There are alot of parts in a computer system. You have to be a little specific
Answer:
It is science fiction
Explanation:
Rockets and stars relate to science
Answer:
Point A: Always True
Point B: Sometimes false
Point C: Always False
Explanation:
In the given code snippet. Point A is the first statement within the While loop the statement System.out.println("Welcome to Java!"); will only be executed if the while condition evaluates to true.
At Point B, The statement count++ increases the value of the counter at every iteration, while it will be true for most occasions, at the last increament, this statement will be false that is at count=100, The condition will be false at this point just before program execution breaks out of the loop
Point C is outside of the loop, this happens when the given condition is no longer true.
Answer:
See explaination for the program code
Explanation:
The code below
Pseudo-code:
//each item ai is used at most once
isSubsetSum(A[],n,t)//takes array of items of size n, and sum t
{
boolean subset[n+1][t+1];//creating a boolean mtraix
for i=1 to n+1
subset[i][1] = true; //initially setting all first column values as true
for i = 2 to t+1
subset[1][i] = false; //initialy setting all first row values as false
for i=2 to n
{
for j=2 to t
{
if(j<A[i-1])
subset[i][j] = subset[i-1][j];
if (j >= A[i-1])
subset[i][j] = subset[i-1][j] ||
subset[i - 1][j-set[i-1]];
}
}
//returns true if there is a subset with given sum t
//other wise returns false
return subset[n][t];
}
Recurrence relation:
T(n) =T(n-1)+ t//here t is runtime of inner loop, and innner loop will run n times
T(1)=1
solving recurrence:
T(n)=T(n-1)+t
T(n)=T(n-2)+t+t
T(n)=T(n-2)+2t
T(n)=T(n-3)+3t
,,
,
T(n)=T(n-n-1)+(n-1)t
T(n)=T(1)+(n-1)t
T(n)=1+(n-1)t = O(nt)
//so complexity is :O(nt)//where n is number of element, t is given sum
