Counting Operations to Produce Polynomials In the following section, I will present you with multiple different bodies of code, and it is your job to analyze each code section and build a polynomial that represents the number of abstract operations the code performs. Once we’re done here, we’ll have built a polynomial that we will analyze further (in terms of g(x), c, 5 and k) in the next section. For the following code segments below, count the operations and produce a corresponding polynomial representation. f(x)= public static boolean isEmpty() { return head == null; }
Counting Operations to Produce Polynomials
In the following section, I will present you with multiple different bodies of code, and it is your job to analyze each code section and build a polynomial that represents the number of abstract operations the code performs. Once we’re done here, we’ll have built a polynomial that we will analyze further (in terms of g(x), c, 5 and k) in the next section. For the following code segments below, count the operations and produce a corresponding polynomial representation.
f(x)=
public static boolean isEmpty() {
return head == null;
}
f(x)
public static int num_occurrences(int n) {
int count = 0;
for(int i = 0; i < n; i++) {
for(int j = 0; j < n; j++) {
if( i == j ) continue;
if(strings[i] == strings[j]) {
count++;
}
}
}
return count;
}
f(x)
public static void c(int n) {
for(int a = 0; a < n; a++) {
System.out.println( a * a);
}
num_occurrences(n);
}
f(x)
public static boolean isPrime(int n) {
if(n == 1) return false;
for(int i = 2; i <n; i++) {
if( n % i == 0 ) {
return false;
}
}
return true;
}
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