According to wikipedia Introduction to Algorithms is also known as CLRS which is shorter (and more fair to the other authors) so I'll use that name for now on.
Question 2.1-1 asks me to redraw a previous diagram, but with different numbers. I am not going to post that here.
- Question 2.1-2 Rewrite the insertion sort procedure to sort into nonincreasing instead of nondecreasing order:
- Here is the pseudocode of the nonincreasing version of insertion sort:
for j $ \leftarrow 2$ to length[A]
do key$ \leftarrow A[j]$
$\rhd$ Insert A[j] into sorted sequence A[1..j-1]
$ i \leftarrow j - 1$
while $i \gt 0$ AND $A[i] \lt key$
do $A[i+1] \leftarrow A[i]$
$i \leftarrow i - 1$
$A[i+1] \leftarrow key$
Now we prove that this loop correctly terminates with a nonincreasing array to about the same level of formality as the book proved the original.
Initialization: At the first iteration, when $j=2$ the subarray A[1..j-1] is trivially sorted (as it has only one element).
Maintenance: In order to prove maintenance we need to show that the inner loop correctly terminates with an array with "space" for the correct element. As CLRS did not prove this property, I will also skip this proof.
Termination: this loop terminates when j > length[A] or when $j = length[A]+1$. Since we have "proven" (to some level) the maintenance of the loop invariant (that at each point during the loop the subarray [1..j-1] is sorted) we could substitute length[A]+1 for $j$ which becomes [1..length[A]] or the entire array.
This shows that the loop terminates with a correctly sorted array. - Question 2.1-3:
Input:A sequence of $n$ numbers $A = {a_1,a_2,...,a_n}$ and a value $v$.
Output: An index i such that $v = A[i]$ or a special value $\varnothing$ (NIL) if $v \notin A$
Write the pseudocode for Linear Search, which scans through the sequence looking for $v$. Using a loop invariant, prove that your algorithm is correct.
- The first part, writing the pseudocode, seems fairly easy:
$r \leftarrow \varnothing$
$j \leftarrow 1$ to length[A]
if $v = A[j] \rhd$ optionally check that $r = \varnothing$
$r \leftarrow j$
return $r$
The second part, proving that this is correct is harder than before because we don't have a trivially true initialization of our loop invariant.
Initialization: $j = 1\ \And\ r = \varnothing$ at the start of our loop. At this point there are no elements prior to A[j] and we have yet to find $v$ in A. As such our invariant (that r will contain the correct value) is true.
Maintenance: At every point in the loop the subarray A[1..j] has either contained $v$ in which case it has been assigned to $r$ or has not contained $v$ in which case $r$ remains $\varnothing$. This means that loop invariant holds for every subarray A[1..j].
Termination: At the end of the loop $j = $ length[A]. We know from our maintenance that $r$ is correct for every subarray A[1..j] so at termination $r$ contains the correct value - Question 2.1-4 Consider the problem of adding two $l$-bit binary integers, stored in two $l$-element arrays $A$ and $B$. the sum of the two integers should be stored in binary form in $(l+1)$-element array $C$. State the problem formally and write pseudocode for adding the integers.
- Stating the problem formally looks something like:
Input: Two $l$-bit integers $A$ and $B$ stored as arrays of length $l$ with the most significant bit stored last
Output: An $l+1$-bit integer ($C$) stored as arrays of length $l+1$ with the most significant bit stored last
Here is the pseudocode: $\rhd$ X is a $l$-bit array of bits initialized to all zeros in order to store the carry
for j $\leftarrow$ 1 to $l$
$C[j] \leftarrow copyC \leftarrow A[j] \oplus B[j]$
$X[j+1] \leftarrow A[j] \And B[j]$
$C[j] \leftarrow C[j] \oplus X[j] $
$X[j+1] \leftarrow copyC \oplus X[j+1] $
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