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committedJul 7, 2018
Add Pascal's triangle.
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‎README.md

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* `B` [Primality Test](src/algorithms/math/primality-test) (trial division method)
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* `B` [Euclidean Algorithm](src/algorithms/math/euclidean-algorithm) - calculate the Greatest Common Divisor (GCD)
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* `B` [Least Common Multiple](src/algorithms/math/least-common-multiple) (LCM)
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* `A` [Integer Partition](src/algorithms/math/integer-partition)
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* `B` [Sieve of Eratosthenes](src/algorithms/math/sieve-of-eratosthenes) - finding all prime numbers up to any given limit
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* `B` [Is Power of Two](src/algorithms/math/is-power-of-two) - check if the number is power of two (naive and bitwise algorithms)
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* `B` [Pascal's Triangle](src/algorithms/math/pascal-triangle)
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* `A` [Integer Partition](src/algorithms/math/integer-partition)
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* `A` [Liu Hui π Algorithm](src/algorithms/math/liu-hui) - approximate π calculations based on N-gons
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* **Sets**
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* `B` [Cartesian Product](src/algorithms/sets/cartesian-product) - product of multiple sets
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* `B` [Fisher–Yates Shuffle](src/algorithms/sets/fisher-yates) - random permutation of a finite sequence
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* `A` [Power Set](src/algorithms/sets/power-set) - all subsets of a set
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* `A` [Permutations](src/algorithms/sets/permutations) (with and without repetitions)
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* `A` [Combinations](src/algorithms/sets/combinations) (with and without repetitions)
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* `B` [Fisher–Yates Shuffle](src/algorithms/sets/fisher-yates) - random permutation of a finite sequence
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* `A` [Longest Common Subsequence](src/algorithms/sets/longest-common-subsequence) (LCS)
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* `A` [Longest Increasing Subsequence](src/algorithms/sets/longest-increasing-subsequence)
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* `A` [Shortest Common Supersequence](src/algorithms/sets/shortest-common-supersequence) (SCS)
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* `A` [Knapsack Problem](src/algorithms/sets/knapsack-problem) - "0/1" and "Unbound" ones
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* `A` [Maximum Subarray](src/algorithms/sets/maximum-subarray) - "Brute Force" and "Dynamic Programming" (Kadane's) versions
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* `A` [Combination Sum](src/algorithms/sets/combination-sum) - find all combinations that form specific sum
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* **Strings**
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* `A` [Levenshtein Distance](src/algorithms/string/levenshtein-distance) - minimum edit distance between two sequences
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* `B` [Hamming Distance](src/algorithms/string/hamming-distance) - number of positions at which the symbols are different
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* `A` [Levenshtein Distance](src/algorithms/string/levenshtein-distance) - minimum edit distance between two sequences
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* `A` [Knuth–Morris–Pratt Algorithm](src/algorithms/string/knuth-morris-pratt) (KMP Algorithm) - substring search (pattern matching)
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* `A` [Z Algorithm](src/algorithms/string/z-algorithm) - substring search (pattern matching)
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* `A` [Rabin Karp Algorithm](src/algorithms/string/rabin-karp) - substring search
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* **Graphs**
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* `B` [Depth-First Search](src/algorithms/graph/depth-first-search) (DFS)
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* `B` [Breadth-First Search](src/algorithms/graph/breadth-first-search) (BFS)
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* `B` [Kruskal’s Algorithm](src/algorithms/graph/kruskal) - finding Minimum Spanning Tree (MST) for weighted undirected graph
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* `A` [Dijkstra Algorithm](src/algorithms/graph/dijkstra) - finding shortest path to all graph vertices
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* `A` [Bellman-Ford Algorithm](src/algorithms/graph/bellman-ford) - finding shortest path to all graph vertices
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* `A` [Detect Cycle](src/algorithms/graph/detect-cycle) - for both directed and undirected graphs (DFS and Disjoint Set based versions)
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* `A` [Prim’s Algorithm](src/algorithms/graph/prim) - finding Minimum Spanning Tree (MST) for weighted undirected graph
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* `B` [Kruskal’s Algorithm](src/algorithms/graph/kruskal) - finding Minimum Spanning Tree (MST) for weighted undirected graph
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* `A` [Topological Sorting](src/algorithms/graph/topological-sorting) - DFS method
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* `A` [Articulation Points](src/algorithms/graph/articulation-points) - Tarjan's algorithm (DFS based)
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* `A` [Bridges](src/algorithms/graph/bridges) - DFS based algorithm
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* `A` [Travelling Salesman Problem](src/algorithms/graph/travelling-salesman) - shortest possible route that visits each city and returns to the origin city
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* **Uncategorized**
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* `B` [Tower of Hanoi](src/algorithms/uncategorized/hanoi-tower)
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* `B` [Square Matrix Rotation](src/algorithms/uncategorized/square-matrix-rotation) - in-place algorithm
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* `A` [N-Queens Problem](src/algorithms/uncategorized/n-queens)
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* `A` [Knight's Tour](src/algorithms/uncategorized/knight-tour)
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* `B` [Square Matrix Rotation](src/algorithms/uncategorized/square-matrix-rotation) - in-place algorithm
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### Algorithms by Paradigm
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* **Divide and Conquer** - divide the problem into smaller parts and then solve those parts
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* `B` [Binary Search](src/algorithms/search/binary-search)
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* `B` [Tower of Hanoi](src/algorithms/uncategorized/hanoi-tower)
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* `B` [Pascal's Triangle](src/algorithms/math/pascal-triangle)
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* `B` [Euclidean Algorithm](src/algorithms/math/euclidean-algorithm) - calculate the Greatest Common Divisor (GCD)
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* `A` [Permutations](src/algorithms/sets/permutations) (with and without repetitions)
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* `A` [Combinations](src/algorithms/sets/combinations) (with and without repetitions)
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* `B` [Merge Sort](src/algorithms/sorting/merge-sort)
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* `B` [Quicksort](src/algorithms/sorting/quick-sort)
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* `B` [Tree Depth-First Search](src/algorithms/tree/depth-first-search) (DFS)
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* `B` [Graph Depth-First Search](src/algorithms/graph/depth-first-search) (DFS)
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* `A` [Permutations](src/algorithms/sets/permutations) (with and without repetitions)
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* `A` [Combinations](src/algorithms/sets/combinations) (with and without repetitions)
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* **Dynamic Programming** - build up a solution using previously found sub-solutions
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* `B` [Fibonacci Number](src/algorithms/math/fibonacci)
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* `A` [Levenshtein Distance](src/algorithms/string/levenshtein-distance) - minimum edit distance between two sequences
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# Pascal's Triangle
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In mathematics, **Pascal's triangle** is a triangular array of
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the binomial coefficients.
