Applied mathematics

The volume consists entirely of research papers, principally in stochastic calculus, martingales, and Brownian motion, and gathers an important part of the works done in the main probability groups in France (Paris, Strasbourg, Toulouse, Besancon, Grenoble,.

This book offers accessible probabilistic modelling of relevant financial problems.

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture and cognitive science.

There has been a tremendous growth in the volume of financial transactions based on mathematics, reflecting the confidence in the Nobel-Prize-winning Black-Scholes option theory.

The modeling of item response data is governed by item response theory, also referred to as modern test theory.

Modern computer algebra systems are revolutionizing the teaching and learning of mathematically intensive subjects in science and engineering, enabling students to explore increasingly complex and computationally intensive models that provide analytic solutions, animated numerical solutions, and complex two- and three-dimensional graphic displays.

In recent years, there has been a growing debate, particularly in the UK and Europe, over the merits of using discrete-event simulation (DES) and system dynamics (SD); there are now instances where both methodologies were employed on the same problem.

This volume deals with the classical Navier-Stokes system of equations governing the planar flow of incompressible, viscid fluid.

Mathematical Tools for Applied Multivariate Analysis provides information pertinent to the aspects of transformational geometry, matrix algebra, and the calculus that are most relevant for the study of multivariate analysis.

Heat Recovery with Commercial, Institutional, and Industrial Heat Pumps presents the basic concepts and thermodynamic behavior of mechanical vapor compression and recompression.

Intelligent Information Technology (iiT) encompasses the theories and ap- plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com- puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others.

This new volume, Design and Construction of Laboratory Gas Pipelines: A Practical Reference for Engineers and Professionals, focuses on design and installation of laboratory gas pipelines.

This book deals with the complexity of art by focusing on the singularity of the work of art.

The second edition of this practical text offers a broad introduction to the engineering principles of chemical energy conversion.

This book examines the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms with applications in information security for digital media.

This book presents recent results and envisages new solutions of the stabilization problem for infinite-dimensional control systems.

Senior probabilists from around the world with widely differing specialities gave their visions of the state of their specialty, why they think it is important, and how they think it will develop in the new millenium.

Wondrous One Sheet Origami is a how-to book full of beautiful origami designs covering a wide range of folding levels from simple to high intermediate, with more emphasis on the latter.

Address physical principles and unified theories governing multiphase flows, with methods, applications, and problems.

Optimization in Solving Elliptic Problems focuses on one of the most interesting and challenging problems of computational mathematics - the optimization of numerical algorithms for solving elliptic problems.

The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in the last few years.

This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes.

It was once widely believed that quantum computation would never become a reality.

Arithmetic Applied Mathematics deals with the deterministic theories of particle mechanics using a computer approach.

This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks.

Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s.

Biostatistics, Second Edition, is a user-friendly guide on biostatistics, which focuses on the proper use and interpretation of statistical methods.

Can you really keep your eye on the ball?

This practical guide covers the essential tasks in statistical data analysis encountered in high energy physics and provides comprehensive advice for typical questions and problems.

This book is focused on modeling with linear differential equations with constant coefficients.

The present volume is an extensive monograph on the analytic and geometric aspects of Markov diffusion operators.

There have been many advances in the theory and applications of discrete distributions in recent years.

This edition of this successful text includes chapters on hyperelastic plastic behaviour and updates to FLagSHyP web program.

Factorial designs were introduced and popularized by Fisher (1935).

This Element provides a unified framework to handle various approaches to generative models via Markov chains.

This book provides a thorough understanding of fluid dynamics and heat and mass transfer.

This text, based on the author's teaching at Ecole Polytechnique, introduces the reader to the world of mathematical modelling and numerical simulation.

The cooperation and contamination among mathematicians, statisticians and econometricians working in actuarial sciences and finance are improving the research on these topics and producing numerous meaningful scientific results.

The main subject is the probabilistic extreme value theory.

The aim of this book is to explain, analyze and compute the kinds of motions that appear in an extended vicinity of the geometrically defined equilateral points of the Earth-Moon system, as a source of possible nominal orbits for future space missions.

Differential algebraic equations (DAEs), including so-called descriptor systems, began to attract significant research interest in applied and numerical mathematics in the early 1980s, no more than about three decades ago.

For more than two decades percolation theory, random walks, interacting parti- cle systems and topics related to statistical mechanics have experienced inten- sive growth.

This book presents a detailed development of the divergence theorem.

This book is devoted to problems of stochastic control and stopping that are time inconsistent in the sense that they do not admit a Bellman optimality principle.

This book provides a systematic presentation of the mathematical foundation of modern physics with applications particularly within classical mechanics and the theory of relativity.

In May 2006, The University of Utah hosted an NSF-funded minicourse on stochastic partial differential equations.

Wavelets are a recently developed tool for the analysis and synthesis of functions; their simplicity, versatility and precision makes them valuable in many branches of applied mathematics.