The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
Computer Interval Arithmetic: Definition and Proof of Correct Implementation
Journal of the ACM (JACM)
Certification of algorithm 245 [M1]:treesort 3:proof of algorithms—a new kind of certification
Communications of the ACM
An axiomatic basis for computer programming
Communications of the ACM
Certification of algorithm 147 [S14]: PSIF
Communications of the ACM
Communications of the ACM
Hi-index | 48.22 |
In his Certification of Algorithm 245 [1], Ralph L. London exhibits a common confusion between an algorithm, its representation, and its implementation on a processor—a code. In the present state of the art we can attempt, in general, to prove an algorithm and to test a code. For example, London states that “… the algorithm TREESORT 3 [2] is proved to perform properly its claimed task of sorting an array M[1:n] into ascending order.” While this is true of the algorithm, it is not true of the code unless we place restrictions on the array elements. The trouble arises in this example from the finite precision of processors; the Boolean expression A ≥ B (real A, B) will usually be implemented as A - B ≥ 0, which can fail due to floating point overflow or underflow.