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Refactor fast powering algorithm.
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@ -67,6 +67,7 @@ a set of rules that precisely define a sequence of operations.
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* `B` [Pascal's Triangle](src/algorithms/math/pascal-triangle)
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* `B` [Complex Number](src/algorithms/math/complex-number) - complex numbers and basic operations with them
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* `B` [Radian & Degree](src/algorithms/math/radian) - radians to degree and backwards conversion
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* `B` [Fast Powering](src/algorithms/math/fast-powering)
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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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* `A` [Discrete Fourier Transform](src/algorithms/math/fourier-transform) - decompose a function of time (a signal) into the frequencies that make it up
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@ -163,6 +164,7 @@ algorithm is an abstraction higher than a computer program.
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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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* `B` [Jump Game](src/algorithms/uncategorized/jump-game)
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* `B` [Fast Powering](src/algorithms/math/fast-powering)
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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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@ -1,16 +0,0 @@
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import computePower from '../power';
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describe('computePower', () => {
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it('should compute Power', () => {
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expect(computePower(1, 1)).toBe(1);
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expect(computePower(2, 0)).toBe(1);
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expect(computePower(3, 4)).toBe(81);
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expect(computePower(190, 2)).toBe(36100);
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expect(computePower(16, 16)).toBe(18446744073709552000);
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expect(computePower(100, 9)).toBe(1000000000000000000);
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expect(computePower(9, 16)).toBe(1853020188851841);
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expect(computePower(11, 5)).toBe(161051);
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expect(computePower(13, 11)).toBe(1792160394037);
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expect(computePower(7, 21)).toBe(558545864083284000);
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});
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});
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@ -1,4 +1,4 @@
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# Power(a,b)
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# Fast Powering Algorithm
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This computes power of (a,b)
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eg: power(2,3) = 8
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@ -33,3 +33,7 @@ power(2,5) = 2 * power(2,2) * power(2,2) = 2 * 4 * 4 = 32
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Complexity relation: T(n) = T(n/2) + 1
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Time complexity of the algorithm: O(logn)
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## References
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@ -0,0 +1,23 @@
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import fastPowering from '../fastPowering';
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describe('fastPowering', () => {
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it('should compute power in log(n) time', () => {
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expect(fastPowering(1, 1)).toBe(1);
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expect(fastPowering(2, 0)).toBe(1);
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expect(fastPowering(2, 2)).toBe(4);
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expect(fastPowering(2, 3)).toBe(8);
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expect(fastPowering(2, 4)).toBe(16);
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expect(fastPowering(2, 5)).toBe(32);
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expect(fastPowering(2, 6)).toBe(64);
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expect(fastPowering(2, 7)).toBe(128);
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expect(fastPowering(2, 8)).toBe(256);
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expect(fastPowering(3, 4)).toBe(81);
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expect(fastPowering(190, 2)).toBe(36100);
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expect(fastPowering(11, 5)).toBe(161051);
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expect(fastPowering(13, 11)).toBe(1792160394037);
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expect(fastPowering(9, 16)).toBe(1853020188851841);
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expect(fastPowering(16, 16)).toBe(18446744073709552000);
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expect(fastPowering(7, 21)).toBe(558545864083284000);
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expect(fastPowering(100, 9)).toBe(1000000000000000000);
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});
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});
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@ -1,11 +1,11 @@
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/**
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* @param {number1} number
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* @param {number2} number
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* @return {number1^number2}
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* Recursive implementation to compute power.
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*
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* @param {number} number1
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* @param {number} number2
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* @return {number}
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*/
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// recursive implementation to compute power
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export default function computePower(number1, number2) {
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export default function fastPowering(number1, number2) {
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let val = 0;
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let res = 0;
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if (number2 === 0) { // if number2 is 0
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@ -13,10 +13,10 @@ export default function computePower(number1, number2) {
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} else if (number2 === 1) { // if number2 is 1 return number 1 as it is
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val = number1;
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} else if (number2 % 2 === 0) { // if number2 is even
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res = computePower(number1, number2 / 2);
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res = fastPowering(number1, number2 / 2);
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val = res * res;
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} else { // if number2 is odd
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res = computePower(number1, Math.floor(number2 / 2));
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res = fastPowering(number1, Math.floor(number2 / 2));
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val = res * res * number1;
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}
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return val;
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