nlogn algorithm for n/2 matching numbers

100%

nlogn algorithm for n/2 matching numbers

✓ Published1🌍 Public

Last edited Sep 23, 2021

Created on Sep 23, 2021

This example visualizes the search for majority elements in an array, specifically highlighting matches for the number 4 in a test array of six integers. It demonstrates a divide-and-conquer algorithm that repeatedly halves the array length while logging matching indices and values to the console. The plain HTML page contains no visible graphical output; instead, the visualization is purely console-based, using JavaScript’s native `console.log` to display results from the custom `matchNo` function. The implementation relies on basic array indexing and arithmetic operations rather than external libraries, rendering the algorithm’s step-by-step progression through text output alone.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of Fork of nlogn algorithm for n/2 matching numbers : with psuedocode

This example visualizes the process of finding majority elements in an array by scanning through indices and logging matches. It uses plain JavaScript with a `while` loop and `for` loop to iterate over the array, while an `if` conditional checks for equality with a target number. The page renders no graphics, only console output, and presents the looping logic separately as pseudocode in the README. The code relies on basic browser console APIs rather than visualization libraries.

NNita

86% match

Loading thumbnail…

Fork of Fork of nlogn algorithm for n/2 matching numbers : with psuedocode

This example demonstrates a brute-force algorithm that searches for matching numbers in an array by repeatedly halving the search range. The visualization shows a console output of the number `4` appearing in the array `[2, 4, 4, 4, 3, 6]`. The code uses plain JavaScript with a `while` loop and `Math.floor` to divide the array length, iterating through indices to log matches. No external libraries are used; the rendering relies entirely on the browser’s default console and HTML body styling with a large font size.

NNita

85% match

Loading thumbnail…

Fork of nlogn algorithm for n/2 matching numbers : with function

This example demonstrates a JavaScript algorithm that searches for a specified number within an array, collecting all matching positions. The code iteratively halves the array length in a while loop, simulating a divide-and-conquer approach, while a for loop checks each element against the target value and stores matches in an answer array. The visualization relies on plain JavaScript with no external libraries, using the arrayTest and number variables as its data source. The rendered output, though not explicitly drawn on the page, is computed through the matchNo function and logged to the console for inspection.

NNita

85% match

Loading thumbnail…

Fork of Fork of nlogn algorithm for n/2 matching numbers : with function

This example demonstrates an algorithm that attempts to find matching numbers in an array by repeatedly halving the array length and checking for a target value. It shows a console-based visualization where loop iterations log both matched indices and the shrinking value of `n`. The code uses plain JavaScript array operations and `Math.floor` for integer division, with results printed to the browser console. The rendering approach is minimal, using only HTML and inline JavaScript without external libraries, while the page sets a large font size but displays no visible graphics.

NNita

85% match

Loading thumbnail…

n/2 matching numbers : pseudocode

This example demonstrates a pseudocode representation of the n/2 majority element problem, showing how to identify a number that appears more than half the time in an array. The page displays a hardcoded test array `[1, 2, 4, 4, 4, 4, 4, 13, 10, 6]` and a target number `4`, then logs the indices where the number matches via `console.log` in a `for` loop. The visualization presents the pseudocode alongside the algorithm’s logic, though it renders no graphical output or charts, relying solely on HTML body text and JavaScript execution.

NNita

82% match

Loading thumbnail…

n/2 times

This example demonstrates a majority-element search on a fixed array, checking whether the value 2 occurs more than half the time. It shows the input array `[10,2,2,2,8]` and a resulting array where positions holding a 2 are preserved and all others are marked as `'no match'`. The visualization displays this outcome in large, browser-rendered text. Built with plain JavaScript, the code uses a `for` loop and conditional logic to compare each element against the target, logging the processed array to the console. No external libraries or canvas APIs are involved.

NNita

76% match

Loading thumbnail…

Fork of n/2 times - copy 2

This example visually represents the concept of finding majority elements in an array by rendering the number sequence [10,2,2,2,8] at a massive font size of 13em. The page uses plain HTML and CSS for styling and layout, with an empty script tag in the body where the JavaScript logic resides. The code defines a loop that attempts to set array values based on a comparison with the number 2, though the assignment is incomplete and does not perform any visible drawing. The visualization ultimately displays only static text centered on the screen, with no dynamic data-binding or chart-rendering library such as D3.js involved.

NNita

71% match

Loading thumbnail…

Algorithms 2

This example compares two algorithms for summing integers from 1 to n: a loop-based approach and a direct mathematical formula. The page displays the console output of both functions, `addNumbers` and `addNumbersFormula`, for n=10, showing that both return the same result. The plain HTML body sets a 13em font size, while the JavaScript uses standard `console.log` calls to print the labeled results. The visualization emphasizes algorithmic efficiency by contrasting the loop’s O(n) time complexity against the formula’s constant-time execution.

NNita

62% match