The strange thing about life is how things seem to occur in cycles. Like how out of a sudden, Linear Algebra is returning once more as a major topic in the classes that I am taking. In two completely disparate classes, the concepts of linear algebra popped up today. And of course, coming from the GCE 'A'-level examination system meant that I had previously messed around with the linear algebra before.
The strange thing about the term "linear" lies in the fact that it always sounds easy, I mean, what can be easier than a linear system, right? Except not. Everything else that is called "linear" as far as I know, display characteristics that are much further from the truth. Linear algebra is one of them, another might be that of linear cryptanalysis, a technique for code-breaking. And of course, trying to attain linear time for many algorithms is just too much of a hassle for the most part, which makes this hard too.
The strange thing about this post is that I started this post quite a while back, but didn't have the time/energy/heart to put more words to it to finally complete it. Until now, I guess.
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On a wholly unrelated note, I realise that this semester is not as smooth-sailing as initially envisioned—there seems to be a huge amount of work that is to be done, though in theory most of all these can be completed in a not-too-hard fashion. The quantity is tremendous, but perhaps I might prevail. Past images of the previous semester keep coming back to haunt me, but I think that perhaps those images are not justifiable—I'm more than half way through my undergraduate career, and so in theory I am a little wiser than before and am not taking classes that can totally wreak havoc on all that I strive for.
2 comments:
I've always never made the head or tail out of linear algebra. Just anyhow whack the linear algebra question. Guess my foundation is slightly lacking.
Hmm... Your blog is still dead? Or do you have a nice new shiny link that I still don't know about?
Meanwhile, I strongly suggest that you brush up your linear algebra—it is kinda useful in many fields of Mathematics and computer science. Simply because linear systems are almost everywhere.
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