Why was India divided into two nations quizlet?

Why was India divided into two nations quizlet?

Jinnah and others feared that Muslims rights would not be respected in a country dominated by Hindus. Parliament passed it and Britain no longer was in control of the subcontinent. They set up partition of subcontinent into 2 separate independent nations known as Pakistan and India.

Why was India divided into two independent countries?

The need for a partition of the new country came about as Hindus and Muslims in India were deeply divided and unwilling to coexist in the same nation. It was agreed between British Prime Minister Clement Attlee and the Indian leaders that two nations should be created, one for Muslims and another for Hindus.

What are the three parts of divide and conquer approach?

You should think of a divide-and-conquer algorithm as having three parts:

• Divide the problem into a number of subproblems that are smaller instances of the same problem.
• Conquer the subproblems by solving them recursively.
• Combine the solutions to the subproblems into the solution for the original problem.

What are the advantages of divide and conquer?

Advantages of Divide and Conquer Algorithm

• The complexity for the multiplication of two matrices using the naive method is O(n3) , whereas using the divide and conquer approach (i.e. Strassen’s matrix multiplication) is O(n2.8074) .
• This approach is suitable for multiprocessing systems.
• It makes efficient use of memory caches.

How do you solve divide and conquer problems?

A typical Divide and Conquer algorithm solves a problem using following three steps.

1. Divide: Break the given problem into subproblems of same type.
2. Conquer: Recursively solve these subproblems.
3. Combine: Appropriately combine the answers.

What are the applications of divide and conquer techniques?

Application of Divide and Conquer Approach

• Finding the maximum and minimum of a sequence of numbers.
• Strassen’s matrix multiplication.
• Merge sort.
• Binary search.

• Solving difficult problems.
• Algorithm efficiency.
• Parallelism.
• Memory access.
• Roundoff control.

Why is divide and conquer faster?

Most algorithms that have a divide and conquer solution end up being faster for a similar reason. The brute-force algorithm takes O(n) time and uses O(1) space as it does a linear scan over the data. The divide-and-conquer algorithm is given here: If the array has just one element, that’s the maximum.

Can we divide problem into more than 2 sub-problems?

Phases of Divide and Conquer Divide: Dividing the problem into two or more than two sub-problems that are similar to the original problem but smaller in size. Conquer: Solve the sub-problems recursively. Combine: Combine these solutions to subproblems to create a solution to the original problem.

Why is divide and conquer nLogn?

The algorithm divides the array into two halves, recursively sorts them, and finally merges the two sorted halves. The time complexity of this algorithm is O(nLogn) , be it best case, average case or worst case. The Divide and Conquer algorithm solves the problem in O(nLogn) time.

Which of the following is not based on divide and conquer?

Discussion Forum

Que. Which one of the below is not divide and conquer approach?
b. Merge Sort
c. Shell Sort
d. Heap Sort

Is quick sort divide and conquer?

Overview of quicksort. Like merge sort, quicksort uses divide-and-conquer, and so it’s a recursive algorithm. The way that quicksort uses divide-and-conquer is a little different from how merge sort does. In merge sort, the divide step does hardly anything, and all the real work happens in the combine step.

Is heap sort divide and conquer?

Heap sort has the time complexity of a ‘divide and conquer’ algorithm (such as quick sort), but it does not behave like a divide and conquer algorithm. Because it splits the data into a ‘sorted’ section and an ‘unsorted’ section, it is really a kind of selection sort.

Why heap sort is used?

The Heap sort algorithm is widely used because of its efficiency. Heap sort works by transforming the list of items to be sorted into a heap data structure, a binary tree with heap properties. In a binary tree, every node has, at most, two descendants.

Quicksort

Is heap sort in place?

A run of heapsort sorting an array of randomly permuted values. In the first stage of the algorithm the array elements are reordered to satisfy the heap property. Heapsort is an in-place algorithm, but it is not a stable sort.