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Let be a field, and let be a finite extension of that field; in this post we will denote such a relationship by . We say that is a Galois extension of if the cardinality of the automorphism group of fixing is as large as it can be, namely the degree of the extension. In that ...
I think this function can be very useful for everyone who need to modify built-in functions temporarily! Comparison with Block Let us define some function: a := Print[b] Now we wish to pass a copy of this function into the Block scope. The naive trial does not give what we want: ...
It may well be that the way people improve has little to do with the actual vector of improvement (surgery, placebo, therapy or drugs), but more to do with the mindset and attitude of the person themself which may indeed be induced by the vector in question. ...
It is the study of linear sets of equations with transformation properties. It is almost used in all areas of Mathematics. It concerns the linear equations for the linear functions with their representation in vector spaces and matrices. The important topics covered in linear algebra are as ...
learn fast, but a terrifying way to build production systems. This is an important distinction to make. The often spoken of “danger zone” is when systems built from empirical learning are made operational and the author does not really know how it works or what the results actually mean. ...
(maths) A projection onto an arbitrary vector. Vector resolute Resolve To find a solution to; solve Resolved the problem. Resolute Having a decided purpose; determined; resolved; fixed in a determination; hence, bold; firm; steady. Edward is at hand,Ready to fight; therefore be resolute. Res...
That doesn't mean you would do pixel art for this style of art though - that would be a crazyily labour intensive way to do it! Pixel art is deliberately blocky and drawing a smooth line in it would take a long time, whilst with vector art you can bosh out a sup...
,zpi)=A(xi−x¯), where AA is the p×pp×p matrix of principal component weights (i.e. eigenvectors in each row), and x¯¯¯x¯ is the "centroid" of the data (or mean vector of the data points). So you can think of the eigenvectors as describing where the "straight...