Final answer:
To compute the weakest precondition for each assignment statement, we can reverse-engineer the statements and determine the conditions under which the postconditions would hold. In statement (a), the weakest precondition is b > 1.5. In statement (b), the weakest precondition is c > 8. Based on these results, we can determine the weakest preconditions for each option.
Step-by-step explanation:
To compute the weakest precondition for each assignment statement, we need to reverse-engineer the statement and determine the conditions under which the postcondition would hold. Let's start with statement (a):
- We have the assignment statement a = 2 * (b - 1) - 1 and the postcondition {a > 0}.
- We want to find the weakest precondition such that when the assignment statement is executed, the postcondition would hold.
- If a > 0 after the assignment, then we can deduce that 2 * (b - 1) - 1 > 0.
- Simplifying the inequality, we get b > 1.5.
- So, the weakest precondition for statement (a) and its postcondition is b > 1.5.
We can follow a similar process for statement (b) to find its weakest precondition.
- We have the assignment statement b = (c + 10) / 3 and the postcondition {b > 6}.
- We want to find the weakest precondition such that when the assignment statement is executed, the postcondition would hold.
- If b > 6 after the assignment, then we can deduce that (c + 10) / 3 > 6.
- Simplifying the inequality, we get c + 10 > 18.
- So, the weakest precondition for statement (b) and its postcondition is c > 8.
Based on the above calculations, we can now determine the weakest preconditions for the given options:
- Option a: b > 1.5, c > 8
- Option b: b > 1.5, c < 8
- Option c: b < 1.5, c > 8
- Option d: b < 1.5, c < 8