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Trim trailing whitespaces.

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Oleksii Trekhleb
2020-12-16 06:49:10 +01:00
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@@ -66,7 +66,7 @@ a set of rules that precisely define a sequence of operations.
* `B` [Bit Manipulation](src/algorithms/math/bits) - set/get/update/clear bits, multiplication/division by two, make negative etc.
* `B` [Factorial](src/algorithms/math/factorial)
* `B` [Fibonacci Number](src/algorithms/math/fibonacci) - classic and closed-form versions
* `B` [Prime Factors](src/algorithms/math/prime-factors) - finding prime factors and counting them using Hardy-Ramanujan's theorem
* `B` [Prime Factors](src/algorithms/math/prime-factors) - finding prime factors and counting them using Hardy-Ramanujan's theorem
* `B` [Primality Test](src/algorithms/math/primality-test) (trial division method)
* `B` [Euclidean Algorithm](src/algorithms/math/euclidean-algorithm) - calculate the Greatest Common Divisor (GCD)
* `B` [Least Common Multiple](src/algorithms/math/least-common-multiple) (LCM)
@@ -142,7 +142,7 @@ a set of rules that precisely define a sequence of operations.
* `B` [Polynomial Hash](src/algorithms/cryptography/polynomial-hash) - rolling hash function based on polynomial
* `B` [Caesar Cipher](src/algorithms/cryptography/caesar-cipher) - simple substitution cipher
* **Machine Learning**
* `B` [NanoNeuron](https://github.com/trekhleb/nano-neuron) - 7 simple JS functions that illustrate how machines can actually learn (forward/backward propagation)
* `B` [NanoNeuron](https://github.com/trekhleb/nano-neuron) - 7 simple JS functions that illustrate how machines can actually learn (forward/backward propagation)
* `B` [KNN](src/algorithms/ML/KNN) - K Nearest Neighbors
* **Uncategorized**
* `B` [Tower of Hanoi](src/algorithms/uncategorized/hanoi-tower)