Applied mathematics

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Engineering Analysis: Advanced Mathematical Methods for Engineers introduces graduate engineering students to the fundamental but advanced mathematics tools used in engineering application, especially in mechanical, aerospace, and civil engineering.

This book highlights major quantitative and qualitative methods and approaches used in the field of urban analysis.

This volume is an attempt to provide a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, with special emphasis placed on fundamental classes of models and algorithms as well as on their applications, e.

Sich mathematisches Wissen anzueignen, kann nur in aktiver Weise erfolgen, in­ dem man selbst viel modelliert und rechnet.

This book is based on the "e;Summer Simulation Multi-Conference"e; (SCSC), which has been a prominent platform for the dissemination of scholarly research in the M&S community for the last 50 years.

Mathematic Modelling: Improving the Implementation, Monitoring and Evaluation of Interventions, Part B, the latest volume in the Advances in Parasitology series contains comprehensive and up-to-date reviews in the field of mathematic modeling and its implementation within parasitology.

Das Buch gibt eine Einführung in weiterführende Themengebiete der stochastischen Prozesse und der zugehörigen stochastischen Analysis und verbindet diese mit einer fundierten Darstellung von Grundlagen der Finanzmathematik.

This book provides the first consideration of quantum principles in legal decision making.

Zipf's law is one of the few quantitative reproducible regularities found in e- nomics.

Aimed at students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this text provides a comprehensive coverage of the main statistical analysis topics important for practical applications such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics.

Mathematical modeling can be a useful tool for researchers in the biological scientists.

This monograph explores the logical systems of early logicians in the Arabic tradition from a theoretical perspective, providing a complete panorama of early Arabic logic and centering it within an expansive historical context.

This book is a pedagogical presentation aimed at advanced undergraduate students, beginning graduate students and professionals who are looking for an introductory text to the field of Distance Geometry, and some of its applications.

Commutation Relations, Normal Ordering, and Stirling Numbers provides an introduction to the combinatorial aspects of normal ordering in the Weyl algebra and some of its close relatives.

Based on the author's junior-level undergraduate course, this introductory textbook is designed for a course in mathematical physics.

Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations.

Practice makes perfect.

The subject of Elasticity can be approached from several points of view, - pending on whether the practitioner is principally interested in the mat- matical structure of the subject or in its use in engineering applications and, in the latter case, whether essentially numerical or analytical methods are envisaged as the solution method.

This is not a purely mathematical book.

This book not only presents essential material to understand fuzzy metric fixed point theory, but also enables the readers to appreciate the recent advancements made in this direction.

This book is centered around higher algebraic structures stemming from the work of Murray Gerstenhaber and Jim Stasheff that are now ubiquitous in various areas of mathematics- such as algebra, algebraic topology, differential geometry, algebraic geometry, mathematical physics- and in theoretical physics such as quantum field theory and string theory.

Maxwell's equations explain the basics of electricity and magnetism.

The Final Volume of the Groundbreaking Trilogy on Agent-Based ModelingIn this pioneering synthesis, Joshua Epstein introduces a new theoretical entity: Agent_Zero.

This book has been written for several reasons, not all of which are academic.

The fourth edition of Numerical Methods Using MATLAB(R) provides a clear and rigorous introduction to a wide range of numerical methods that have practical applications.

This volume collects ten surveys on the modeling, simulation, and applications of active particles using methods ranging from mathematical kinetic theory to nonequilibrium statistical mechanics.

Stochastic programming - the science that provides us with tools to design and control stochastic systems with the aid of mathematical programming techniques - lies at the intersection of statistics and mathematical programming.

The aim of this research is to develop a systematic scheme that makes it possible to transform important parts of the by now classical theory of summation of general orthonormal series into a similar theory for series in noncommutative $L_p$-spaces constructed over a noncommutative measure space (a von Neumann algebra of operators acting on a Hilbert space together with a faithful normal state on this algebra).

The book presents applications of stochastic calculus to derivative security pricing and interest rate modelling.

My original intention was to write a history of medical statistics, used in its prewar sense, expanding the writings on the subject by Major Greenwood, from which I formed many of my ideas in the early days immediately after the Second World War.

This book introduces new approaches to solving optimal control problems in induction heating process applications.

Introduction to Stochastic Finance with Market Examples, Second Edition presents an introduction to pricing and hedging in discrete and continuous-time financial models, emphasizing both analytical and probabilistic methods.

Neural Network Analysis, Architectures and Applications discusses the main areas of neural networks, with each authoritative chapter covering the latest information from different perspectives.

One of the major concerns of theoretical computer science is the classifi- cation of problems in terms of how hard they are.

This book evolved from a one-year sequence of courses offered by the authors at Iowa State University.

The exciton mechanism of high-Tc superconductivity in copper oxides was initially proposed by Prof.

This novel book introduces cellular automata from a rigorous nonlinear dynamics perspective.

Presents an updated, full-color, second edition on thermodynamics, providing a structured approach to this subject and a wealth of new problems.

The First Pan-China Conference on Differential Equations was held in Kunming, China in June of 1997.

Mindmatics invites readers into a captivating exploration where the boundaries between mind and mathematics dissolve.

Solved and Unsolved Problems of Structural Chemistry introduces new methods and approaches for solving problems related to molecular structure.

This book documents the journey undertaken by educators from the Mathematics and Mathematics Education (MME) Academic Group in the National Institute of Education (NIE) and Singapore schools during a Mathematical Modelling Outreach (MMO) event in June 2010 under the guidance of renowned experts in the field of mathematical modelling.

Offering a well-balanced blend of theory and hands-on applications, this book presents a unified framework for the main dissipative phenomena in metallic materials: plasticity and damage.

This volume highlights recent applications of multiple-criteria decision-making (MCDM) models in the field of finance.

* How can sprinter Usain Bolt break his world record without running any faster?

Long employed in electrical engineering, the discrete Fourier transform (DFT) is now applied in a range of fields through the use of digital computers and fast Fourier transform (FFT) algorithms.