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Springer FFT Algorithms for Parallel Computers - HPC Series 2

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Description

Expand your knowledge of high-performance computing with this specialized volume from Springer. Following an introduction to the basics of the fast Fourier transform (FFT), this book focuses on the specific implementation details required for parallel computers. FFT serves as an efficient implementation of the discrete Fourier transform (DFT) and remains a vital tool across engineering, science, and mathematics. This text provides many algorithms presented in pseudo-code alongside detailed complexity analysis. It serves as a practical reference guide for graduate students, engineers, and scientists who need to apply FFT to large-scale problems. As parallel computation becomes essential for solving large-scale tasks, this book offers the technical depth necessary to master these complex implementations.

Key Features

This Springer publication focuses on the implementation details of FFT specifically for parallel computers.

The text includes many algorithms presented in pseudo-code to assist with practical application.

Detailed complexity analysis is provided to help scientists and engineers understand computational efficiency.

This volume serves as a technical reference guide for graduate students and professionals in the field.

The content supports the application of FFT to large-scale problems in engineering, science, and mathematics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 October 2019
Listed Since
18 June 2019

Barcode

No barcode data available

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