2017-04-19

Apr 19 In-Class Exercise .

Please post your solutions to the Apr 19 In-Class Exercise to this thread.

Best, Chris

Please post your solutions to the Apr 19 In-Class Exercise to this thread. Best, Chris

-- Apr 19 In-Class Exercise

For the binary decision graph f(x), reduce all outputs to point to two nodes, one for accepting and one for rejecting. Now, replace the accepting node on f(x) with the entire graph g(y).

For the binary decision graph f(x), reduce all outputs to point to two nodes, one for accepting and one for rejecting. Now, replace the accepting node on f(x) with the entire graph g(y).

-- Apr 19 In-Class Exercise

When f(x) has an output node as 1, replace that output node with the starting node for g(x).

When f(x) has an output node as 1, replace that output node with the starting node for g(x).

-- Apr 19 In-Class Exercise

given binary decision graphs f(x) and g(y), replace the accepting node of f(x) with the graph g(y) and point the rejecting node of g(y) to rejecting node of f(x)

given binary decision graphs f(x) and g(y), replace the accepting node of f(x) with the graph g(y) and point the rejecting node of g(y) to rejecting node of f(x)

-- Apr 19 In-Class Exercise

To solve run g(x) on f(x) = 1.

To solve run g(x) on f(x) = 1.
2017-04-21

-- Apr 19 In-Class Exercise

We can reduce binary decision graph's t reuse nodes, such that g(n) would use the same nodes for 1 and 0, which could be done in time(f(n))+time(g(n))

We can reduce binary decision graph's t reuse nodes, such that g(n) would use the same nodes for 1 and 0, which could be done in time(f(n))+time(g(n))
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