From: SZABO Sandor <sszabo@chardonnay.math.bme.hu>
Subject: Re: I need to understand Lebesgue spaces/norms
Date: Thu, 26 Oct 2000 16:59:21 +0200
Newsgroups: sci.math.num-analysis,comp.soft-sys.matlab,sci.math.research
To: sci-math-research@moderators.isc.org
Summary: [missing]

Brien Alkire wrote:

> I'm also an engineer, but with perhaps a bit more math background (BS in
> math).  I find the following useful:
>
> H. S. Bear, "A Primer of Lebesque Integration", Academic Press, 1995.
>
> Richard Durrett.  "Probability:  Theory and Examples".  Duxbury Press, 1996
> (has a nice appendix on analysis).
>
> D. G. Luenberger.  "Optimization by Vector Space Methods".  Wiley & Sons,
> 1969.
>
> Also, Erhan Cinlar and Robert J. Vanderbei of Princeton were working on a
> book titled "Mathematical Methods of Engineering Analysis".  I happened to
> download an early draft from their website a couple of years ago.  You might
> search around and see if it's in print or is still available from their
> websites at Princeton.
>
> Regards,
>
> Brien
>
> "T&C" <tomcip@concentric.net> wrote in message
> news:39F345D7.D7896EFB@concentric.net...
> > Hi,
> >
> > I am an engineer and have all the requisite math background of a BSEE. I
> > am by no means a mathematician but I do use a lot of linear algebra,
> > statistics, transforms, etc.
> >
> > I have recently come up against situations where I would indeed benefit
> > from a knowledge of vector spaces, normed vector spaces and Lebesgue
> > spaces (Ln Norms) . However, I have only found reference materials which
> > assume a lot more from the reader than I can handle at the present time.
> > I am not even really sure of the particular branch of mathematics this
> > falls under. Is it real-analysis or topology.
> >
> > Going back to university is not an option for me right now (I have a
> > good job and my wife told me that she and the kids would like to keep on
> > eating regularly).
> >
> > Please point me in the direction of reference materials which might be a
> > little easier to take on in a self study environment (books, papers,
> > internet presentations).
> >
> > Thank You
> > Tom Cipollone
> > tomcip@concentric.net
>
> .

http://www.princeton.edu/~rvdb/ , more exactly,
http://www.princeton.edu/~rvdb/506book/book.pdf

Good luck

Sandor Szabo
sszabo@math.bme.hu