of circuits, such as prototype filters, lumped delay lines, constant phase difference...

Bond Graph Methodology: Development and Analysis of Multidisciplinary Dynamic System Models
Bond Graph Methodology: Development and Analysis of Multidisciplinary Dynamic System Models

Nowadays, engineering systems are becoming increasingly complex and, for design purposes, must be considered as multidisciplinary systems made up of components from different engineering disciplines. With regard to the systematic development and the analysis of models, interdisciplinary methodologies supported by software become more and more...

Linear Programming with MATLAB (MPS-SIAM Series on Optimization)
Linear Programming with MATLAB (MPS-SIAM Series on Optimization)
This textbook provides a self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Early chapters cover linear algebra basics, the simplex method, duality, the solving of large linear problems, sensitivity analysis, and parametric linear programming. In later chapters, the...
An Introduction to Linear Programming and Game Theory
An Introduction to Linear Programming and Game Theory

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...

Protecting SQL Server Data
Protecting SQL Server Data

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...

Sensitivity Analysis for Neural Networks (Natural Computing Series)
Sensitivity Analysis for Neural Networks (Natural Computing Series)

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
Augmented Learning: Research and Design of Mobile Educational Games
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,...
Microarrays in Clinical Diagnostics (Methods in Molecular Medicine)
Microarrays in Clinical Diagnostics (Methods in Molecular Medicine)
Within the last decade, microarray technology has evolved from an emerging technology developed and used by a few laboratories into a well-established technology used in laboratories all over the world. In fact, the need to characterize genetic alterations is one of the highest priorities for the future of medicine and the...
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