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1. Top results related to brute force algorithm

   • Brute Force Algorithm

     Top Answer

     Answered Dec 20, 2012 · 0 votes

     Ok, so I just found an example what I wanted to do in C++ and I've managed to convert it to the following Visual Basic .NET code, which works perfectly. However the output seems a bit slow and I'd have thought the program would have used near 100% processing power, but it isn't. Could somebody tell me why this is and how I could change it please?

     Public Class Form1 Dim chars() As Char = "1234567890abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYX".ToCharArray Dim csize As Integer = chars.Length - 1 Dim upto As String Private Sub btnGo_Click(ByVal sender As System.Object, ByVal e As System.EventArgs) Handles btnGo.Click upto = " " Dim max_length As Integer = 50 For i = 1 To max_length bf_recursion(0, i) Update() Next End Sub Private Sub bf_recursion(ByVal index As Integer, ByVal depth As Integer) Dim current() As Char = upto.ToCharArray() For i = 0 To csize current(index) = chars(i) upto = CStr(current) Console.WriteLine(CStr(current)) '\\lblOutput.Text = CStr(current) If index <> (depth - 1) Then bf_recursion(index + 1, depth) End If Next End SubEnd Class

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     1/5

   • Brute force algorithm and string matching?

     Top Answer

     Answered Feb 19, 2017 · 0 votes

     So I think I've written up a pretty helpful program that might help you out. As @Scovetta mentioned, we can use Python's in operator. However, if you're adamant on using a brute force method and not using Python's nice syntactic sugar, then you can definitely do that.

     Here is an example program I wrote up. Let me know if this helps! Feel free to ask any questions that you might have.

     # This program is just going to find if a string contains a substringdef match(text, pattern): ''' Simple match program ''' if pattern in text: return True else: return Falsetest_cases = [['ab', 'bab'], ['cat', 'catdog'], ['banana', 'apple'], ['tree', 'tree']]def brute_match(text,pattern): ''' We just want to check that our text has our pattern So let's just iterate over our text ''' length_of_pattern = len(pattern) for i in range(len(text)): # Abuse python's splicing because we don't have to worry about end of the string nonsense if text[i:length_of_pattern+i] == pattern: return True return Falsefor case in test_cases: ans = match(case[1], case[0]) bans = brute_match(case[1], case[0]) print("{} is in {} (T/F): {}".format(case[0], case[1], ans)) print("{} is in {} (T/F): {}".format(case[0], case[1], bans))# Enter your main program # We want to loop infinitely unless we get qqqwhile True: text_string = raw_input("Please enter your text string: ") if text_string == 'qqq': break pattern_string = raw_input("Please enter your pattern string: ") print("Using 'in' operator:") print('-'*20) if match(text_string): print("IS a valid match") else: print("NOT a valid match") print("Using brute force:") print('-'*20) if brute_match(text_string): print("IS a valid match") else: print("NOT a valid match")

     I realize the code is a bit messy, but I just wanted to write it up quick for ya!

     Let me know if you have any questions.

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     2/5

   • Brute force algorithm for the Traveling Salesman Problem in Java

     Top Answer

     Answered Jul 28, 2012 · 6 votes

     You should remove cities from the route after the recursive call returns. You do this:

     Route newRoute = r; newRoute.addToRoute(citiesNotInRoute.get(i)); BruteForceFindBestRoute(newRoute);-

     but never a newRoute.removeFromRoute or similar.

     Note that you are writing Java, and in Java, an assignment of an object is done by reference. Which means that r and newRoute are the same object. newRoute is not an independent copy of r as you might expect. So any modification to newRoute will change r as well. You might want to explicitely copy your route there. The Java term for this is clone. Make sure your clone is deep enough, i.e. you clone all relevant data structures, instead of sharing them between the original and its clone.

     Note: There are many places where you might make your code more efficient, but as brute force is far from efficient in any case, and you're only talking about few cities, perhaps you don't have to care. If you want to investigate alternatives, though, consider maintaining a single linked list of all unvisited cities. Each call would loop over that list, remove an element, recurse and put the element back. No need to build this list from scratch in each invocation. The idea of dancing links could be neatly applied to this task, as an alternative to premade linked list implementations.

     EDIT:

     The following variation of your code works for me:

     import java.util.*;-class SO11703827 {- private static ArrayList<Integer> bestRoute; public static void bruteForceFindBestRoute (ArrayList<Integer> r, ArrayList<Integer> citiesNotInRoute) { if(!citiesNotInRoute.isEmpty()) { for(int i = 0; i<citiesNotInRoute.size(); i++) { Integer justRemoved = (Integer) citiesNotInRoute.remove(0); ArrayList<Integer> newRoute = (ArrayList<Integer>) r.clone(); newRoute.add(justRemoved); bruteForceFindBestRoute(newRoute, citiesNotInRoute); citiesNotInRoute.add(justRemoved); } } else //if(citiesNotInRoute.isEmpty()) { if(isBestRoute(r)) bestRoute = r; } } private static boolean isBestRoute(ArrayList<Integer> r) { System.out.println(r.toString()); return false; } public static void main(String[] args) { ArrayList<Integer> lst = new ArrayList<Integer>(); for (int i = 0; i < 6; ++i) lst.add(i); ArrayList<Integer> route = new ArrayList<Integer>(); bruteForceFindBestRoute(route, lst); }}

