Numerical analysis

A cooperative system is defined to be multiple dynamic entities that share information or tasks to accomplish a common, though perhaps not singular, objective.

This book is meant as a present to honor Professor on the th occasion of his 70 birthday.

The solution of eigenvalue problems is an integral part of many scientific computations.

This book offers an up-to-date introductory treatment of computational techniques applied to problems in finance, placing issues such as numerical stability, convergence and error analysis in both deterministic and stochastic settings at its core.

This book introduces a semi- analytical method, Improved Residual Power Series Method (IRPSM), for solving boundary value problems (BVPs).

Mathematical models cannot be solved using the traditional analytical methods for dynamic equations on time scales.

Comprehensive text on the fundamentals of modeling flow and sediment transport in rivers treating both physical principles and numerical methods for various degrees of complexity.

Equipping practicing engineers and students with the tools to independently assess and understand complex material on the topic, this text is an ideal precursor to advanced heat transfer courses.

This book determines adjustable parameters in mathematical models that describe steady state or dynamic systems, presenting the most important optimization methods used for parameter estimation.

Proper treatment of structural behavior under severe loading - such as the performance of a high-rise building during an earthquake - relies heavily on the use of probability-based analysis and decision-making tools.

The interaction phenomenon is very common between different components of a mechanical system.

Labyrinth spillways are almost as old as dam engineering.

This volume contains the lecture notes of the Short Course on Numerical Methods for Hyperbolic Equations (Faculty of Mathematics, University of Santiago de Compostela, Spain, 2-4 July 2011).

Separation of Variables for Partial Differential Equations: An Eigenfunction Approach includes many realistic applications beyond the usual model problems.

While the theory and application of finite elements methods can be extended to incompatible, hybrid, and mixed element methods, important issues, such as determining the reliability of the solution of incompatible multivariable elements, along with a common perception of impracticality, have hindered the widespread implementation of these methods.

Rocks and soils can behave as discontinuous materials, both physically and mechanically, and for such discontinuous nature and behaviour there remain challenges in numerical modelling methods and techniques.

Porous media are broadly found in nature and their study is of high relevance in our present lives.

The book is an excellent text as well as a practical reference for civil, mechanical and aerospace engineers and has been identified as a work that is admirable in its lucidity and complete in itself.

The finite element method reigns as the dominant technique for modeling mechanical systems.

Wavelets are spatially localized functions whose amplitude drops off exponentially outside a small "e;window"e;.

Quantitative thinking is our inclination to view natural and everyday phenomena through a lens of measurable events, with forecasts, odds, predictions, and likelihood playing a dominant part.

Quantitative thinking is our inclination to view natural and everyday phenomena through a lens of measurable events, with forecasts, odds, predictions, and likelihood playing a dominant part.

Analysis underpins calculus, much as calculus underpins virtually all mathematical sciences.

This book is a description of why and how to do Scientific Computing for fundamental models of fluid flow.

This book is a description of why and how to do Scientific Computing for fundamental models of fluid flow.

Self-adaptive discretization methods are now an indispensable tool for the numerical solution of partial differential equations that arise from physical and technical applications.

Self-adaptive discretization methods are now an indispensable tool for the numerical solution of partial differential equations that arise from physical and technical applications.

This textbook is designed to give graduate students an understanding of integrable systems via the study of Riemann surfaces, loop groups, and twistors.

The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science.

The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science.

The finite element method is a technique for solving problems in applied science and engineering.

The finite element method is a technique for solving problems in applied science and engineering.

Nonlinear elliptic problems play an increasingly important role in mathematics, science and engineering, creating an exciting interplay between the subjects.

The fields of computational fluid dynamics (CFD) and optimal shape design (OSD) have received considerable attention in the recent past, and are of practical importance for many engineering applications.

This collection of selected papers presented at the 11th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in St.

The text presents and discusses some of the most influential papers in Matrix Computation authored by Gene H.

This text, based on the author's teaching at Ecole Polytechnique, introduces the reader to the world of mathematical modelling and numerical simulation.

This is the first text explaining how to use the bulk synchronous parallel (BSP) model and the freely available BSPlib communication library in parallel algorithm design and parallel programming.

Spectral methods have long been popular in direct and large eddy simulation of turbulent flows, but their use in areas with complex-geometry computational domains has historically been much more limited.

This graduate text, based on years of teaching experience, is intended for first or second year graduate students in pure mathematics.

Intersecting two large research areas - numerical analysis and applied probability/queuing theory - this book is a self-contained introduction to the numerical solution of structured Markov chains, which have a wide applicability in queuing theory and stochastic modeling and include M/G/1 and GI/M/1-type Markov chain, quasi-birth-death processes, non-skip free queues and tree-like stochastic processes.

This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI'18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018.

This volume resulted from presentations given at the international "e;Brainstorming Workshop on New Developments in Discrete Mechanics, Geometric Integration and Lie-Butcher Series"e;, that took place at the Instituto de Ciencias Matematicas (ICMAT) in Madrid, Spain.

This book gathers the outcomes of the second ECCOMAS CM3 Conference series on transport, which addressed the main challenges and opportunities that computation and big data represent for transport and mobility in the automotive, logistics, aeronautics and marine-maritime fields.

This is a book written primarily for graduate students and early researchers in the fields of Analysis and Partial Differential Equations (PDEs).

This is a book written primarily for graduate students and early researchers in the fields of Analysis and Partial Differential Equations (PDEs).

This is a book written primarily for graduate students and early researchers in the fields of Analysis and Partial Differential Equations (PDEs).

This is a book written primarily for graduate students and early researchers in the fields of Analysis and Partial Differential Equations (PDEs).

Besides their intrinsic mathematical interest, geometric partial differential equations (PDEs) are ubiquitous in many scientific, engineering and industrial applications.

Floating point is ubiquitous in computers, where it is the default way to represent non-integer numbers.