Answer: Function
Explanation: <em>"Function is a criterion that is met when the part performs its stated purpose effectively and reliably. In an electronics product, for example, function can depend on the solid-state components used, the software or firmware, and quite often on the features of the electronics enclosure selected. Poorly placed or sized ports and misleading or missing labeling are two of the most common ways in which an enclosure can fail the function criterion."</em>
Answer:
Chech the explanation
Explanation:
<em>In [16]:</em>
<em />
# Your answer to this question might be written on more than a line.
datascience_trials = make_array()
for i in np.arange(1000):
datascience_trials = np.append(datascience_trials, simulate_several_key_strikes(1))
datascience_proportion = np.count_nonzero(datascience_trials == 'datascience')/1000
datascience_proportion
<em>Out [16]:</em>
0.0
<em>In [17]:</em>
_ = ok.grade('q2_4')
````````````````````````````````````````````````````````````````````````````````````````````````````````
#Running tests
Answer:
public static void swapPairs(int[] a){
int len=a.length;
if(len%2 ==0){
for(int i=0; i<len; i=i+2){
a[i]=a[i+1];
a[i+1]=a[i];
int[] b={a[i]+a[i+1]};
}
}
if(len%2 !=0){
for(int j=0; j<len; j=j+2){
a[j]=a[j+1];
a[j+1]=a[j];
a[len-1]=a[len-1];
int[] b={a[j]+a[j+1]+a[len-1]};
}
}
}
public static void printArray(int[] a){
System.out.println(a);
}
Storing memory maybe hope thishelped
Answer: Backtracking
Explanation:
Backtracking algorithm approaches a solution in a recursive fashion whereby it tries to build answers and modify them in time intervals as we progress through the solution. One such backtracking algorithm is the N Queen problem whereby we place N Queen in a chessboard of size NxN such that no two queens attack each other. So we place a queen and backtrack if there is a possibility that the queen is under attack from other queen. This process continues with time and thereby it tends to extend a partial solution towards the completion.