Numerical analysis

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems.

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems.

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems.

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems.

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems.

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems.

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems.

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems.

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems.

Special functions play a very important role in solving various families of ordinary and partial differential equations as well as their fractional-order analogs, which model real-life situations.

Non-Newtonian flows and their numerical simulations have generated an abundant literature, as well as many publications and references to which can be found in this volume's articles.

This book provides an introduction to the fundamental theory, practical implementation, and core and emerging applications of the material point method (MPM) and its variants.

Computer Science and Applied Mathematics: Mathematical Methods for Wave Phenomena focuses on the methods of applied mathematics, including equations, wave fronts, boundary value problems, and scattering problems.

In this book, the general theory of submanifolds in a multidimensional projective space is constructed.

Boundary Value Problems, Sixth Edition, is the leading text on boundary value problems and Fourier series for professionals and students in engineering, science, and mathematics who work with partial differential equations.

This volume is a thorough introduction to contemporary research in elasticity, and may be used as a working textbook at the graduate level for courses in pure or applied mathematics or in continuum mechanics.

Thoroughly updated throughout, this second edition of Monte Carlo Techniques in Radiation Therapy: Applications to Dosimetry, Imaging, and Preclinical Radiotherapy, edited by Joao Seco and Frank Verhaegen, explores the use of Monte Carlo methods for modelling various features of internal and external radiation sources.

The text covers a wide range of topics such as mathematical modeling of crop pest control management, water resources management, impact of anthropogenic activities on atmospheric carbon dioxide concentrations, impact of climate changes on melting of glaciers and polar bear populations, dynamics of slow-fast predator-prey system and spread and control of HIV epidemic.

Computational Methods in Engineering: Finite Difference, Finite Volume, Finite Element, and Dual Mesh Control Domain Methods provides readers with the information necessary to choose appropriate numerical methods to solve a variety of engineering problems.

Computational Methods in Engineering: Finite Difference, Finite Volume, Finite Element, and Dual Mesh Control Domain Methods provides readers with the information necessary to choose appropriate numerical methods to solve a variety of engineering problems.

This book helps the reader make use of the mathematical models of biological phenomena starting from the basics of programming and computer simulation.

This textbook introduces the study of partial differential equations using both analytical and numerical methods.

This volume is designed as an introduction to the concepts of modern numerical analysis as they apply to partial differential equations.

This monograph presents the geoscientific context arising in decorrelative gravitational exploration to determine the mass density distribution inside the Earth.

In recent years, extensive research has been conducted by eminent mathematicians and engineers whose results and proposed problems are presented in this new volume.

In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task of RF IC design, which is used in two different steps of the automatic design process.

This third edition expands upon the earlier edition by adding nearly 40 pages of new material reflecting the analytical and numerical progress in inverse problems in last 10 years.

This monograph provides a compendium of established and novel error estimation procedures applied in the field of Computational Mechanics.

This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications.

Matrix Singular Value Decomposition (SVD) and its application to problems in signal processing is explored in this book.

Recent decades have seen a very rapid success in developing numerical methods based on explicit control over approximation errors.

The book is devoted to the perturbation analysis of matrix equations.

In the last decade parallel computing has been put forward as the only computational answer to the increasing computational needs arising from very large and complex fluid dynamic problems.

This book contains the papers presented at the Parallel Computational Fluid Dynamics 1998 Conference.

In accordance with the developments in computation, theoretical studies on numerical schemes are now fruitful and highly needed.

Since their introduction in the 1980's, wavelets have become a powerful tool in mathematical analysis, with applications such as image compression, statistical estimation and numerical simulation of partial differential equations.

ACMES (Algorithms and Complexity in Mathematics, Epistemology, and Science) is a multidisciplinary conference series that focuses on epistemological and mathematical issues relating to computation in modern science.

Regression Analysis provides complete coverage of the classical methods of statistical analysis.

This textbook offers a guided tutorial that reviews the theoretical fundamentals while going through the practical examples used for constructing the computational frame, applied to various real-life models.

Theory and Applications of Numerical Analysis is a self-contained Second Edition, providing an introductory account of the main topics in numerical analysis.

Scientific Computing and Differential Equations: An Introduction to Numerical Methods, is an excellent complement to Introduction to Numerical Methods by Ortega and Poole.

Numerical Methods for Fluids, Part 3

Now in its second edition, Introduction to Finite Element Analysis for Engineers is an essential introduction to FEA as a method to solve differential equations.

This book is an enhanced and expanded English edition of the treatise "e;Fondamenti matematici e analisi numerica della dinamica di un Universo isotropo,"e; published by the Accademia delle Scienze di Torino in volume no.

In this textbook for students of laminated composite materials, composite structures, and anisotropic elasticity, Chyanbin Hwu draws on more than three decades of research and applications experience to provide a leading resource on many unique topics related to laminated composite structures.

This book offers an in-depth verification of numerical solutions for differential equations modeling heat transfer phenomena, where the smoothed particle hydrodynamics (SPH) method is used to discretize the mathematical models.

This book presents a comprehensive treatment of recently developed scalable algorithms for solving multibody contact problems of linear elasticity.

Perturbed functional iterations (PFI) is a large scale nonlinear system solver.

The present book develops the mathematical and numerical analysis of linear, elliptic and parabolic partial differential equations (PDEs) with coefficients whose logarithms are modelled as Gaussian random fields (GRFs), in polygonal and polyhedral physical domains.