## What caused the British to divide India?

The partition was caused in part by the two-nation theory presented by Syed Ahmed Khan, due to presented religious issues. Pakistan became a Muslim country, and India became a majority Hindu but secular country. The population of British India in 1947 was about 570 million.

## How did British colonialism practice their divide and rule policy in India How was it similar or different from what you have studied about Nigeria?

They implemented the Divide and Rule Policy by the following ways : The British Government portrayed the Muslims as plunderers to the Hindus. They portrayed Hindu rulers as cruel kings to the Muslim subjects . They tried to justify that Bengal was partitioned for creating Muslim majority.

## Who is called the father of divide and rule policy?

It was Emperor Akbar who laid the foundation on which the Indian nation is still standing, his policy being continued by Jawaharlal Nehru and his colleagues who gave India a secular constitution.

## Who first said divide and conquer?

Julius Cesar

## What is divide and rule Class 5?

“Divide and Rule” policy is the policy under which the rulers divide people in small groups, so they cannot rebel against the state. These policies were followed by many European states in order to colonize developing or underdeveloped countries. The British used the same policy in India.

## What is divide conquer strategy?

A divide-and-conquer algorithm recursively breaks down a problem into two or more sub-problems of the same or related type, until these become simple enough to be solved directly. The solutions to the sub-problems are then combined to give a solution to the original problem.

## Where did the phrase divide and conquer come from?

Win by getting one’s opponents to fight among themselves. For example, Divide and conquer was once a very successful policy in sub-Saharan Africa. This expression is a translation of the Latin maxim, Divide et impera (“divide and rule”), and began to appear in English about 1600.

## How do you use divide and conquer?

Divide-and-conquer

- Divide the problem into a number of subproblems that are smaller instances of the same problem.
- Conquer the subproblems by solving them recursively. If they are small enough, solve the subproblems as base cases.
- Combine the solutions to the subproblems into the solution for the original problem.

## What is the other name of divide and conquer method?

Cooley–Tukey Fast Fourier Transform (FFT) algorithm is the most common algorithm for FFT. It is a divide and conquer algorithm which works in O(nlogn) time.

## What are the advantages of divide and conquer?

The advantages of using the divide and conquer paradigm is that it allows us to solve difficult problems, it helps discover efficient algorithms, and they make efficient use of memory caches.

## What is the advantage of divide and conquer procedure?

Advantages of Divide and Conquer It efficiently uses cache memory without occupying much space because it solves simple subproblems within the cache memory instead of accessing the slower main memory. It is more proficient than that of its counterpart Brute Force technique.

## What are the disadvantages of using divide and conquer?

One of the most common issues with this sort of algorithm is the fact that the recursion is slow, which in some cases outweighs any advantages of this divide and conquer process.

## Is there a case when a divide and conquer strategy may not be appropriate?

○A divide and conquer strategy may not be appropriate if the problem can’t be divided into smaller subproblems, when each smaller subproblem isn’t identical in nature, and when the solutions of the subproblems can’t be combined to solve the encompassing problem.

## Is Dynamic Programming bottom up or top down?

There are two approaches of the dynamic programming. The first one is the top-down approach and the second is the bottom-up approach.

## Which is better divide and conquer or dynamic programming?

Divide-&-conquer works best when all subproblems are independent. So, pick partition that makes algorithm most efficient & simply combine solutions to solve entire problem. Dynamic programming is needed when subproblems are dependent; we don’t know where to partition the problem.

## What is optimal substructure in dynamic programming?

In computer science, a problem is said to have optimal substructure if an optimal solution can be constructed from optimal solutions of its subproblems. This property is used to determine the usefulness of dynamic programming and greedy algorithms for a problem. This is an example of optimal substructure.

## Does Fibonacci have optimal substructure?

Dynamic Programming takes advantage of this property to find a solution. In the above example of Fibonacci Number, for the optimal solution of Nth Fibonacci number, we need the optimal solution of (N-1)th Fibonacci number and (N-2)th Fibonacci number.

## How do you define optimal substructure?

Optimal substructure means, that any optimal solution to a problem of size n , is based on an optimal solution to the same problem when considering n’ < n elements. That means, when building your solution for a problem of size n , you split the problem to smaller problems, one of them of size n’ .

## Which problems can be solved using dynamic programming?

Applications of Dynamic Programming Approach

- Matrix Chain Multiplication.
- Longest Common Subsequence.
- Travelling Salesman Problem.

## How do I start dynamic programming?

7 Steps to solve a Dynamic Programming problem

- How to recognize a DP problem.
- Identify problem variables.
- Clearly express the recurrence relation.
- Identify the base cases.
- Decide if you want to implement it iteratively or recursively.
- Add memoization.
- Determine time complexity.