Follow the code below to determine an LCS (Longest Common Subsequence) of < 1, 0, 0, 1, 0, 1, 0, 1 > and < 0, 1, 0, 1, 1, 0, 1, 1,0 >. Please show the 2-D table c and b (as copied below from the textbook Introduction to Algorithms, by T. Cormen, C.E. Leiserson, R. L. Rivest) as being used in the pseudocde LCS-Length. Note the 2-D tbale b is set so that b[i, j] points to the table entry corresponding to the optimal subproblem solution chosen when computing c[i, j].
Follow the code below to determine an LCS (Longest Common Subsequence) of < 1, 0, 0, 1, 0, 1, 0, 1 > and < 0, 1, 0, 1, 1, 0, 1, 1,0 >. Please show the 2-D table c and b (as copied below from the textbook Introduction to Algorithms, by T. Cormen, C.E. Leiserson, R. L. Rivest) as being used in the pseudocde LCS-Length. Note the 2-D tbale b is set so that b[i, j] points to the table entry corresponding to the optimal subproblem solution chosen when computing c[i, j].
Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![Follow the code below to determine an LCS (Longest Common Subsequence) of < 1, 0, 0, 1, 0, 1, 0, 1 >
and < 0, 1, 0, 1, 1, 0, 1, 1,0 >. Please show the 2-D table c and b (as copied below from the textbook
Introduction to Algorithms, by T. Cormen, C.E. Leiserson, R. L. Rivest) as being used in the pseudocde
LCS-Length. Note the 2-D tbale b is set so that b[i, j] points to the table entry corresponding to the
optimal subproblem solution chosen when computing c[i, j].
LCS-LENGTH(X, Y)
1 m = X.length
2
n = Y.length
3
let b[1..m, 1..n] and c[0.. m, 0..n] be new tables
4
for i 1 to m
5
c[i,0] = 0
6 for j = 0 to n
c[0, j] = 0
7
8 for i 1 to m
9
10
11
c[i, j] = c[i-1, j - 1] +1
b[i, j] = ""
12
13
14
15
16
17
18 return c and b
for j = 1 to n
if x₁ == yj
elseif c[i-1, j]c[i, j - 1]
c[i, j] = c[i − 1, j]
b[i, j] = "1"
else c[i, j] = c[i, j - 1]
b[i, j] = ""](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3935a5a6-1355-4442-a788-b5eb7b8f90d8%2F68bc6c31-e0fe-4b6b-ab7d-7d9279b04a43%2F1i5w8hb_processed.png&w=3840&q=75)
Transcribed Image Text:Follow the code below to determine an LCS (Longest Common Subsequence) of < 1, 0, 0, 1, 0, 1, 0, 1 >
and < 0, 1, 0, 1, 1, 0, 1, 1,0 >. Please show the 2-D table c and b (as copied below from the textbook
Introduction to Algorithms, by T. Cormen, C.E. Leiserson, R. L. Rivest) as being used in the pseudocde
LCS-Length. Note the 2-D tbale b is set so that b[i, j] points to the table entry corresponding to the
optimal subproblem solution chosen when computing c[i, j].
LCS-LENGTH(X, Y)
1 m = X.length
2
n = Y.length
3
let b[1..m, 1..n] and c[0.. m, 0..n] be new tables
4
for i 1 to m
5
c[i,0] = 0
6 for j = 0 to n
c[0, j] = 0
7
8 for i 1 to m
9
10
11
c[i, j] = c[i-1, j - 1] +1
b[i, j] = ""
12
13
14
15
16
17
18 return c and b
for j = 1 to n
if x₁ == yj
elseif c[i-1, j]c[i, j - 1]
c[i, j] = c[i − 1, j]
b[i, j] = "1"
else c[i, j] = c[i, j - 1]
b[i, j] = ""
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