docs: fix typos

Cache/Memoize.js

@@ -30,7 +30,7 @@ const memoize = (func, cache = new Map()) => {
     /**
      * Arguments converted to JSON string for use as a key of Map - it's easy to detect collections like -> Object and Array
      * If the args input is -> [new Set([1, 2, 3, 4]), {name: 'myName', age: 23}]
-     * Then the agrsKey generate to -> '[[1,2,3,4],{"name":"myName","age":23}]' which is JSON mean string
+     * Then the argsKey generate to -> '[[1,2,3,4],{"name":"myName","age":23}]' which is JSON mean string
      * Now it's ready to be a perfect key for Map
      */
     const argsKey = JSON.stringify(args, jsonReplacer)

Ciphers/test/AffineCipher.test.js

@@ -19,7 +19,7 @@ describe('Test Affine Cipher', () => {
     expect(() => encrypt('null', 4, 1)).toThrow()
   })
 
-  it('Test - 3 Pass string value to encrypt and ecrypt function', () => {
+  it('Test - 3 Pass string value to encrypt and decrypt function', () => {
     expect(decrypt(encrypt('HELLO WORLD', 5, 8), 5, 8)).toBe('HELLO WORLD')
     expect(decrypt(encrypt('ABC DEF', 3, 5), 3, 5)).toBe('ABC DEF')
     expect(decrypt(encrypt('Brown fox jump over the fence', 7, 3), 7, 3)).toBe(

Ciphers/test/KeywordShiftedAlphabet.test.js

@@ -1,12 +1,12 @@
 import { encrypt, decrypt } from '../KeywordShiftedAlphabet'
 
-test('Hello world! === dcrypt(encrypt(Hello world!))', () => {
+test('Hello world! === decrypt(encrypt(Hello world!))', () => {
   const word = 'Hello world!'
   const result = decrypt('keyword', encrypt('keyword', word))
   expect(result).toMatch(word)
 })
 
-test('The Algorithms === dcrypt(encrypt(The Algorithms))', () => {
+test('The Algorithms === decrypt(encrypt(The Algorithms))', () => {
   const word = 'The Algorithms'
   const result = decrypt('keyword', encrypt('keyword', word))
   expect(result).toMatch(word)

Ciphers/test/VigenereCipher.test.js

@@ -1,12 +1,12 @@
 import { encrypt, decrypt } from '../VigenereCipher'
 
-test('Hello world! === dcrypt(encrypt(Hello world!))', () => {
+test('Hello world! === decrypt(encrypt(Hello world!))', () => {
   const word = 'Hello world!'
   const result = decrypt(encrypt(word, 'code'), 'code')
   expect(result).toMatch(word)
 })
 
-test('The Algorithms === dcrypt(encrypt(The Algorithms))', () => {
+test('The Algorithms === decrypt(encrypt(The Algorithms))', () => {
   const word = 'The Algorithms'
   const result = decrypt(encrypt(word, 'code'), 'code')
   expect(result).toMatch(word)

Conversions/BinaryToHex.js

@@ -29,7 +29,7 @@ const hexLookup = (bin) => {
 }
 const binaryToHex = (binaryString) => {
   /*
-  Function for convertung Binary to Hex
+  Function for converting Binary to Hex
 
   1. The conversion will start from Least Significant Digit (LSB) to the Most Significant Bit (MSB).
   2. We divide the bits into sections of 4-bits starting from LSB to MSB.

