Maths for engineers

The increasingly active eld of Evolutionary Computation (EC) provides val- ble tools, inspired by the theory of natural selection and genetic inheritance, to problem solving, machine learning, and optimization in many real-world app- cations.

Limit cycles or, more general, periodic solutions of nonlinear dynamical systems occur in many different fields of application.

This book presents a unique approach to the design and analysis of beneficial nonlinearity, which can take an important and critical role in engineering systems and thus cannot be simply ignored in structural design, dynamic response analysis, and parameter selection.

The first edition of this textbook was published only last year, and now, the publisher has decided to issue a paperback edition.

Yet that weakness is also its greatest strength.

Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master for ordinary students, especially for physics majors.

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.

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This book examines how next-generation tools such as artificial intelligence, blockchain, and the Internet of Things are transforming not only the way companies operate, but also how they create value, define strategy, and drive growth.

This book introduces computing and programming with undergraduate engineering students in mind.

This book focuses on the field of type-3 fuzzy logic for applications in time series prediction.

Navigating the realm where physics intersects with programming, this book serves as an indispensable guide for students embarking on their journey with Julia.

This book is a comprehensive and rigorous guide to MATLAB for Civil Engineers, bridging the critical gap between theoretical mathematics and practical engineering solutions.

Problems with high stakes, involving human perceptions and judgements, and whose resolutions have long-term repercussions, call for a rational approach to their solution.

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.

For experiments, dimensional analysis enables the design, checks the validity, orders the procedure and synthesises the data.

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

What Is BCI2000?

Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics.

A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods.

Complex System Reliability presents a state-of-the-art treatment of complex multi-channel system reliability assessment and provides the requisite tools, techniques and algorithms required for designing, evaluating and optimizing ultra-reliable redundant systems.

This book is a comprehensive and rigorous guide to MATLAB for Civil Engineers, bridging the critical gap between theoretical mathematics and practical engineering solutions.

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.

Falling Liquid Films gives a detailed review of state-of-the-art theoretical, analytical and numerical methodologies, for the analysis of dissipative wave dynamics and pattern formation on the surface of a film falling down a planar inclined substrate.

Model Predictive Control System Design and Implementation Using MATLAB(R) proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.

Modern societies depend on the smooth operation of many complex systems (designed and built by humans) that provide a variety of outputs (products and services).

The underlying theory on which much modern robust and nonlinear control is based can often be dif?

The best way to become acquainted with a subject is to write a book about it.

A typical design procedure for model predictive control or control performance monitoring consists of: 1.

Networked control systems (NCS) confer advantages of cost reduction, system diagnosis and flexibility, minimizing wiring and simplifying the addition and replacement of individual elements; efficient data sharing makes taking globally intelligent control decisions easier with NCS.

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

The aim of this book is to help enable the use of the technique of simulation modelling in the organisation.

"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.

Currently, reliability issues are not addressed effectively in new product development.

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

Overview Modelling and simulation is a tool that provides support for the planning, design, and evaluation of systems as well as the evaluation of strategies for system transformation and change.

Matrices are effective tools for modelling and analysing dynamical systems.

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

This monograph is devoted to the effect of delays on the stability properties of dynamical systems.

This book is about dynamical systems that are "e;hybrid"e; in the sense that they contain both continuous and discrete state variables.

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

Recent years have seen an upsurge of interest in knowledge.

In today's competitive world, industries are focusing on shorter lead times, improved quality, reduced cost, increased profit, improved productivity and better customer service.