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Emerging Spatial Information Systems and ApplicationsSpatial information systems were created manually for many years. For example, historically, the source of cholera in London in 1854 was found by John Snow, by mapping where victims of the disease lived. The graph clearly showed them to be close to the Broad Street Pump,1 one of the city’s water wells. Another example is Zipf’s Law,2... | | Practical Scientific Computing (Woodhead Publishing in Mathematics)
Scientific computing is about developing mathematical models, numerical
methods and computer implementations to study and solve real problems in science,
engineering, business and even social sciences. Mathematical modeling requires
deep understanding of classical numerical methods. There are a number of
commercial and open... | | Numerical Methods (De Gruyter Reference)
This multi-volume handbook is the most up-to-date and comprehensive reference work in the field of fractional calculus and its numerous applications. This third volume collects authoritative chapters covering several numerical aspects of fractional calculus, including time and space fractional derivatives, finite differences and finite elements,... |
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| | | | Expert F# (Expert's Voice in .Net)Expert F# is about practical programming in a beautiful language that puts the power and elegance of functional programming into the hands of .NET developers. In combination with .NET, F# achieves unrivaled levels of programmer productivity and program clarity. This books serves as
- The authoritative guide to F# by the
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| | Numerical Methods for Least Squares ProblemsThe method of least squares was discovered by Gauss in 1795. It has since become the principal tool for reducing the influence of errors when fitting models to given observations. Today, applications of least squares arise in a great number of scientific areas, such as statistics, geodetics, signal processing, and control.
In the last 20 years... | | MATLAB Matrix Algebra (Matlab Solutions)
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or... |
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