Conversions/RailwayTimeConversion.js

@@ -21,9 +21,9 @@ const RailwayTimeConversion = (timeString) => {
     return new TypeError('Argument is not a string.')
   }
   // split the string by ':' character.
-  const [hour, minute, scondWithShift] = timeString.split(':')
+  const [hour, minute, secondWithShift] = timeString.split(':')
   // split second and shift value.
-  const [second, shift] = [scondWithShift.substr(0, 2), scondWithShift.substr(2)]
+  const [second, shift] = [secondWithShift.substr(0, 2), secondWithShift.substr(2)]
   // convert shifted time to not-shift time(Railway time) by using the above explanation.
   if (shift === 'PM') {
     if (parseInt(hour) === 12) { return `${hour}:${minute}:${second}` } else { return `${parseInt(hour) + 12}:${minute}:${second}` }

Conversions/test/TemperatureConversion.test.js

@@ -80,19 +80,19 @@ describe('Testing Conversion of Rankine to Kelvin', () => {
     expect(test1).toBe(6)
   })
 })
-describe('Testing Conversion of Reamur to Celsius', () => {
-  it('with Reamur value', () => {
+describe('Testing Conversion of Reaumur to Celsius', () => {
+  it('with Reaumur value', () => {
     const test1 = tc.reaumurToCelsius(100)
     expect(test1).toBe(125)
   })
 })
-describe('Testing Conversion of Reamur to Fahrenheit', () => {
-  it('with Reamur value', () => {
+describe('Testing Conversion of Reaumur to Fahrenheit', () => {
+  it('with Reaumur value', () => {
     const test1 = tc.reaumurToFahrenheit(100)
     expect(test1).toBe(257)
   })
 })
-describe('Testing Conversion of Reamur to Kelvin', () => {
+describe('Testing Conversion of Reaumur to Kelvin', () => {
   it('with Reamur value', () => {
     const test1 = tc.reaumurToKelvin(100)
     expect(test1).toBe(398)

Data-Structures/Array/LocalMaximomPoint.js

@@ -3,7 +3,7 @@
  *
  * Notes:
  * - works by using divide and conquer
- * - the function gets the array A with n Real numbersand returns the local max point index (if more than one exists return the first one)
+ * - the function gets the array A with n Real numbers and returns the local max point index (if more than one exists return the first one)
  *
  * @complexity: O(log(n)) (on average )
  * @complexity: O(log(n)) (worst case)

Data-Structures/Tree/Trie.js

@@ -83,8 +83,8 @@ Trie.prototype.remove = function (word, count) {
   if (child.count >= count) child.count -= count
   else child.count = 0
 
-  // If some occurrences are left we dont delete it or else
-  // if the object forms some other objects prefix we dont delete it
+  // If some occurrences are left we don't delete it or else
+  // if the object forms some other objects prefix we don't delete it
   // For checking an empty object
   // https://stackoverflow.com/questions/679915/how-do-i-test-for-an-empty-javascript-object
   if (child.count <= 0 && (Object.keys(child.children).length && child.children.constructor === Object)) {
@@ -110,7 +110,7 @@ Trie.prototype.contains = function (word) {
   return true
 }
 
-Trie.prototype.findOccurences = function (word) {
+Trie.prototype.findOccurrences = function (word) {
   // find the node with given prefix
   const node = this.findPrefix(word)
   // No such word exists

Dynamic-Programming/KadaneAlgo.js

@@ -1,6 +1,6 @@
 /* Kadane's algorithm is one of the most efficient ways to
  * calculate the maximum contiguous subarray sum for a given array.
- * Below is the implementation of kadanes's algorithm along with
+ * Below is the implementation of Kadane's algorithm along with
  * some sample test cases.
  * There might be a special case in this problem if al the elements
  * of the given array are negative. In such a case, the maximum negative
@@ -10,14 +10,14 @@
  */
 
 export function kadaneAlgo (array) {
-  let cummulativeSum = 0
+  let cumulativeSum = 0
   let maxSum = Number.NEGATIVE_INFINITY // maxSum has the least possible value
   for (let i = 0; i < array.length; i++) {
-    cummulativeSum = cummulativeSum + array[i]
-    if (maxSum < cummulativeSum) {
-      maxSum = cummulativeSum
-    } else if (cummulativeSum < 0) {
-      cummulativeSum = 0
+    cumulativeSum = cumulativeSum + array[i]
+    if (maxSum < cumulativeSum) {
+      maxSum = cumulativeSum
+    } else if (cumulativeSum < 0) {
+      cumulativeSum = 0
     }
   }
   return maxSum

