Problem 4: Code Identification For each of the following rows Identify the algorithm and the problem that it solves. (There is exactly one algorithm from our course that fits.) ● State the time complexity of the entire algorithm, not just the snippet displayed If you see "alg" in a question, assume it is a reference to the algorithm containing the snippet Code Snippet for k in range (V): for i in range (V): for j in range (V): if d[i] [k] + d[k][j] < d[i][j]: d[i][j] = d[i][k] + d[k] [j] pos= 10 + ((hi-lo) // (arr [hi]-arr[lo]) * (x-arr [10])) if arr [pos] == x: return pos elif arr [pos] < x: return alg (arr, pos + 1, hi, x) elif arr [pos] > x: return alg (arr, lo, pos - 1, x) for each edge (u, v) in E: if D[u] + C[u] [v] < D[v]: print ("Graph contains a negative-weight cycle") for (v = t; v != s; v parent [v]): u = parent [v] residual_graph [u] [v] throughput residual graph[v][u] += throughput for i in range (M) : p = (d*p+ ord (pat[i])) % q t = (d*t + ord (txt [i])) % q if hi-lo + 1 > 2: t = int((hi-lo + 1)/3) alg (arr, lo, hi-t) alg (arr, lo + t, hi) alg (arr, lo, hi-t) for i in range (n) : if rem >= weight [i]: rem rem - weight [i] else: res + 1 rem == C- weight [i] Name of Algorithm and Problem Solved Time Complexity

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Please help me with these Review questions with as much explanation as possible. I really need to understand this

Problem 4: Code Identification
For each of the following rows
Identify the algorithm and the problem that it solves. (There is exactly one algorithm from our course that fits.)
● State the time complexity of the entire algorithm, not just the snippet displayed
If you see "alg" in a question, assume it is a reference to the algorithm containing the snippet
Code Snippet
●
for k in range (V):
for i in range (V):
for j in range (V):
if d[i][k] + d[k] [j] < d[i][j]:
d[i][j] d[i] [k]d[k] [j]
((hi-lo) // (arr [hi]-arr [lo]) (x-arr [lo] ) )
=
pos
if arr [pos]
★
lo
return pos
elif arr [pos] < x:
return alg (arr, pos + 1, hi, x)
elif arr [pos] > x:
return alg (arr, lo, pos
1, x)
X:
for each edge (u, v) in E:
if D[u] + C[u] [v] < D[v]:
print("Graph contains a negative-weight cycle")
for (v = t; v != s; v = parent [v]):
u =
parent [v]
residual_graph [u] [v] throughput
residual graph [v] [u] += throughput
for i in range (M) :
(d*p + ord (pat[i])) % q
р
t = (d*t + ord (txt[i])) % q
if hi-lo + 1 > 2:
t = int ((hi-lo + 1)/3).
alg (arr, lo, hi-t)
alg (arr, lo + t, hi)
alg (arr, lo, hi-t)
for i in range (n) :
if rem >= weight [i]:
else:
==
rem = rem weight [i]
res += 1
rem
с weight [i]
Name of Algorithm
and Problem Solved
Time
Complexity
Transcribed Image Text:Problem 4: Code Identification For each of the following rows Identify the algorithm and the problem that it solves. (There is exactly one algorithm from our course that fits.) ● State the time complexity of the entire algorithm, not just the snippet displayed If you see "alg" in a question, assume it is a reference to the algorithm containing the snippet Code Snippet ● for k in range (V): for i in range (V): for j in range (V): if d[i][k] + d[k] [j] < d[i][j]: d[i][j] d[i] [k]d[k] [j] ((hi-lo) // (arr [hi]-arr [lo]) (x-arr [lo] ) ) = pos if arr [pos] ★ lo return pos elif arr [pos] < x: return alg (arr, pos + 1, hi, x) elif arr [pos] > x: return alg (arr, lo, pos 1, x) X: for each edge (u, v) in E: if D[u] + C[u] [v] < D[v]: print("Graph contains a negative-weight cycle") for (v = t; v != s; v = parent [v]): u = parent [v] residual_graph [u] [v] throughput residual graph [v] [u] += throughput for i in range (M) : (d*p + ord (pat[i])) % q р t = (d*t + ord (txt[i])) % q if hi-lo + 1 > 2: t = int ((hi-lo + 1)/3). alg (arr, lo, hi-t) alg (arr, lo + t, hi) alg (arr, lo, hi-t) for i in range (n) : if rem >= weight [i]: else: == rem = rem weight [i] res += 1 rem с weight [i] Name of Algorithm and Problem Solved Time Complexity
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