Verification And Validation In Scientific Computing

Verification and Validation in Scientific Computing

Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.

Software Verification and Validation

The World is lacking an in-depth technical book describing the meth ods and techniques used to provide confidence in our system software. Not only is the U.S. government more focused on software safety in to day's market, but private industry and academia are as well. The methods and techniques that provide such confidence are commonly called software verification and validation. Software Verification and Validation: An Engineering and Scientific Approach, a professional book, fills the critical need for an in-depth tech nical reference providing the methods and techniques for building and maintaining confidence in many varieties of system software. The intent of this volume is to help develop reliable answers to such critical questions as: 1) Are we building the right software for the need? 2) Are we building the software right? Software Verification and Validation: An Engineering and Scientific Approach is structured for research scientists and practitioners in industry.

Verification and Validation in Scientific Computing