Consider the following SDD:

E → E1 * E2   { E.val = E1.val * E2.val }

For input:

a + bb * c

(len("a")=1, len("bb")=2, len("c")=1)

What will be the final value of E.val if evaluated with a correct dependency graph order?

Identify the answer for the following code:

for (i = 0; i < n; i++) {

Consider the following SDD for arithmetic expressions:

E → E1 + T   { E.val = E1.val + T.val }

Suppose we want to evaluate the expression a + b + c, and the symbol table contains:

If evaluation order strictly follows topological ordering of the dependency graph, what is the final computed value of E?

Procedure Call TAC

y = max(a + b, c * d);

Given the SDT rules:

S → id = E { print("assign", id.lexeme, E.val) }

For input:

x = 3 + 4 + 5