a note on a standard strategy for developing loop invariants ... - TWiki
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a note on a standard strategy for developing loop invariants ... - TWiki
we proceed to illustrate a more difficult part of the strategy using two examples. ... TO illustrate the strategy for developing a loop, let us develop an algorithm for.
Science of Computer North-Holland
Programming
207
2 (1982) 207-214
A NOTE ON A STANDARD STRATEGY FOR DEVELOPING LOOP INVARIANTS AND LOOPS David
GRIES
Department of Computer Science, Cornell University, Ithaca, NY 14853, U.S.A.
Communicated by M. Sintzoff Received December 1982 Revised March 1983
Abstract. A by-now-standard strategy for developing a loop invariant and loop was developed in [l] and explained in [2]. Nevertheless, its use still poses problems for some. The purpose of this paper is to provide further explanation. Two problems are solved that, without this further explanation, seem difficult.
1. Introduction A standard strategy for developing a loop invariant and loop can indeed be powerful in the hands of one who understands it fully. Those with less experience, however, have difficulty applying it in the seemingly complex situations where it is really needed. This may be due, at least partially, to the way the strategy is presented. The purpose of this note is to present the strategy in a slightly different and less formal manner. We begin by discussing the proof of correctness of a loop. We then develop a rather trivial algorithm in order to describe the strategy in its simplest form. Finally, we proceed
to illustrate
a more difficult part of the strategy
using two examples.
2. Proving a loop correct E.W. Dijkstra’s guarded command loop with precondition Q and postcondition R, (Q} do B + S od {R}, is proved correct using an invariant relation P and a bound function t, which gives an upper bound on the number of iterations still to perform (see e.g. [l, 21): (1) P is true initially: Q*P; (2) P is a loop invariant: P A B dwp(S, P); (3) Upon termination R is true: P A 1 B JR ; (4) If another iteration can be performed, then t > 0: P A B Jt > 0; (5) t is decreased by at least one with each iteration: using a fresh variable we have {PAB}tl:=t;S{t