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An Object-Oriented code or coding refers to a technique of programming that utilizes the identification of classes of objects that are closely tied to the functions with which they are related.
<h3>What is a Procedural Oriented Code?</h3>
This refers to a kind of programming language that utilizes a step-by-step method so as to break down a task into a set or a collection of factors or variables and routines or sub-routines using a set of instructions that are sequential.
Objects in programming refer to a type of abstract data that has a state and behavior. It is a specific instance of a class.
A class in programming is a templated definition of the techniques and variables of a certain type of object.
<h3>What are some of the principles and structures of coding?</h3>
There are 10 principles of coding. Some of them are:
- Keep it simple
- Separate concerns
- Document your Code etc.
Some of these principles can be used in normal day-to-day activity and even in business. item 1 for instance can be used during communication. Effective communication is more effective when it is kept very simple.
It is to be noted that the code referenced in the question is unavailable hence the general answer.
Learn more about Object-Oriented Code at:
brainly.com/question/4560494
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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
