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Before applying multigrid methods to a project, mathematicians, scientists, and engineers need to answer questions related to the quality of convergence, whether a development will pay out, whether multigrid will work for a particular application, and what the numerical properties are. Practical Fourier Analysis for Multigrid Methods uses a detailed and systematic description of local Fourier k-grid (k=1,2,3) analysis for general systems of partial differential equations to provide a framework that answers these questions.
This volume contains software that confirms written statements about convergence and efficiency of algorithms and is easily adapted to new applications. Providing theoretical background and the linkage between theory and practice, the text and software quickly combine learning by reading and learning by doing. The book enables understanding of basic principles of multigrid and local Fourier analysis, and also describes the theory important to those who need to delve deeper into the details of the subject.
During the past few years, fast changes in the economic environment and massive technological developments in the field of information technology constitute challenges for many companies. The growing capabilities to collect and store loads of internal and external data make it more and more difficult for a business’s management to find the realyy important pieces of information. This situation of information overload is tackeled by a variety of analytic concepts and tools which can be subsumed under the opalescent term of “Business Intelligence”.