Since Anil needs to show the overlap of people who live in a certain neighborhood in his city that supports a specific political candidate, the type of conceptual diagram which he should use is a: B: Venn diagram.
<h3>What is a Venn diagram?</h3>
A Venn diagram can be defined as a circular graphical (visual) tool that is typically used for representing, logically comparing and contrasting two (2) or more finite sets of data such as objects, students, events, voters, concepts, people, etc.
In this context, we can reasonably infer and logically deduce that a Venn diagram is a type of conceptual diagram which can be used by Anil in illustrating the overlap of people who are living in a certain neighborhood in his city and supports a specific political candidate in an election.
Read more on Venn diagram here: brainly.com/question/24581814
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Answer:
The answer is "WWW".
Explanation:
WWW stands for World Wide Web, It is a combination of all Internet resources and users, that uses the hypertext transfer protocol. It provides world information that is available on the internet that is the expression of human knowledge. It is also known as a domain name that introduces resources or individual instances of the entire collection.
Shuffle (A[1..m], B[1..n], C[1..m+n]):
Shuf[0, 0] ← True
for j ← 1 to n
Shuf[0, j] ← Shuf[0, j − 1] ∧ (B[j] = C[j])
for i ← 1 to n
Shuf[i, 0] ← Shuf[i − 1, 0] ∧ (A[i] = B[i])
for j ← 1 to n
Shuf[i, j] ← False
if A[i] = C[i + j]
Shuf[i, j] ← Shuf[i, j] ∨ Shuf[i − 1, j]
if B[i] = C[i + j]
Shuf[i, j] ← Shuf[i, j] ∨ Shuf[i, j − 1]
return Shuf[m, n]
The algorithm runs in O(mn) time.
Sales reports,employee records,logged passwords somebody has already asked this question
Answer:
see explaination
Explanation:
MaxArray.java
public class MaxArray{
public static void main(String[] args) {
int a[] = {1,2,5,4,3};
int max = max (a, 5);
System.out.println("Max value is "+max);
}
public static int max (int a[],int size){
if (size > 0) {
return Math.max(a[size-1], max(a, size-1));
} else {
return a[0];
}
}
}
Output:
MaxArray
