* Added montecarlo.py
This algorithm uses a Monte Carlo simulation to estimate the value of pi.
* Rename montecarlo.py to maths/montecarlo.py
* Add files via upload
* Delete montecarlo.py
* Rename montecarlo.py to maths/montecarlo.py
* Update montecarlo.py
* Travis CI: Don’t allow bare exceptions
* fixup! Format Python code with psf/black push
* except IOError:
* except IOError:
* Update hamming_code.py
* IndexError
* Get rid of the nonsense logic
Co-authored-by: John Law <johnlaw.po@gmail.com>
- Add more doctests and type checking to make sure only natural
numbers are used
- Simplified the algorithm slightly
This new verison is also between 10-15% faster for really
long sequences
* A recursive insertion sort
* added doctests and typehints
* Added arc length and numerical integration calculators
* fixed doc test
* Fixed some conversion errors
* Fixed some commenting
* Deleted numerical integration to allow 1 file per push
* Changed string formatting method
* Added program to calculate trapezoidal area under curve
* Deleted files ensure 1 pull request per file
* file name changed
* Update area_under_curve.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Create soln.py
Solution for problem 30 of Euler Project
* Update soln.py
* update soln.py
modified the changes
* if __name__ == "__main__":
Co-authored-by: Christian Clauss <cclauss@me.com>
* Added to maths and strings
* added changes suggest by cclauss
* added square root function
* Fixed type hinting
* fixed type error
* Fixed another type error
* enhance swapping code in link
* heapify do not recursive
* fix
* fix identifier and add test
* typing.Any and LinkedList instead of Linkedlist
* typing.Any and LinkedList instead of Linkedlist
* Added Strassen divide and conquer algorithm to multiply matrices
* Divide and conquer algorith to calculate pow(a,b) or a raised to the power of b
* Putting docstring inside the function.
* Added doctests
* Code Upload
* Code Upload
* Delete n_possible_bst
* Find the N Possible Binary Tree and Binary Tree from given Nth Number of Node.
* Update in Test
* Update and rename n_possible_bst.py to number_of_possible_binary_trees.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* added hill climbing algorithm
* Shorten long lines, streamline get_neighbors()
* Update hill_climbing.py
* Update and rename optimization/hill_climbing.py to searches/hill_climbing.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Code Upload
* Code Upload
* Delete n_possible_bst
* Find the N Possible Binary Tree and Binary Tree from given Nth Number of Node.
* Update in Test
* Update and rename n_possible_bst.py to number_of_possible_binary_trees.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* update volumes with type hints + some refactoring
* added docstrings
* Use float instead of ints in doctest results
Co-authored-by: Christian Clauss <cclauss@me.com>
* Dijkstra's Bankers algorithm
@bluedistro, Your review please. A second shot at #1645
Implementation of the Dijkstra's Banker's algorithm with test examples and a comprehensible description.
* fixup! Format Python code with psf/black push
* Delete back_propagation_neural_network.py
* Create back_propagation_neural_network.py
* fixup! Format Python code with psf/black push
* Added binary exponentiaion with respect to modulo
* Added miller rabin: the probabilistic primality test for large numbers
* Removed unused import
* Added test for miller_rabin
* Add test to binary_exp_mod
* Removed test parameter to make Travis CI happy
* unittest.main() # doctest: +ELLIPSIS ...
* Update binary_exp_mod.py
* Update binary_exp_mod.py
* Update miller_rabin.py
* from .prime_check import prime_check
Co-authored-by: Christian Clauss <cclauss@me.com>
* Stack using double linked list
* Test with doctests
* Update stack_using_dll.py
* Update stack_using_dll.py
* Update stack_using_dll.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* added roman to integer conversion (LeetCode No. 13)
* updated directory to include Roman to Integer
* Delete DIRECTORY.md
* Update roman_to_integer.py
Co-authored-by: Christian Clauss <cclauss@me.com>
