Abstract
The trick to writing any useful library of source code is to build a solid foundation and work outward from it. First, a problem along with allowable solution parameters should be identified and analyzed. In this particular case, the inability to accommodate multiple precision integers is a problem. Furthermore, the solution must be written as portable source code that is reasonably efficient across several different computer platforms. After a foundation is formed, the remainder of the library can be designed and implemented in a hierarchical fashion. That is to implement the lowest level dependencies first and work toward the most abstract functions last. Furthermore, most programming languages, in particular ISO C, only have fixed precision data types that on their own cannot be used to represent values larger than their precision will allow. The purpose of multiple precision algorithms is to use fixed precision data types to create and manipulate multiple precision integers, which may represent values that are very large.
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