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     3/5

   • Brute force method algorithm python

     Top Answer

     Answered Oct 02, 2019 · 0 votes

     This would be done with a for loop, after getting the length of each of the lists and using that as the count.

     list1 = [[1,2,3,4],[3,4],[1,3,4,8,9]]length1 = len(list1[0])length2 = len(list1[1])length3 = len(list1[2])for a in range(0,length1): for b in range(0,length2): for c in range(0,length3): print(list1[0][a] + list1[1][b] + list1[2][c])

     What this does is take the length of each sublist, then iterates over that length, and prints the result.

     To then modulo the answer and find the biggest modulus, you'd need to put that inside the third for loop, aka:

     max = 0 #this should be outside all of the for loops- for c in range(0,length3): result = list1[0][a] + list1[1][b] + list1[2][c] if result % 7 > max: max = result % 7

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     4/5

   • Also try

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     brute force algorithm java	brute force algorithm in data structure

     5/5

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2. www.freecodecamp.org › news › brute-force-algorithms-explainedBrute Force Algorithms Explained - freeCodeCamp.org

   www.freecodecamp.org › news › brute-force-algorithms-explained

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   Jan 6, 2020 · Brute Force Algorithms are exactly what they sound like – straightforward methods of solving a problem that rely on sheer computing power and trying every possibility rather than advanced techniques to improve efficiency. For example, imagine you have a small padlock with 4 digits, each from 0-9.

3. www.scholarhat.com › tutorial › datastructuresBrute Force Algorithm in Data Structures: Types ... - ScholarHat

   www.scholarhat.com › tutorial › datastructures

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   Here's a general outline of the brute force algorithm: Define the problem: Clearly understand the problem you are trying to solve and the constraints involved. Enumerate all possible solutions: Generate or iterate through all possible candidates for the solution.

4. www.geeksforgeeks.org › brute-force-approach-and-its-pros-and-consBrute Force Approach and its pros and cons - GeeksforGeeks

   www.geeksforgeeks.org › brute-force-approach-and-its-pros-and-cons

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   Jan 18, 2024 · A brute force algorithm is a simple, comprehensive search strategy that systematically explores every option until a problem’s answer is discovered. It’s a generic approach to problem-solving that’s employed when the issue is small enough to make an in-depth investigation possible.

5. en.wikipedia.org › wiki › Brute-force_searchBrute-force search - Wikipedia

   en.wikipedia.org › wiki › Brute-force_search

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   In computer science, brute-force search or exhaustive search, also known as generate and test, is a very general problem-solving technique and algorithmic paradigm that consists of systematically checking all possible candidates for whether or not each candidate satisfies the problem's statement.

6. www.codecademy.com › cspath-cs-102 › modulesCS102: Data Structures and Algorithms: Brute Force Algorithms ...

   www.codecademy.com › cspath-cs-102 › modules

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   A brute force algorithm solves a problem through exhaustion: it goes through all possible choices until a solution is found. The time complexity of a brute force algorithm is often proportional to the input size.

7. leetcodethehardway.com › tutorials › basic-topicsBrute Force | LeetCode The Hard Way

   leetcodethehardway.com › tutorials › basic-topics

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   The brute force method for solving a problem involves using a simple and straightforward approach to solve the problem, without worrying about optimization. This method is often used as a starting point for solving a problem, as it can help to understand the problem better and develop a basic understanding of its requirements.

8. artofproblemsolving.com › wiki › indexBrute forcing - Art of Problem Solving

   artofproblemsolving.com › wiki › index

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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.

9. textbooks.cs.ksu.edu › cc310 › 4-data-structures-and-algorithmsBrute Force :: CC 310 Textbook - Kansas State University

   textbooks.cs.ksu.edu › cc310 › 4-data-structures-and-algorithms

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   Simply put, a brute force algorithm will try all possible solutions to the problem, only stopping when it finds one that is the actual solution. A great example of a brute force algorithm in action is plugging in a USB cable.

10. algodaily.com › lessons › coming-up-with-brute-force-algorithms-with-examplesComing Up With Brute Force Algorithms With Examples

    algodaily.com › lessons › coming-up-with-brute-force-algorithms-with-examples

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    Brute force algorithms are akin to breaking open a combination lock by trying every possible combination. They rely on repetitive computation and checking all possibilities to arrive at a solution. It's a raw and straightforward approach that doesn't rely on clever shortcuts or advanced mathematics. Uses.

11. www.codingame.com › learn › brute-forceBrute-force: exercises and theory - CodinGame

    www.codingame.com › learn › brute-force

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    In computer science, brute-force search or exhaustive search, also known as generate and test, is a very general problem-solving technique that consists of systematically enumerating all possible candidates for the solution and checking whether each candidate satisfies the problem's statement.