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python Programming Glossary: polynomialMultivariate polynomial regression with numpy http://stackoverflow.com/questions/10988082/multivariate-polynomial-regression-with-numpy polynomial regression with numpy I have many samples y_i a_i b_i c_i where.. samples y_i a_i b_i c_i where y is presumed to vary as a polynomial in a b c up to a certain degree. For example for a given set..
All minimum spanning trees implementation http://stackoverflow.com/questions/2935754/all-minimum-spanning-trees-implementation and then filtering the results will take O V^2 memory and polynomial space requirements are evil Generate a tree examine it's weight..
How to do exponential and logarithmic curve fitting in Python? I found only polynomial fitting http://stackoverflow.com/questions/3433486/how-to-do-exponential-and-logarithmic-curve-fitting-in-python-i-found-only-poly and logarithmic curve fitting in Python I found only polynomial fitting I have a set of data and I want to compare which line.. of data and I want to compare which line describes it best polynomials of different orders exponential or logarithmic . I use Python.. or logarithmic . I use Python and Numpy and for polynomial fitting there is a function polyfit . But I found no such functions..
AKS Primes algorithm in Python http://stackoverflow.com/questions/347811/aks-primes-algorithm-in-python of the paper was theoretical proving that a deterministic polynomial time algorithm exists for testing primality without assuming..
http://stackoverflow.com/questions/5047494/python-crc32-woes You start with 0b00000000 and pad with 32 0's then do polynomial division with 0x04C11DB7 until there are no ones left in the.. The basic CRC algorithm is to treat the input message as a polynomial in GF 2 divide by the fixed CRC polynomial and use the polynomial.. message as a polynomial in GF 2 divide by the fixed CRC polynomial and use the polynomial remainder as the resulting hash. CRC..
http://stackoverflow.com/questions/6012963/subset-sum-problem give you just a CHANCE of finding an exact solution in polynomial time. On the other side if you restrict the problem to another.. numbers in the set then the problem complexity reduces to polynomial time. But even then the memory space consumed will be a polynomial.. time. But even then the memory space consumed will be a polynomial of VERY High Order. The memory consumed will be much larger..
How do I calculate r-squared using Python and Numpy? http://stackoverflow.com/questions/893657/how-do-i-calculate-r-squared-using-python-and-numpy Numpy I'm using Python and Numpy to calculate a best fit polynomial of arbitrary degree. I pass a list of x values y values and.. I pass a list of x values y values and the degree of the polynomial I want to fit linear quadratic etc. . This much works but I.. degree equals 1 . However my function does not work for polynomials with degree greater than 1. Excel is able to do this. How do..
Multiplying polynomials in python http://stackoverflow.com/questions/5413158/multiplying-polynomials-in-python of @katrielalex import collections import itertools class Polynomial object def __init__ self args Create a polynomial in one of.. self args Create a polynomial in one of three ways p Polynomial poly # copy constructor p Polynomial 1 2 3 ... # from sequence.. one of three ways p Polynomial poly # copy constructor p Polynomial 1 2 3 ... # from sequence p Polynomial 1 2 3 ... # from scalars..
How do I calculate r-squared using Python and Numpy? http://stackoverflow.com/questions/893657/how-do-i-calculate-r-squared-using-python-and-numpy polynomials using Numpy Here's my function import numpy # Polynomial Regression def polyfit x y degree results coeffs numpy.polyfit.. x y degree results coeffs numpy.polyfit x y degree # Polynomial Coefficients results 'polynomial' coeffs.tolist correlation.. squared but the following should be correct import numpy # Polynomial Regression def polyfit x y degree results coeffs numpy.polyfit..
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