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# Question : Implement a program to find the minimum number of squares that sum up to a given number (Lagrange's four-square theorem).
Path to create the file : `tmxvVJ/U5nV1s.py`
To assign yoursel…
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1. Use squared Euclidean distance Instead of full Euclidean distance between atoms - avoid computing sqrt. In function `getRclash` v `kernels/classification.cl` return squared distances (e.g., 2.5 -…
nejci updated
2 years ago
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I would like to add some algorithms about matrices. Specifically, a function that finds the sum of all k x k sub-squares in a matrix, a function that finds the rank of a matrix, and a class with 4 fun…
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I printed out the sum of squares of velocities in the simulation and observed the total energy varies over time.
 :
The following column name…
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soundfinder_localize algorithm produces two solutions because it solves a quadratic equation. We currently choose a solution by the lower pseudorange error, or alternatively by least squares discrepan…
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For the primal method for solving the PSD problem, it is better to use a Chebyshev basis according to Pre- and post-processing sum-of-squares programs in practice, Johan Löfberg.
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Let's illustrate this with an example:
`new Fraction((BigInteger)double.MaxValue * 2, (BigInteger)double.MaxValue * 2, false)`
| Name | Value | Type
-- | -- | -- | --
▶ | A | 3.5…
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Was just browsing code, noticed that RMSE in characterize.py is backwards: should be sqrt(sum-of-squares/n) not (sum-of-sqrts/n)^2; i.e. line 69 should be "err += math.pow(i-current,2)" and line 73 sh…