Maths for engineers

Developed from a course taught to senior undergraduates, this book provides a unified introduction to Fourier analysis and special functions based on the Sturm-Liouville theory in L2.

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

Computer software reliability has never been so important.

Purchasers of manufactured goods need assurance that they will perform well over their expected life.

Many real systems are composed of multi-state components with different performance levels and several failure modes.

Switched linear systems have enjoyed a particular growth in interest since the 1990s.

Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying fundamental principles.

Parametric cost estimating, when properly used, is a powerful and cost effective technique.

This book aims to present a state-of-the-art survey of theories and methods of reliability, maintenance, and warranty with emphasis on multi-unit systems, and to reflect current hot topics: imperfect maintenance, economic dependence, opportunistic maintenance, quasi-renewal processes, warranty with maintenance and economic dependency, and software testing and maintenance.

Perturbations of Positive Semigroups with Applications is a self-contained introduction to semigroup theory with emphasis on positive semigroups on Banach lattices and perturbation techniques.

Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work.

Multibody Mechanics and Visualization is designed to appeal to computer-savvy students who will acquire significant skills in mathematical and physical modelling of mechanical systems in the process of producing attractive computer simulations and animations.

This book introduces a novel approach to designing and analyzing beneficial nonlinearity, which plays a crucial role in engineering systems and cannot be overlooked in structural design, dynamic response analysis, and parameter selection.

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 book is the tenth of 15 related monographs, discusses product-cubic nonlinear systems with two crossing-linear and self-quadratic products vector fields and the dynamic behaviors and singularity are presented through the first integral manifolds.

Even the most enthusiastic of maths students probably at one time wondered when exactly it would all prove useful in ';real life'.

Is anything truly random?

This book focuses on the fields of neural networks, swarm optimization algorithms, clustering and fuzzy logic.

Digital technology contributes to sustainability as it positively impacts society and environment, improves efficiency, and minimizes waste.

This textbook provides a rigorous yet accessible introduction to Nonlinear Elasticity aimed at undergraduate students in a compact text.

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).

The book describes the methodologies for dynamics formulation, balancing, and optimizing dynamic quantities of multibody systems, such as mechanisms and robots.

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.

Digital technology contributes to sustainability as it positively impacts society and environment, improves efficiency, and minimizes waste.

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 provides an in-depth, comprehensive, and comprehensible description of the theoretical background and numerical methodologies corresponding to advanced particle methods formulated in classical Newtonian mechanics for simulation of fluids, structures, and their interactions.

This new edition retains its class-tested explanation of the physics of phase transformation and associated constraints from a metallurgical/materials science point of view, and adds an enhanced treatment of the underlying theoretical concepts with greater clarification.

This book collects selected contributions from the 10th Recurrence Plot Symposium, held at the University of Tsukuba, Japan (August 28-30, 2023).

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

This book presents Analytical and Approximate Methods for Complex Dynamical Systems and introduces ideas of discontinuous mapping treated as complex dynamical systems.

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data.

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 graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data.

This book examines the problems of causal determinism and limited completeness in systems theory.

The book focuses on graph neural network methods and applications for scene understanding.

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.

In this book, there is a strong emphasis on application with the necessary mathematical grounding.

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.

In the past decade, there has been a substantial increase of grid-feeding photovoltaic applications, thus raising the importance of solar electricity in the energy mix.

Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed.

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.