I have solved it by raising a certain matrix A to sufficiently big power (2120 in my case). After reading problem discussions I've found out it could be computed using Gaussian elimination. Can anybody explain what does Gaussian elimination have to do with raising matrix to an infinite power...
Yes a I mean Gaussian elimination using a nested for loop. The answer that was given wasn't using a nested for loop. It was using somethings I've nnever seen before, so can anyone please show me an example of this using a nested for loop? Walter Roberson 2011년 9월 25일 If...
This method — which Euler did not recommend, which Legendre called "ordinary," and which Gauss called "common" — is now named after Gauss: "Gaussian" elimination. Gauss's name became associated with elimination through the adoption, by professional computers, of a specialized notation that ...
リンク 翻訳 閉鎖済み:MATLAB Answer Bot2021 年 8 月 20 日 i have problem with making long codes and i fear this will result i me not finishing my exam 2 件のコメント Jan2015 年 4 月 3 日 A funny question. Quicker than what? Please take the time to describe the problem you have...
J.H. Wilkinson put Gaussian elimination (GE) on a sound numerical footing in the 1960's when he showed that with partial pivoting the method is stable in the sense of yielding a small backward error. He also derived bounds proportional to the condition number $\\kappa(A)$ for the forward...
I would first try to do this on paper before putting it into code. Are the functions linear with respect to the variables? Solve for one variable in one equation, then substitute it in the other two equations, and repeat the process with the remaining variab...
We apply this formalism to LPN by guessing the noise vector then performing a Gaussian elimination to extract the secret. The optimal m decreases as the probability τ to have an error in a parity bit decreases from 12. For τ=12, the optimal m corresponds to a normal exhaustive search. ...
For all practical biased examples, we show that the best strategy is to use m = 1. For LPN, this means to guess that the noise vector is 0 and to solve the secret by Gaussian elimination. This is actually better than all variants of the Blum-Kalai-Wasserman (BKW) algorithm. 展开 ...
Statistics and Machine Learning Toolbox See "Generate C/C++ code for prediction using Gaussian kernel classification and regression models (requires MATLAB Coder)" (Statistics and Machine Learning Toolbox). Wavelet Toolbox See "C/C++ Code Generation: Automatically generate code for wavelet functions" ...
How does the determinant change with the gaussian elimination? Row Operations: There are three types of row operations which can be performed on matrices: row swapping, scalar multiplication of rows, and adding rows. These operations are important in Gaussian elimination and finding inverse matrices...