Applied mathematics

Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems.

Dynamics of Classical and Quantum Fields: An Introduction focuses on dynamical fields in non-relativistic physics.

The The book book was was planned planned in in such such a a manner manner that that two two basic basic goals goals would would be be reached.

This fourth volume of the book series combines propositional logic and R-calculus for a new point of view to consider belief revision.

Regression Estimators: A Comparative Study presents, compares, and contrasts the development and the properties of the ridge type estimators that result from both Bayesian and non-Bayesian (frequentist) methods.

Nanofluids are solid-liquid composite material consisting of solid nanoparticles suspended in liquid with enhanced thermal properties.

This proceedings provides novel concepts and techniques for air traffic management (ATM) and communications, navigation, and surveillance (CNS) systems.

This monograph aims to lay the groundwork for the design of a unified mathematical approach to the modeling and analysis of large, complex systems composed of interacting living things.

Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences.

Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering.

This Second Edition updates the Solutions Manual for Econometrics to match the fourth edition of the Econometrics textbook.

This book introduces acoustic wave theories using a reader-friendly matrix-based linear algebra approach.

This book does not focus solely on asymptotic extreme value distributions.

Reliability Analysis and Plans for Successive Testing: Start-up Demonstration Tests and Applications discusses all past and recent developments on start-up demonstration tests in the context of current numerical and illustrative examples to clarify available methods for distribution theorists and applied mathematicians dealing with control problems.

This volume collects selected papers from the 8th High Dimensional Probability meeting held at Casa Matematica Oaxaca (CMO), Mexico.

How can we predict the trajectory of a baseball from bat to outfield?

The goal of this book is to present Stochastic Calculus at an introductory level and not at its maximum mathematical detail.

This book features selected papers from the 5th International Conference on Mathematics and Computing (ICMC 2019), organized by the School of Computer Engineering, Kalinga Institute of Industrial Technology Bhubaneswar, India, on February 6 - 9, 2019.

Optimization from Human Genes to Cutting Edge Technologies The challenges faced by industry today are so complex that they can only be solved through the help and participation of optimization ex- perts.

La proposta nasce dalla constatazione dell'importanza dell'approccio quantitativo a problemi di rilevanza quotidiana in molte realtà industriali.

This textbook provides a solid foundation into many approaches that are used in the analysis of advanced electromagnetic wave propagation problems.

A step-by-step guide to some of the most important ideas in financial mathematics, including options, future contracts, bonds and derivatives.

This book provides application of multi criteria decision making techniques for managerial discretion.

This user-friendly reference for students and researchers presents the basic mathematical theory, before introducing modelling of key geodynamic processes.

This book is the second volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation.

This dictionary contains terms from the fields of automatic control, which includes mathematical modelling, simulation of dynamic systems, automation technology with its corresponding elements, and robotics.

This unique volume provides self-contained accounts of some recent trends in Biostatistics methodology and their applications.

Over the past fifty years, the development of chaotic dynamical systems theory and its subsequent wide applicability in science and technology has been an extremely important achievement of modern mathematics.

Under the Earth's surface is a rich array of geological resources, many with potential use to humankind.

This book collects select papers presented at the "e;International Conference on Mathematical Analysis and Application in Modeling,"e; held at Jadavpur University, Kolkata, India, on 9-12 January 2018.

A guide to solving numerical problems in the biological sciences, with extensive worked examples and exercises of varying difficulty.

This entertaining introduction to advanced numerical modeling aims to lead the reader on a journey towards theholy grail of numerical simulation, i.

The book addresses optimization in the petroleum industry from a practical, large-scale-application-oriented point of view.

The power of modelization in physics and in engineering is not in doubt, while in the biotechnological field many theoretical studies stop at the description level.

The first comprehensive review of the theory and practice of one oftoday's most powerful optimization techniques.

The research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies.

A clear and complete postgraduate introduction to the theory and computer programming for the complex simulation of material behavior.

Statistical Inference for Ergodic Diffusion Processes encompasses a wealth of results from over ten years of mathematical literature.

This volume provides a comprehensive introduction to the modern theory of differential-operator and kinetic models including Vlasov-Maxwell, Fredholm, Lyapunov-Schmidt branching equations to name a few.

This book explores the extent to which fuzzy set logic can overcome some of the shortcomings of public choice theory, particularly its inability to provide adequate predictive power in empirical studies.

An introduction to the FDTD method for students and engineers without prior modeling experience.

Numerical Methods in Astrophysics: An Introduction outlines various fundamental numerical methods that can solve gravitational dynamics, hydrodynamics, and radiation transport equations.

Time delayed (lagged) variables are an inherent feature of biological/physiological systems.

There is a growing body of literature that focuses on the similarities and differences between how people behave in the offline world vs.

Many ecological phenomena may be modelled using apparently random processes involving space (and possibly time).

This Workshop in nonlinear dynamics and mathematical physics, organized by the Italian Nuclear Energy Agency (ENEA) in Bologna, is intended to give an updated overview of modern trends in the field of nonlinear dynamics with emphasis on applications to physics, quantum theory, plasma physics and fluid dynamics, optics and electrodynamics, computer simulation and neural networks.