Applied mathematics

This volume includes a selection of the contributions presented at the Wroclaw conference in Finance, covering a wide range of topics in the area of finance.

This book provides new theories, applications and quantitative methods in demography, population studies and statistics.

This book gathers selected papers presented at the conference of the Forum for Interdisciplinary Mathematics (FIM), held at Palau Macaya, Barcelona, on 18 to 20 November, 2015.

In addition to describing core concepts and principles, this book reveals professional methodologies and tools used by national agencies and private corporations to predict sites' potential for wind and solar power generation.

This edited volume presents examples of social science research projects that employ new methods of quantitative analysis and mathematical modeling of social processes.

This textbook presents a coherent and robust structure for integrated risk management in the context of operations and finance.

Designed for the 21st century classroom, this textbook poses, refines, and analyzes questions of sustainability in a quantitative environment.

This book presents essential tools for modelling non-linear time series.

This book is a practical guide to the uncertainty analysis of computer model applications.

This volume originates from the INDAM Symposium on Trends on Applications of Mathematics to Mechanics (STAMM), which was held at the INDAM headquarters in Rome on 5-9 September 2016.

This book reports on advanced theories and methods in three related fields of research: applied physics, system science and computers.

This collection of selected papers presented at the 11th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in St.

This book provides a comprehensive presentation of classical and advanced topics in estimation and control of dynamical systems with an emphasis on stochastic control.

This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control.

This book presents an introduction to the analysis of general movements in 3D space, especially for movements of the human body.

This book provides a concise introduction to the mathematical foundations of time series analysis, with an emphasis on mathematical clarity.

This Festschrift contains five research surveys and thirty-four shorter contributions by participants of the conference 'Stochastic Partial Differential Equations and Related Fields' hosted by the Faculty of Mathematics at Bielefeld University, October 10-14, 2016.

This book addresses the hazard of gas explosions in sealed underground coal mines, and how the risk of explosion can be assessed, modeled, and mitigated.

This volume contains the peer-reviewed proceedings of the International Conference on Modelling and Simulation (MS-17), held in Kolkata, India, 4th-5th November 2017, organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE, France) in association with the Institution of Engineering Technology (IET, UK), Kolkata Network.

A variety of modern research in analysis and discrete mathematics is provided in this book along with applications in cryptographic methods and information security, in order to explore new techniques, methods, and problems for further investigation.

This monograph considers the evaluation and expression of measurement uncertainty within the mathematical framework of the Theory of Evidence.

This book summarizes recent advances in applying saddlepoint approximation methods to financial engineering.

The research and review papers presented in this volume provide an overview of the main issues, findings, and open questions in cutting-edge research on the fields of modeling, optimization and dynamics and their applications to biology, economics, energy, finance, industry, physics and psychology.

This text in multivariable calculus fosters comprehension through meaningful explanations.

This unique text for beginning graduate students gives a self-contained introduction to the mathematical properties of stochastics and presents their applications to Markov processes, coding theory, population dynamics, and search engine design.

This text demonstrates the process of comprehensive applied mathematical modeling through the introduction of various case studies.

This Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions.

This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art.

This book presents a collection of selected papers that represent the current variety of research on the teaching and learning of probability.

This book systematically addresses the design and analysis of efficient techniques for independent random sampling.

This book is a tribute to Professor Ian Hugh Sloan on the occasion of his 80th birthday.

This book describes a maximally simple market risk model that is still practical and main risk measures like the value-at-risk and the expected shortfall.

This monograph concisely but thoroughly introduces the reader to the field of mathematical immunology.

This book presents an overview of the emerging field of emotion in videogame soundtracking.

This book delivers a methodological approach on the experimentation and/or simulation processes from the disclaiming hypothesis on a physical phenomenon to the validation of the results.

This text provides essential modeling skills and methodology for the study of infectious diseases through a one-semester modeling course or directed individual studies.

This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms.

This book presents the first detailed mathematical analysis of the social, cognitive and experiential properties of Modernist domestic architecture.

This proceedings book presents selected contributions from the XVIII Congress of APDIO (the Portuguese Association of Operational Research) held in Valenca on June 28-30, 2017.

This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists.

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This book provides an essential overview of computational neuroscience.

This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes.

This book contains the notes of the lectures delivered at an Advanced Course on Combinatorial Matrix Theory held at Centre de Recerca Matematica (CRM) in Barcelona.

This book describes the solution of contact problems with an emphasis on idealized (mainly linear) elastic problems that can be treated with elementary analytical methods.

Modern developments of Random Matrix Theory as well as pedagogical approaches to the standard core of the discipline are surprisingly hard to find in a well-organized, readable and user-friendly fashion.

This book discusses the mathematical foundations of quantum theories.

The purpose of this primer is to provide the basics of the Finite Element Method, primarily illustrated through a classical model problem, linearized elasticity.

This monograph deals primarily with the prediction of vector valued stochastic processes that are either weakly stationary, or have weakly stationary increments, from finite segments of their past.

This book describes a new pattern discovery approach based on the combination among rules between Perceptually Important Points (PIPs) and the Symbolic Aggregate approximation (SAX) representation optimized by Genetic Algorithm (GA).