Dynamic-Programming/UniquePaths2.js

@@ -63,7 +63,7 @@ const uniquePaths2 = (obstacles) => {
     grid[0][j] = 1
   }
   // Fill the rest of grid by dynamic programming
-  // using following reccurent formula:
+  // using following recurrent formula:
   // K[i][j] = K[i - 1][j] + K[i][j - 1]
   for (let i = 1; i < rows; i++) {
     for (let j = 1; j < columns; j++) {

Geometry/Circle.js

@@ -2,7 +2,7 @@
  * This class represents a circle and can calculate it's perimeter and area
  * https://en.wikipedia.org/wiki/Circle
  * @constructor
- * @param {number} radius - The radius of the circule.
+ * @param {number} radius - The radius of the circle.
  */
 export default class Circle {
   constructor (radius) {

Graphs/BinaryLifting.js

@@ -3,7 +3,7 @@
  * Binary Lifting implementation in Javascript
  * Binary Lifting is a technique that is used to find the kth ancestor of a node in a rooted tree with N nodes
  * The technique requires preprocessing the tree in O(N log N) using dynamic programming
- * The techniqe can answer Q queries about kth ancestor of any node in O(Q log N)
+ * The technique can answer Q queries about kth ancestor of any node in O(Q log N)
  * It is faster than the naive algorithm that answers Q queries with complexity O(Q K)
  * It can be used to find Lowest Common Ancestor of two nodes in O(log N)
  * Tutorial on Binary Lifting: https://codeforces.com/blog/entry/100826

Graphs/LCABinaryLifting.js

@@ -1,6 +1,6 @@
 /**
  * Author: Adrito Mukherjee
- * Findind Lowest Common Ancestor By Binary Lifting implementation in JavaScript
+ * Finding Lowest Common Ancestor By Binary Lifting implementation in JavaScript
  * The technique requires preprocessing the tree in O(N log N) using dynamic programming)
  * It can be used to find Lowest Common Ancestor of two nodes in O(log N)
  * Tutorial on Lowest Common Ancestor: https://www.geeksforgeeks.org/lca-in-a-tree-using-binary-lifting-technique

Maths/BinomialCoefficient.js

@@ -7,7 +7,7 @@
 
 /**
  * @function findBinomialCoefficient
- * @description -> this function returns bonimial coefficient
+ * @description -> this function returns binomial coefficient
  * of two numbers n & k given by n!/((n-k)!k!)
  * @param {number} n
  * @param {number} k

Maths/CheckKishnamurthyNumber.js

@@ -37,7 +37,7 @@ const CheckKishnamurthyNumber = (number) => {
     sumOfAllDigitFactorial += factorial(lastDigit)
     newNumber = Math.floor(newNumber / 10)
   }
-  // if the sumOftheFactorial is equal to the given number it means the number is a Krishnamurthy number.
+  // if the sumOfAllDigitFactorial is equal to the given number it means the number is a Krishnamurthy number.
   return sumOfAllDigitFactorial === number
 }
 

Maths/ExtendedEuclideanGCD.js

@@ -1,7 +1,7 @@
 /**
  * Problem statement and explanation: https://en.wikipedia.org/wiki/Extended_Euclidean_algorithm
  *
- * This algorithm plays an important role for modular arithmetic, and by extension for cyptography algorithms
+ * This algorithm plays an important role for modular arithmetic, and by extension for cryptography algorithms
  *
  * Basic explanation:
  * The Extended Euclidean algorithm is a modification of the standard Euclidean GCD algorithm.

