This book?describes computational finance?tools. It covers fundamental numerical analysis and computational techniques, such as?option pricing, and gives?special attention to?simulation and optimizati
Produced by microbes on a large scale, methane is an important alternative fuel as well as a potent greenhouse gas. This volume focuses on microbial methane metabolism, which is central to the global
Produced by microbes on a large scale, methane is an important alternative fuel as well as a potent greenhouse gas. This volume focuses on microbial methane metabolism, which is central to the global
The use of thermodynamics in biological research can be equated to an energy book-keeping system. While the structure and function of a molecule is important, it is equally important to know what driv
The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. This thematic volume of Advances in Genetics
?The various chapters within this volume include a wide variety of applications that extend far beyond this limited perception. As part of the Reliable Lab Solutions series, Essential Numerical Comput
Advances in Quantum Chemistry presents surveys of current developments in this rapidly developing field. With invited reviews written by leading international researchers, each presenting new results,
Single molecule tools have begun to revolutionize the molecular sciences, from biophysics to chemistry to cell biology. They hold the promise to be able to directly observe previously unseen molecular
The rapid growth of interest and research activity in ion channels is indicative of their fundamental importance in the maintenance of the living state. This volume provides a sampling of the range o
Advances in Quantum Chemistry presents surveys of current developments in this rapidly developing field. With invited reviews written by leading international researchers, each presenting new results,
Cilia are highly conserved organelles that serve motile functions,?sensory functions, or both. These organelles power cell movement, generate fluid flow in various organs, act as sensors of the extrac
Liposomes are cellular structures made up of lipid molecules, which are water insoluable organic molecules and the basis of biological membranes. Important as a cellular model in the study of basic bi
?* Highlights top downloaded and cited chapters, authored by pioneers in the field and enhanced with their tips, and pitfalls to avoid.?* Loaded with detailed protocols developed and used by leaders i
Due to its prolific reproduction and the external development of the transparent embryo, the zebrafish is the prime model for genetic and developmental studies, as well as research in genomics. While
The understanding of chemokines, the proteins that control the migration of cells, and their receptors, is critical to the study of causes and therapies for a wide range of human diseases and infectio
Understanding live cells at the single molecule level is the most important and single major challenge facing biology and medicine today. Nanobiology focuses on the properties and structure of complex
Capillary electrophoresis (CE) is a powerful analytical technique that is widely used in research and development and in quality control of pharmaceuticals. Many reports of highly efficient separation
Introduction to Electron Microscopy for Biologists is ideal for the scientist who may be considering electron microscopy as a tool to extend molecular, biochemical, or light microscope observations to
The Nobel Prize was awarded in Physiology or Medicine in 1998 to Louis J. Ignarro, Robert F. Furchgott and Ferid Murad for demonstrating the signaling properties of nitric oxide. Nitric Oxide (NO) is
Although, the basic concept of a fuel cell is quite simple, creating new designs and optimizing their performance takes serious work and a mastery of several technical areas. PEM Fuel Cell Modeling an
Advances in Quantum Chemistry presents surveys of current developments in this rapidly developing field that falls between the historically established areas of mathematics, physics, chemistry, and bi
Remote sensing is a technology that engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. Normally this is accomplished through the use of a satellite
Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework ex
New US government requirements state that federally funded grants and school programs must prove that they are based on scientifically proved improvements in teaching and learning. All new grants must
Successful characterization of polymer systems is one of the most important objectives of today's experimental research of polymers. Considering the tremendous scientific, technological, and economic
The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and p
Scattering theory is the study of an interacting system on a scale of time and/or distance which is large compared to the scale of the interaction itself. As such, it is the most effective means, some
BESTSELLER of the XXth Century in Mathematical Physics voted on by participants of the XIIIth International Congress on Mathematical PhysicsThis revision will make this book mroe attractive as a textb
This volume will serve several purposes: to provide an introduction for graduate students not previously acquainted with the material, to serve as a reference for mathematical physicists already worki
EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques.
Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamic
Artificial Neural Networks for Engineering Applications presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods, using artificia
EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal pr
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for th
Proper Orthogonal Decomposition Methods for Partial Differential Equations evaluates the potential applications of POD reduced-order numerical methods in increasing computational efficiency, decreasin
Introduction to Electrophysiological Methods and Instrumentation, Second Edition covers all topics of interest to electrophysiologists, neuroscientists and neurophysiologists, from the reliable penetr
Signals and Systems Using MATLAB, Third Edition, features a pedagogically rich and accessible approach to what can commonly be a mathematically dry subject. Historical notes and common mistakes combin
Computational Fluid-Structure Interaction: Methods, Models, and Applications provides detailed explanations of a range of FSI models, their mathematical formulations, validations, and applications, wi
Applied Biomechatronics Using Mathematical Models provides an appropriate methodology to detect and measure diseases and injuries relating to human kinematics and kinetics. It features mathematical mo
Methods in Extra Cellular Matrix, Volume 142, a new volume in the Methods in Cell Biology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field. Un
