Numerical methods naturally lend themselves to an object-oriented approach.
Mathematics builds high- level ideas on top of previously described, simpler ones.
Once a property is demonstrated for a given concept, it can be applied to any new concept sharing the same premise as the original one, similar to the ideas of reuse and inheritance in object-oriented (OO) methodology.
Few books on numerical methods teach developers much about designing and building good code.
Good computing routines are problem-specific.
Insight and understanding are what is needed, rather than just recipes and black box routines.
Developers need the ability to construct new programs for different applications.
Object-Oriented Implementation of Numerical Methods reveals a complete OO design methodology in a clear and systematic way.
Each method is presented in a consistent format, beginning with a short explanation and following with a description of the general OO architecture for the algorithm.
Next, the code implementations are discussed and presented along with real-world examples that the author, an experienced software engineer, has used in a variety of commercial applications.
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