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https://github.com/TheAlgorithms/Ruby
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Merge branch 'TheAlgorithms:master' into master
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@ -51,6 +51,7 @@
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* Hash Table
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* [Anagram Checker](https://github.com/TheAlgorithms/Ruby/blob/master/data_structures/hash_table/anagram_checker.rb)
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* [Arrays Intersection](https://github.com/TheAlgorithms/Ruby/blob/master/data_structures/hash_table/arrays_intersection.rb)
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* [Common Characters](https://github.com/TheAlgorithms/Ruby/blob/master/data_structures/hash_table/common_characters.rb)
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* [Find All Duplicates In An Array](https://github.com/TheAlgorithms/Ruby/blob/master/data_structures/hash_table/find_all_duplicates_in_an_array.rb)
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* [Good Pairs](https://github.com/TheAlgorithms/Ruby/blob/master/data_structures/hash_table/good_pairs.rb)
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* [Richest Customer Wealth](https://github.com/TheAlgorithms/Ruby/blob/master/data_structures/hash_table/richest_customer_wealth.rb)
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* [Coin Change](https://github.com/TheAlgorithms/Ruby/blob/master/dynamic_programming/coin_change.rb)
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* [Count Sorted Vowel Strings](https://github.com/TheAlgorithms/Ruby/blob/master/dynamic_programming/count_sorted_vowel_strings.rb)
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* [Fibonacci](https://github.com/TheAlgorithms/Ruby/blob/master/dynamic_programming/fibonacci.rb)
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* [Pascal Triangle Ii](https://github.com/TheAlgorithms/Ruby/blob/master/dynamic_programming/pascal_triangle_ii.rb)
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## Maths
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* [3N Plus 1 or Collatz Conjecture](https://github.com/TheAlgorithms/Ruby/blob/master/maths/3nPlus1.rb)
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* [Find Min](https://github.com/TheAlgorithms/Ruby/blob/master/maths/find_min.rb)
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* [Lucas Series](https://github.com/TheAlgorithms/Ruby/blob/master/maths/lucas_series.rb)
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* [Number Of Digits](https://github.com/TheAlgorithms/Ruby/blob/master/maths/number_of_digits.rb)
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* [Pascal Triangle Ii](https://github.com/TheAlgorithms/Ruby/blob/master/maths/pascal_triangle_ii.rb)
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* [Power Of Two](https://github.com/TheAlgorithms/Ruby/blob/master/maths/power_of_two.rb)
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* [Prime Number](https://github.com/TheAlgorithms/Ruby/blob/master/maths/prime_number.rb)
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* [Roman To Integer](https://github.com/TheAlgorithms/Ruby/blob/master/maths/roman_to_integer.rb)
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51
data_structures/hash_table/common_characters.rb
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51
data_structures/hash_table/common_characters.rb
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# Challenge name: Find Common Characters
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#
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# Given an array A of strings made only from lowercase letters, return a list
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# of all characters that show up in all strings within the list
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# (including duplicates). For example, if a character occurs 3 times in all
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# strings but not 4 times, you need to include that character three times in
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# the final answer.
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#
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# You may return the answer in any order.
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#
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# Example 1:
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# Input: ["bella","label","roller"]
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# Output: ["e","l","l"]
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#
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# Example 2:
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# Input: ["cool","lock","cook"]
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# Output: ["c","o"]
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#
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# Approach 1: Hash
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#
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# Time Complexity: O(n)
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#
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def common_characters(arr)
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target_count = arr.count
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hash = Hash.new(0)
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(0...target_count).each do |i|
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arr[i].split('').each do |letter|
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hash[letter] += 1
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end
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end
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result = []
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hash.each do |k, v|
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while v >= target_count
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if v >= target_count
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result << k
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v -= target_count
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end
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end
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end
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result
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end
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puts common_characters(["bella","label","roller"])
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# => ["e","l","l"]
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puts common_characters(["cool","lock","cook"])
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# => ["c","o"]
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138
dynamic_programming/pascal_triangle_ii.rb
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138
dynamic_programming/pascal_triangle_ii.rb
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# Given an integer row_index, return the rowIndexth (0-indexed) row of the Pascal's triangle.
