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Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
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Computational Science and its Applications (Hardcover)
Loot Price: R4,488
Discovery Miles 44 880
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Computational Science and its Applications (Hardcover)
Expected to ship within 12 - 19 working days
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Computational science is a rapidly growing multidisciplinary field
concerned with the design, implementation, and use of mathematical
models to analyze and solve real-world problems. It is an area of
science that spans many disciplines and which involves the
development of models and allows the use of computers to perform
simulations or numerical analysis to understand problems that are
computational and theoretical. Computational Science and its
Applications provides an opportunity for readers to develop
abilities to pose and solve problems that combine insights from one
or more disciplines from the natural sciences with mathematical
tools and computational skills. This requires a unique combination
of applied and theoretical knowledge and skills. The topics covered
in this edited book are applications of wavelet and fractals,
modeling by partial differential equations on flat structure as
well as on graphs and networks, computational linguistics,
prediction of natural calamities and diseases like epilepsy
seizure, heart attack, stroke, biometrics, modeling through inverse
problems, interdisciplinary topics of physics, mathematics, and
medical science, and modeling of terrorist attacks and human
behavior. The focus of this book is not to educate computer
specialists, but to provide readers with a solid understanding of
basic science as well as an integrated knowledge on how to use
essential methods from computational science. Features: Modeling of
complex systems Cognitive computing systems for real-world problems
Presentation of inverse problems in medical science and their
numerical solutions Challenging research problems in many areas of
computational science This book could be used as a reference book
for researchers working in theoretical research as well as those
who are doing modeling and simulation in such disciplines as
physics, biology, geoscience, and mathematics, and those who have a
background in computational science.
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