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Renat, I never said that. I said that I wouldn't judge until I'd tested everything on a real account. I'm waiting for the advisor to transfer from MKL5 code to 4.
ok
debates
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I would personally suggest asking this person's opinion - is it worth it?
For he shoots a tenner, and only engages in things that are worthy of attentionBravo, you have outperformed Gauss and Kramer:
Consider the linear dependence of the exponent Y on a set of variables x:
To estimate the coefficients of the equation, we apply Gauss's method of least squares and obtain the following system of k linear equations with at least n ≥ k+1 groups of actual data Y depending on the values of variables x:
In general, this system of equations is solved by Gauss (1777- 1855) method of successive elimination of variables or by using the properties of matrices, known as Cramer's method (1704-1752).
Computational complexity
The method of Gauss is a classical method for solvingsystems of linear algebraic equations(SLAE). This is a method of sequential elimination ofvariables, when using the elementary transformation of a system of equations is reduced to an equivalent system of a stepped (or triangular) form, from which consistently, starting with the last (by number) of variables, are all the remaining variables.
The algorithm of solution ofSLAE by Gauss method is divided into two stages.
Cramer's methodrequires computation ofdeterminants of appropriate dimension. When usingthe Gaussian methodto compute the determinants, the method has a time complexity of order4, which is worse than ifthe Gaussian methodwere directly used to solve the system of equations.
Yusuf, what would you say to a student who would come to you for a term paper and inside it?
Where and how do you apply Gauss ISC? What do you call the "estimation" of the coefficients? And how is this "next system" derived?
Why such big quotes about the elementary? First like swing, one two, back and forth, and the quote is about solving a linear system of equations. Who is this meant for? Total idiots?
Get a matcad -- do you show a lot of cleverness?
Have you demonstrated much? You demonstrate school problems solvable by one line, and five screens of picturesque canvases. And those aren't always correct.
It seems to be outdated methods, SVD is used by all))
but for tajikistan this will do
It seems to be outdated methods, SVD is used by all ))
What is SVD (Dragunov sniper rifle?), speak in human language, please. Reminds me of a teacher who also taught TAU, by the way... He was so smart, too, all like: "you know this from maths..." - opens up a textbook and copies the formulas one-to-one from the textbook. It's the same here. I have a lot of questions about these associate professors at universities - what do they know and understand and whether they themselves know and understand it? It's the same here with Yusuf - "Everything here is so simple, one, two" - and it was rewritten from some textbook, and it seems that it was rewritten completely wrong.
What is SVD, speak in human language, please. Reminds me of a teacher who also taught TAU... He was also so smart, all like: "you know this from maths," opens up a textbook and copies the formulas one-to-one from the textbook. The same thing is happening here. I now have a lot of questions about these associate professors from institutions - what do they know and understand and whether they themselves know and understand it? Same here with Yusuf - "here everything is so simple, one, two" - and rewritten from some textbook, and it seems to be completely wrong rewritten.
singular matrix decomposition
singular matrix decomposition
So it's recognisable? Plucked from some textbook without understanding and passed off as a masterpiece of your own thought?
You mean recognisably? Taken from some textbook without understanding and passed off as a masterpiece of your own thought?
What's recognizable? It's just translated.
What's recognisable?
What is SVD then?
What is SVD then?
singular matrix decomposition, or just singular decomposition
google is working today.
http://www.igce.comcor.ru/AI_mag/svdexam.html