* Added Bilateral filter
* Added Bilateral filter
* changed types of varS and varI
* formatted with black
* added type hints
* changed variable names
* Update bilateral_filter.py
* Drop transitory variables, add parse_args()
Co-authored-by: vinayak <itssvinayak@gmail.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
* estimate area under a curve defined by non-negative real-valued continuous function within a continuous interval using monte-carlo
* run black; update comments
* Use f”strings” and drop unnecessary returns
Co-authored-by: Christian Clauss <cclauss@me.com>
* Travis CI: Upgrade to Python 3.8
* updating DIRECTORY.md
* Tensorflow is not yet compatible with Python 3.8
* Disable k_means_clustering_tensorflow.py
* updating DIRECTORY.md
* Disable gan.py
* updating DIRECTORY.md
* Disable input_data.py
* updating DIRECTORY.md
* pip install a current version of six
* add example to estimate area under line using montecarlo
* separate estimate func and print statements
* use mean from stats package
* avoid creating extra variable
* min_value: float=0.0, max_value: float=1.0
* Update montecarlo.py
* Update montecarlo.py
* Rename montecarlo.py to monte_carlo.py
* Update monte_carlo.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Add Chudnovskys algorithm for calculating many digits of pi
* Update return value type hint
* Initialize partial sum to be of type Decimal
* Update chudnovsky_algorithm.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Create Bisection.py
Find root of
* Update Bisection.py
* Update Bisection.py
i changed the given function with one that i could make the doctests.
* Rename Bisection.py to bisection.py
* Update bisection.py
* Update bisection.py
* Update bisection.py
* Update bisection.py
* Update bisection.py
Made the changes that were requested
* Update bisection.py
* Update bisection.py
* Add wiki url
Co-authored-by: Christian Clauss <cclauss@me.com>
* 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
