Difference between revisions of "Brute forcing"

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Brute forcing is generally accepted as the term for solving a problem in a roundabout, time-consuming, and inconvenient method.
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Brute forcing is the method of completing a problem in the most straightforward way possible, through bashing calculations, and can actually sometimes be faster than a more creative approach, and is thus an important tool to have.  
  
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Given the problem "How many outfits can you create with thirteen hats and seven pairs of shoes?", a method involving brute force would be to list all 91 possibilities (although this would not be a smart time to use brute force).
  
Given the problem "How many outfits can you create with thirteen hats and seven shoes?", a method involving brute force would be to list all 91 possibilities.
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Another method of brute force is the [[Greedy Algorithm]]. As an example, given two sets <math>\{{a}_1,{a}_2,\ldots,{a}_n\}</math> and <math>\{b_1,b_2,\ldots,b_n\}</math> how can we maximize the sum of <math>\sum_{i,j \in n} a_ib_j</math>? We sort the sets such that they are in increasing or decreasing order; then, the maximal sum is <math>a_1b_1 + a_2b_2 + a_3b_3 + \ldots a_nb_n</math>.  The "greedy" part is when we maximize the sum each step by taking the largest possible term to add.
  
Another method of bruteforce is the Greedy Algorithm. As an example, given two sets <math>\{a_1,a_2,\ldots,a_n\}</math> and <math>\{b_1,b_2,\ldots,b_3\}</math> how can we maximize the sum of <math>\sum_{i,j \in n} a_ib_j</math> ? We sort the sets such that they are in increasing or decreasing order; then, the maximal sum is <math>a_1b_1 + a_2b_2 + a_3b_3 + \ldots a_nb_n</math>.  The "greedy" part is when we maximize the sum each step by taking the largest possible term to add.
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See the [[Rearrangement Inequality]] for consequences of the example (and a more formal proof).
  
See the [[Rearrangment Inequality]] for consequences of the example(and a more formal proof).
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== See also ==
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* [[Casework]]

Latest revision as of 12:22, 5 May 2023

Brute forcing is the method of completing a problem in the most straightforward way possible, through bashing calculations, and can actually sometimes be faster than a more creative approach, and is thus an important tool to have.

Given the problem "How many outfits can you create with thirteen hats and seven pairs of shoes?", a method involving brute force would be to list all 91 possibilities (although this would not be a smart time to use brute force).

Another method of brute force is the Greedy Algorithm. As an example, given two sets $\{{a}_1,{a}_2,\ldots,{a}_n\}$ and $\{b_1,b_2,\ldots,b_n\}$ how can we maximize the sum of $\sum_{i,j \in n} a_ib_j$? We sort the sets such that they are in increasing or decreasing order; then, the maximal sum is $a_1b_1 + a_2b_2 + a_3b_3 + \ldots a_nb_n$. The "greedy" part is when we maximize the sum each step by taking the largest possible term to add.

See the Rearrangement Inequality for consequences of the example (and a more formal proof).

See also