Numerical analysis

Multigrid presents both an elementary introduction to multigrid methods for solving partial differential equations and a contemporary survey of advanced multigrid techniques and real-life applications.

The primary goal of this text is a practical one.

Current and historical research methods in approximation theory are presented in this book beginning with the 1800s and following the evolution of approximation theory via the refinement and extension of classical methods and ending with recent techniques and methodologies.

This book highlights a comprehensive introduction to the principles and calculation methods of computational optical imaging.

This book highlights a comprehensive introduction to the principles and calculation methods of computational optical imaging.

Employ the essential and hands-on tools and functions of MATLAB's ordinary differential equation (ODE) and partial differential equation (PDE) packages, which are explained and demonstrated via interactive examples and case studies.

Many large mathematical models, not only models arising and used in environmental studies, are described by systems of partial differential equations.

This thesis addresses a novel application of network modelling methodologies to power transformers.

The Abel Symposia volume at hand contains a collection of high-quality articles written by the world's leading experts, and addressing all mathematicians interested in advances in deterministic and stochastic dynamical systems, numerical analysis, and control theory.

The book is devoted to the study of approximate solutions of optimization problems in the presence of computational errors.

In Mathematical Methods for Physics using Microsoft Excel, readers will investigate topics from classical to quantum mechanics, which are often omitted from the course work.