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The rows of Pascal's triangle are conventionally enumerated
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starting with row `n = 0` at the top (the `0th` row). The
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entries in each row are numbered from the left beginning
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with `k = 0` and are usually staggered relative to the
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numbers in the adjacent rows. The triangle may be constructed
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in the following manner: In row `0` (the topmost row), there
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is a unique nonzero entry `1`. Each entry of each subsequent
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row is constructed by adding the number above and to the
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left with the number above and to the right, treating blank
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entries as `0`. For example, the initial number in the
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first (or any other) row is `1` (the sum of `0` and `1`),
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whereas the numbers `1` and `3` in the third row are added
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to produce the number `4` in the fourth row.
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![Pascal's Triangle](https://upload.wikimedia.org/wikipedia/commons/0/0d/PascalTriangleAnimated2.gif)
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## Formula
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The entry in the `nth` row and `kth` column of Pascal's
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triangle is denoted ![Formula](https://wikimedia.org/api/rest_v1/media/math/render/svg/206415d3742167e319b2e52c2ca7563b799abad7).
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For example, the unique nonzero entry in the topmost
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row is ![Formula example](https://wikimedia.org/api/rest_v1/media/math/render/svg/b7e35f86368d5978b46c07fd6dddca86bd6e635c).
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With this notation, the construction of the previous
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paragraph may be written as follows:
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![Formula](https://wikimedia.org/api/rest_v1/media/math/render/svg/203b128a098e18cbb8cf36d004bd7282b28461bf)
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for any non-negative integer `n` and any
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integer `k` between `0` and `n`, inclusive.
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## References
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- [Wikipedia](https://en.wikipedia.org/wiki/Pascal%27s_triangle)
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import pascalTriangleRecursive from '../pascalTriangleRecursive';
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describe('pascalTriangleRecursive', () => {
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it('should calculate Pascal Triangle coefficients for specific line number', () => {
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expect(pascalTriangleRecursive(0)).toEqual([1]);
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expect(pascalTriangleRecursive(1)).toEqual([1, 1]);
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expect(pascalTriangleRecursive(2)).toEqual([1, 2, 1]);
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expect(pascalTriangleRecursive(3)).toEqual([1, 3, 3, 1]);
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expect(pascalTriangleRecursive(4)).toEqual([1, 4, 6, 4, 1]);
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expect(pascalTriangleRecursive(5)).toEqual([1, 5, 10, 10, 5, 1]);
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expect(pascalTriangleRecursive(6)).toEqual([1, 6, 15, 20, 15, 6, 1]);
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expect(pascalTriangleRecursive(7)).toEqual([1, 7, 21, 35, 35, 21, 7, 1]);
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});
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});
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/**
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* @param {number} lineNumber
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* @return {number[]}
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*/
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export default function pascalTriangleRecursive(lineNumber) {
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if (lineNumber === 0) {
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return [1];
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}
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const currentLineSize = lineNumber + 1;
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const previousLineSize = currentLineSize - 1;
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// Create container for current line values.
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const currentLine = [];
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// We'll calculate current line based on previous one.
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const previousLine = pascalTriangleRecursive(lineNumber - 1);
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// Let's go through all elements of current line except the first and
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// last one (since they were and will be filled with 1's) and calculate
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// current coefficient based on previous line.
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for (let numIndex = 0; numIndex < currentLineSize; numIndex += 1) {
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const leftCoefficient = (numIndex - 1) >= 0 ? previousLine[numIndex - 1] : 0;
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const rightCoefficient = numIndex < previousLineSize ? previousLine[numIndex] : 0;
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currentLine[numIndex] = leftCoefficient + rightCoefficient;
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}
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return currentLine;
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}

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