Maths/FermatPrimalityTest.js

@@ -21,7 +21,7 @@
  *     1 / 2^50 = 8.8 * 10^-16 (a pretty small number)
  *
  * For comparison, the probability of a cosmic ray causing an error to your
- * infalible program is around 1.4 * 10^-15. An order of magnitude below!
+ * infallible program is around 1.4 * 10^-15. An order of magnitude below!
  *
  * But because nothing is perfect, there's a major flaw to this algorithm, and
  * the cause are the so called Carmichael Numbers. These are composite numbers n

Maths/test/MeanAbsoluteDeviation.test.js

@@ -9,7 +9,7 @@ describe('tests for mean absolute deviation', () => {
     expect(() => meanAbsoluteDeviation('fgh')).toThrow()
   })
 
-  it('should return the mean absolute devition of an array of numbers', () => {
+  it('should return the mean absolute deviation of an array of numbers', () => {
     const meanAbDev = meanAbsoluteDeviation([2, 34, 5, 0, -2])
     expect(meanAbDev).toBe(10.479999999999999)
   })

Project-Euler/Problem003.js

@@ -1,18 +1,18 @@
 // https://projecteuler.net/problem=3
 
 export const largestPrime = (num = 600851475143) => {
-  let newnumm = num
+  let newnum = num
   let largestFact = 0
   let counter = 2
-  while (counter * counter <= newnumm) {
-    if (newnumm % counter === 0) {
-      newnumm = newnumm / counter
+  while (counter * counter <= newnum) {
+    if (newnum % counter === 0) {
+      newnum = newnum / counter
     } else {
       counter++
     }
   }
-  if (newnumm > largestFact) {
-    largestFact = newnumm
+  if (newnum > largestFact) {
+    largestFact = newnum
   }
   return largestFact
 }

Project-Euler/Problem008.js

@@ -2,11 +2,11 @@
 
 const largestAdjacentNumber = (grid, consecutive) => {
   grid = grid.split('\n').join('')
-  const splitedGrid = grid.split('\n')
+  const splitGrid = grid.split('\n')
   let largestProd = 0
 
-  for (const row in splitedGrid) {
-    const currentRow = splitedGrid[row].split('').map(x => Number(x))
+  for (const row in splitGrid) {
+    const currentRow = splitGrid[row].split('').map(x => Number(x))
 
     for (let i = 0; i < currentRow.length - consecutive; i++) {
       const combine = currentRow.slice(i, i + consecutive)

Project-Euler/Problem023.js

@@ -14,7 +14,7 @@
  */
 
 /**
- * collect the abundant numbers, generate and store their sums with each other, and check for numbers not in the llst of sums, adds them and returns their sum.
+ * collect the abundant numbers, generate and store their sums with each other, and check for numbers not in the list of sums, adds them and returns their sum.
  * @param {number} [n = 28123]
  * @returns {number}
  */

Project-Euler/Problem028.js

@@ -40,7 +40,7 @@ function problem28 (dim) {
       * Third corner: i^2 - 2 * (i - 1)
       * Fourth corner: i^2 - 3 * (i - 1)
       *
-      * Doing the sum of each corner and simplifing, we found that the result for each dimension is:
+      * Doing the sum of each corner and simplifying, we found that the result for each dimension is:
       * sumDim = 4 * i^2 + 6 * (1 - i)
       *
       * In this case I skip the 1x1 dim matrix because is trivial, that's why I start in a 3x3 matrix

Sorts/IntroSort.js

@@ -1,5 +1,5 @@
 /**
- * @function Intosort (As implemented in STD C++ Lib)
+ * @function Introsort (As implemented in STD C++ Lib)
  * The function performs introsort which is used in
  * C++ Standard LIbrary, the implementation is inspired from]
  * library routine itself.
@@ -88,7 +88,7 @@ function introsort (array, compare) {
     const THRESHOLD = 16
     /**
      * @constant TUNEMAXDEPTH
-     * Constant usec to increase or decrease value
+     * Constant used to increase or decrease value
      * of maxDepth
      */
     const TUNEMAXDEPTH = 1