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# Example 1:
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#
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# Input: row_index = 3
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# Output: [1,3,3,1]
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#
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# Example 2:
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#
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# Input: row_index = 0
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# Output: [1]
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#
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# Example 3:
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#
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# Input: row_index = 1
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# Output: [1,1]
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#
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# Approach 1: Brute Force
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#
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# Complexity Analysis
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#
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# Time complexity: O(k^2).
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# Space complexity: O(k) + O(k) ~ O(k)
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def get_num(row, col)
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return 1 if row == 0 || col == 0 || row == col
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get_num(row - 1, col - 1) + get_num(row - 1, col)
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end
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def get_row(row_index)
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result = []
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(row_index + 1).times do |i|
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result.push(get_num(row_index, i))
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end
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result
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end
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row_index = 3
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print(get_row(row_index))
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# => [1,3,3,1]
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row_index = 0
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print(get_row(row_index))
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# => [1]
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row_index = 1
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print(get_row(row_index))
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# => [1,1]
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#
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# Approach 2: Dynamic Programming
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#
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# Complexity Analysis
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#
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# Time complexity: O(k^2).
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# Space complexity: O(k) + O(k) ~ O(k).
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# @param {Integer} row_index
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# @return {Integer[]}
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def get_row(row_index)
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result = generate(row_index)
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result[result.count - 1]
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end
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def generate(num_rows)
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return [[1]] if num_rows < 1
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result = [[1], [1, 1]]
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(2...num_rows + 1).each do |row|
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prev = result[row - 1]
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current = [1]
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med = prev.count / 2
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(1...prev.count).each do |i|
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current[i] = prev[i - 1] + prev[i]
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end
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current.push(1)
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result.push(current)
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end
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result
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end
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row_index = 3
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print(get_row(row_index))
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# => [1,3,3,1]
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row_index = 0
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print(get_row(row_index))
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# => [1]
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row_index = 1
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print(get_row(row_index))
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# => [1,1]
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#
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# Approach 3: Memory-efficient Dynamic Programming
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#
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# Complexity Analysis
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#
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# Time complexity: O(k^2).
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# Space complexity: O(k).
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# @param {Integer} row_index
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# @return {Integer[]}
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def get_row(row_index)
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pascal = [[1]]
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(1..row_index).each do |i|
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pascal[i] = []
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pascal[i][0] = pascal[i][i] = 1
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(1...i).each do |j|
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pascal[i][j] = pascal[i - 1][j - 1] + pascal[i - 1][j]
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end
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end
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pascal[row_index]
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end
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row_index = 3
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print(get_row(row_index))
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# => [1,3,3,1]
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row_index = 0
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print(get_row(row_index))
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# => [1]
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row_index = 1
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print(get_row(row_index))
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# => [1,1]
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maths/pascal_triangle_ii.rb
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45
maths/pascal_triangle_ii.rb
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# Given an integer row_index, return the rowIndexth (0-indexed) row of the Pascal's triangle.
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# Example 1:
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#
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# Input: row_index = 3
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# Output: [1,3,3,1]
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#
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# Example 2:
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#
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# Input: row_index = 0
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# Output: [1]
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#
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# Example 3:
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#
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# Input: row_index = 1
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# Output: [1,1]
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# Complexity Analysis
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#
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# Time complexity: O(k).
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# Space complexity: O(k).
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def get_row(row_index)
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(0..row_index).map {|num| combination(row_index, num) }
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end
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def combination(num1, num2)
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factorial(num1) / (factorial(num2) * factorial(num1 - num2))
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end
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def factorial(num)
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(1..num).inject(1) { |res, i| res * i }
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end
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row_index = 3
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print(get_row(row_index))
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# => [1,3,3,1]
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row_index = 0
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print(get_row(row_index))
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# => [1]
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row_index = 1
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print(get_row(row_index))
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# => [1,1]
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