Maths for engineers

This book focuses on open issues of Society 5.

Integrates theory, algorithms, modeling, and computer implementation while solved examples show realistic engineering optimization problems.

Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.

Integrates theory, algorithms, modeling, and computer implementation while solved examples show realistic engineering optimization problems.

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.

Clear and engaging introduction for graduate students in engineering and the physical sciences to essential topics of applied mathematics.

This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject.

Graduate-level introduction to error-correcting codes, which are used to protect digital data and applied in public key cryptosystems.

This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject.

Practical guide demystifying the art of integration for beginning calculus students through thorough explanations, examples and exercises.

Practical guide demystifying the art of integration for beginning calculus students through thorough explanations, examples and exercises.

A hands-on guide to Bayesian models with R, JAGS, Python, and Stan code, for a wide range of astronomical data types.

A compact, highly-motivated introduction to some of the stochastic models found useful in the study of communications networks.

A compact, highly-motivated introduction to some of the stochastic models found useful in the study of communications networks.

The first MATLAB-based numerical methods textbook specifically for bioengineers, including topics on hypothesis testing and examples exclusively from bioengineering applications.

This books covers the fundamental theory, and applications, of probability and random processes in electrical and computer engineering.

Solutions manual contains complete worked solutions to half of the problems in Mathematical Methods for Physics and Engineering, Third Edition.

This textbook begins with the finite element method (FEM) before focusing on FEM in heat transfer and fluid mechanics.

This textbook begins with the finite element method (FEM) before focusing on FEM in heat transfer and fluid mechanics.

This textbook takes a streamlined, practical approach, designed to make engineering mathematics accessible and manageable for undergraduate students and instructors alike.

A professional reference and textbook on metal cutting, considering scientific principles and their practical application to manufacturing problems.

This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models of complex systems.

This book is a reissue of classic textbook of mathematical methods.

A textbook covering the theory and physical applications of linear algebra and the calculus of several variables.

This comprehensive book presents, in depth, what engineers need to know about modelling rotorcraft aeromechanics.

This book presents an integrated approach to kinematic and dynamic analysis.

This comprehensive book presents, in depth, what engineers need to know about modelling rotorcraft aeromechanics.

This book presents an integrated approach to kinematic and dynamic analysis.

This book is a reissue of classic textbook of mathematical methods.

A textbook covering the theory and physical applications of linear algebra and the calculus of several variables.

In recent years the methods of modern differential geometry have become of considerable importance in theoretical physics and have found application in relativity and cosmology, high-energy physics and field theory, thermodynamics, fluid dynamics and mechanics.

In recent years the methods of modern differential geometry have become of considerable importance in theoretical physics and have found application in relativity and cosmology, high-energy physics and field theory, thermodynamics, fluid dynamics and mechanics.

This engineering mathematics textbook is rich with examples, applications and exercises, and emphasises applying matrices.

This engineering mathematics textbook is rich with examples, applications and exercises, and emphasises applying matrices.

This self-contained volume introduces modern methods of statistical mechanics in turbulence, with three harmonised lecture courses by world class experts.

New edition of an introduction to Fourier transforms, invaluable to students in physics, electrical and electronic engineering, and computer science.

A concise, practical guide in statistical methods for experimental data handling; ideal for course use and a handy reference for researchers.

This book reflects the strong connection between calculus of variations and the applications for which variational methods form the foundation.

This book reflects the strong connection between calculus of variations and the applications for which variational methods form the foundation.

Wave Dispersion Characteristics of Continuous Mechanical Systems provides a mechanical engineering-based analysis of wave dispersion response in various structures created from different materials.

This book explores the design and analysis of fractional-order and active disturbance rejection control, examining both the theoretical foundations and their practical applications.

This book addresses interconnections between contemporary advances in mathematics, especially algebra, with applications in the social sciences and the arts.

A lively and engaging look at some of the ideas, techniques and elegant results of Fourier analysis, and their applications.

A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

Fill in any gaps in your knowledge with this overview of key topics in undergraduate mathematics, now with four new chapters.

Fill in any gaps in your knowledge with this overview of key topics in undergraduate mathematics, now with four new chapters.

Formal methods is a field of computer science that emphasizes the use of rigorous mathematical techniques for verification and design of hardware and software systems.

Formal methods is a field of computer science that emphasizes the use of rigorous mathematical techniques for verification and design of hardware and software systems.