Ada programming language for numerical computation

The goal of scientific computation is reliability, accuracy, and efficiency. From the programming point of view, to provide reliable computation is to prevent overflow, underflow, and other exceptional conditions so that a program can be executed safely, completely, and efficiently. From the precision aspect, accurate computation eliminates or reduces possible computational errors that include: inherent error, error is present at the outset in original data, truncation error, error replacing finite terms for a function of infinite terms, and rounding error, an error due to finite binary internal representation of a computer system. Efficient computation is to develop an effective computational algorithm for the given problem using proper programming language features for computation. This paper addresses the use of the Ada programming to accomplish the goal of scientific computation