iv tried about 5 times to get divide and conquer working. i can only get third age working. every time i follow install guide for DAC i get the message saying "file probably installed in wrong location" :(

My question is in the two recursive calls at line 10,11. My understanding is that the first calls for M1 at line 10 will break the L side into another L and G set, and then the next L into another L and G set, until one set remains, the the next line will run and do the same thing to the G side for M2, but now how does it do the comparisons with q? Can someone help me trace the conquer part of this algorithm?


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Most of the time, the algorithms we design will be most similar to merge sort. If we have an algorithm that takes a list and does something with each element of the list, it might be able to use divide & conquer.

Divide-and-conquer algorithms are one of the fastest and perhaps easiest ways to increase the speed of an algorithm and are useful in everyday programming. Here are the most important topics we covered in this article:

This paper contains a description an algorithm for computing four dimensional convex hulls of point sets using the divide-and-conquer paradigm. The algorithm features minimal asymptotic time and memory complexity with respect to the size of its input point set. It is based upon a fully-dual four-dimensional boundary representation (BREP) data structure called Hexblock, also developed by the author, which was inspired by Guibas' and Stolfi's quadedge data structure.

Well-structured programs usually make extensive use of functions.When a block of program code grows longer than 10-20 lines, it is agreat help to readability if the code is broken up into one or morefunctions, each one having a clear purpose. This is analogous tothe way a good essay is divided into paragraphs, each expressing one main idea.

The best known strategy is known as divide-and-conquer.We attack a problem of size n by dividing it into two problems of size n/2,solve these problems, and combine their results into a solution of the original problem.For example, suppose that we had a pile of cards with a single word written on each card.We could sort this pile by splitting it in half and giving it to two other peopleto sort (they could do the same in turn). Then, when two sorted piles come back, itis an easy task to merge them into a single sorted pile.See 4.8 for an illustration of this process.

Matrix multiplication is based on a divide and conquer-based approach. Here we divide our matrix into a smaller square matrix, solve that smaller square matrix and merge into larger results. For larger matrices this approach will continue until we recurse all the smaller sub matrices.

Suppose we have two matrices, A and B, and we want to multiply them to form a new matrix, C.

Each of the above four equations satisfies two multiplications of n/2Xn/2 matrices and addition of their n/2xn/2 products. Using these equations to define a divide and conquer strategy we can get the relation among them as: ff782bc1db

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