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Language: en
Pages: 288
Pages: 288
The main aim of this book is to present a broader view of scientific software than has been common in the past. The provision of scientific software is no longe
Language: en
Pages: 378
Pages: 378
Most of the well-known mathematical software systems are batch oriented, though in the past few years there have been attempts to incorporate ``knowledge'' or `
Language: en
Pages: 289
Pages: 289
Dependency and Structure Modelling (DSM) techniques support the management of complexity by focusing attention on the elements of a complex system and how they
Language: en
Pages: 644
Pages: 644
Language: en
Pages: 402
Pages: 402
Enabling Technologies for Computational Science assesses future application computing needs, identifies research directions in problem-solving environments (PSE
Language: en
Pages: 472
Pages: 472
An information systems manager's guide to making smart software choices includes valuable advice on selecting and developing software systems. Original.
Language: en
Pages: 212
Pages: 212
Language: en
Pages: 769
Pages: 769
The four-volume set LNCS 13350, 13351, 13352, and 13353 constitutes the proceedings of the 22ndt International Conference on Computational Science, ICCS 2022, h
Language: en
Pages: 296
Pages: 296
Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practice
Language: en
Pages: 500
Pages: 500