Mathematical modelling

Symbolic asymptotics has recently undergone considerable theoretical development, especially in areas where power series are no longer an appropriate tool.

As the role of the modern engineer is markedly different from that of even a decade ago, the theme of engineering mathematics educa- tion (EME) is an important one.

Dive into the fascinating world of Digital Twins, Simulation, and the Metaverse, where the virtual/digital and physical worlds collide and reshape industries.

Paolo Bisogno and Augusto Forti Taking an interest in the future is among the most instinctive Conscious of the existence of time as well as of human activities.

The articles of these proceedings arise from a NSF-CBMS regional conference on the mathematical modeling of the hearing process, that was held at Rensselaer Polytechnic Institute in the summer of 1980.

Objectives and Audience In the past three decades, we have witnessed the phenomenal growth in the trading of  financial derivatives and structured products in the financial markets around the globe and the surge in research on derivative pricing theory.

This volume represents a part of the main result obtained bya group of French probabilists, together with thecontributions of a number of colleagues, mainly from the USAand Japan.

In this volume of original research papers, the main topics discussed relate to the asymptotic windings of planar Brownian motion, structure equations, closure properties of stochastic integrals.

The book incorporates research papers and surveys written byparticipants ofan International Scientific Programme onApproximation Theory jointly supervised by Institute forConstructive Mathematics of University of South Florida atTampa, USA and the Euler International MathematicalInstituteat St.

In many fields of application of mathematics, progress is crucially dependent on the good flow of information between (i) theoretical mathematicians looking for applications, (ii) mathematicians working in applications in need of theory, and (iii) scientists and engineers applying mathematical models and methods.

This book demonstrates the lively interaction between algebraic topology, very low dimensional topology and combinatorial group theory.

Yet that weakness is also its greatest strength.

This volume gathers selected papers presented at the ICMSQUARE 2023 - 12th International Conference on Mathematical Modeling in Physical Sciences held in Belgrade, Serbia from August 28-31, 2023.

The Holy Grail of AI is artificial generative intelligence, a computer that can think human-like.

Based on over twenty years' experience as supervisor and external examiner of project work in mathematics, Phil Dyke shows you how to get the best out of degree projects and case studies in mathematics.

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

FEM updating allows FEMs to be tuned better to reflect measured data.

Mine Safety combines detailed information on safety in mining with methods and mathematics that can be used to preserve human life.

Part of my lecturing work in the School of Mathematics at the University of Leeds involved teaching quantum mechanics and statistical mechanics to mathematics undergraduates, and also mathematical methods to undergraduate students in the School of Electronic and Electrical Engineering at the University.

The use of computational techniques is increasing day by day in the manufacturing sector.

"e;Computational Surface and Roundness Metrology"e; provides an extraordinarily practical and hands-on approach towards understanding the diverse array of mathematical methods used in surface texture and roundness analysis.

attempt has been made to capture the new trends in the regulations, to the extent they are known.

A self-contained introduction to algebraic control for nonlinear systems suitable for researchers and graduate students.

Printed circuit boards (PCBs) play a vital role in our daily lives.

In process modelling, knowledge of the process under consideration is typically partial with significant disturbances to the model.

This book introduces the mathematical foundations of distributionally robust optimization (DRO) for decision-making problems with ambiguous uncertainties and applies them to tackle the critical challenge of energy storage sizing in renewable-integrated power systems, providing readers with an efficient and reliable approach to analyze and design real-world energy systems with uncertainties.

This edited book provides a comprehensive framework for the integration of mathematical methodologies into biological research, emphasizing applications that directly address topics related to SDG 3 (Good Health and Well Being) and SDG 6 (Clean Water and Sanitation).

This monograph introduces a new mathematical model in population dynamics that describes two species sharing the same environmental resources in a situation of open hostility.

This volume presents a comprehensive compilation of chapters whose topics were presented at the 2nd International Conference on Mathematical Analysis and Application in Modeling (CMAAM-2023), held at the Department of Mathematics & the Center for Mathematical Biology and Ecology, Jadavpur University, Kolkata, West Bengal, India, from 9-11 October 2023.

This book deals with efficient estimation and optimization methods to improve the design of electrotechnical devices under uncertainty.

This volume presents a comprehensive compilation of chapters whose topics were presented at the 2nd International Conference on Mathematical Analysis and Application in Modeling (CMAAM-2023), held at the Department of Mathematics & the Center for Mathematical Biology and Ecology, Jadavpur University, Kolkata, West Bengal, India, from 9-11 October 2023.

This is the first textbook to address quantified risk assessment (QRA) as specifically applied to offshore installations and operations.

This is the first textbook to address quantified risk assessment (QRA) as specifically applied to offshore installations and operations.

This is the first textbook to address quantified risk assessment (QRA) as specifically applied to offshore installations and operations.

This accessible text presents a detailed introduction to the use of a wide range of software tools and modeling environments for use in the biosciences, as well as the fundamental mathematical background.

Offshore Risk Assessment was the first book to deal with quantified risk assessment (QRA) as applied specifically to offshore installations and operations.

Offshore Risk Assessment was the first book to deal with quantified risk assessment (QRA) as applied specifically to offshore installations and operations.

Mathematical models can be used to meet many of the challenges and opportunities offered by modern biology.

This comprehensive textbook/reference provides an in-depth overview of the key aspects of transportation analysis, with an emphasis on modeling real transportation systems and executing the models.

Mathematical algorithms are a fundamental component of Computer Aided Design and Manufacturing (CAD/CAM) systems.

Stochastic instantaneous volatility models such as Heston, SABR or SV-LMM have mostly been developed to control the shape and joint dynamics of the implied volatility surface.

Quality Management in Reverse Logistics intends to develop, collect, examine and evaluate a number of quality management (QM) tools and techniques, which can be applied in practice in order to understand, review and improve any closed-loop supply chain process.

This work is aimed at mathematics and engineering graduate students and researchers in the areas of optimization, dynamical systems, control sys- tems, signal processing, and linear algebra.

Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry.

Data Approximation by Low-complexity Models details the theory, algorithms, and applications of structured low-rank approximation.

Dimensional metrology is an essential part of modern manufacturing technologies, but the basic theories and measurement methods are no longer sufficient for today's digitized systems.

Semantics of Parallelism is the only book which provides a unified treatment of the non-interleaving approach to process semantics (as opposed to the interleaving approach of the process algebraists).