Numerical analysis

This textbook teaches students how to write computer programs on the MATLAB platform and to use many of MATLAB's built-in functions to solve engineering-type problems.

This unique book presents a coherent asymptotic approach to the analysis of elastohydrodynamic lubrication (EHL) problems for heavily loaded line and point contacts.

Combinatorial Scientific Computing explores the latest research on creating algorithms and software tools to solve key combinatorial problems on large-scale high-performance computing architectures.

There are various techniques to optimize either structural parameters, or structural controllers, but there are not many techniques that can simultaneously optimize the structural parameters and controller.

This text focuses on the primary topics in a first course in Linear Algebra.

Python Programming for Mathematics focuses on the practical use of the Python language in a range of different areas of mathematics.

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 provides a concise but thorough introduction to partial differential equations which model phenomena that vary in both space and time.

The ability to use computers to solve mathematical relationships is a fundamental skill for anyone planning for a career in science or engineering.

This comprehensive monograph illustrates the intricate realm of controllability and stabilization of wave phenomena.

A graduate level text, this book presents a unique combination of theoretical mathematics and engineering applications.

This comprehensive monograph illustrates the intricate realm of controllability and stabilization of wave phenomena.

This book covers contemporary topics in mathematical analysis and its applications and relevance in other areas of research.

This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2023 annual conference of the Computational Social Science Society of the Americas (CSSSA).

This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2023 annual conference of the Computational Social Science Society of the Americas (CSSSA).

Here is your in-depth guide to cryptography and cryptanalysis in Java.

This second edition of Impact Engineering covers the dynamic analysis of structures undergoing small to large displacements, linear and nonlinear elastic material behavior to viscoplasticity, and the range of features of structural impact analysis.

Modeling and Inverse Problems in the Presence of Uncertainty collects recent research-including the authors' own substantial projects-on uncertainty propagation and quantification.

This monograph is concerned with the direct-scattering of electromagnetic waves by one- and two-dimensional objects, and the use of this technique in one-dimensional inverse profiling.

Understand How to Use and Develop Meshfree TechniquesAn Update of a Groundbreaking WorkReflecting the significant advances made in the field since the publication of its predecessor, Meshfree Methods: Moving Beyond the Finite Element Method, Second Edition systematically covers the most widely used meshfree methods.

Explore a Unified Treatment of the Finite Element MethodThe finite element method has matured to the point that it can accurately and reliably be used, by a careful analyst, for an amazingly wide range of applications.

Give Your Students the Proper Groundwork for Future Studies in OptimizationA First Course in Optimization is designed for a one-semester course in optimization taken by advanced undergraduate and beginning graduate students in the mathematical sciences and engineering.

For students in industrial and systems engineering (ISE) and operations research (OR) to understand optimization at an advanced level, they must first grasp the analysis of algorithms, computational complexity, and other concepts and modern developments in numerical methods.

Teach Your Students Both the Mathematics of Numerical Methods and the Art of Computer ProgrammingIntroduction to Computational Linear Algebra presents classroom-tested material on computational linear algebra and its application to numerical solutions of partial and ordinary differential equations.

This entertaining introduction to advanced numerical modeling aims to lead the reader on a journey towards theholy grail of numerical simulation, i.

Numerical Solutions for Nanocomposite Structures provides an in-depth exploration of structural analysis using numerical methods grounded in rigorous mathematical modeling.

Defect Correction Methods for Fluid Flows at High Reynold's Numbers presents the mathematical development of defect correction methods (DCM) in application to fluid flow problems in various settings.

This monograph is concerned with the direct-scattering of electromagnetic waves by one- and two-dimensional objects, and the use of this technique in one-dimensional inverse profiling.

Introduction to Python for Science and Engineering offers a quick and incisive introduction to the Python programming language for use in any science or engineering discipline.

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences.

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences.

Most physical phenomena exhibit spatiotemporal features interpreted as wave dynamics.

Most physical phenomena exhibit spatiotemporal features interpreted as wave dynamics.

This book describes the underlying behaviour of steel and concrete bridge decks.

This book covers contemporary topics in mathematical analysis and its applications and relevance in other areas of research.

Difference Equations: Theory, Applications and Advanced Topics, Third Edition provides a broad introduction to the mathematics of difference equations and some of their applications.

Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB provides a concrete and intuitive yet rigorous introduction to modern linear optimization.

Iterative Optimization in Inverse Problems brings together a number of important iterative algorithms for medical imaging, optimization, and statistical estimation.

When the first sputnik was launched and the space era began, few gave thought to the possible negative impact of putting satellites into orbit.

This book provides an elementary, accessible introduction for engineers and scientists to the concepts of ordinary and partial boundary value problems, acquainting readers with fundamental properties and with efficient methods of constructing solutions or satisfactory approximations.

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors.

Numerical Solutions for Nanocomposite Structures provides an in-depth exploration of structural analysis using numerical methods grounded in rigorous mathematical modeling.

Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective.

This is the second edition of an influential monograph on logarithmic potentials with external fields, incorporating some of the numerous advancements made since the initial publication.

This book provides an elementary, accessible introduction for engineers and scientists to the concepts of ordinary and partial boundary value problems, acquainting readers with fundamental properties and with efficient methods of constructing solutions or satisfactory approximations.