<?xml version="1.0"?>
<!-- name="generator" content="blosxom/2.0" -->
<!DOCTYPE rss PUBLIC "-//Netscape Communications//DTD RSS 0.91//EN" "http://my.netscape.com/publish/formats/rss-0.91.dtd">

<rss version="0.91">
  <channel>
    <title>Notebooks   </title>
    <link>http://bactra.org/notebooks</link>
    <description>Cosma's Notebooks</description>
    <language>en</language>

  <item>
    <title>Math I Ought to Learn</title>
    <link>http://bactra.org/notebooks/2009/09/07#math</link>
    <description>

&lt;blockquote&gt; Some of you may have had occasion to run into mathematicians and
to wonder therefore how they got that way...
	&lt;br&gt;---&lt;a href=&quot;http://www.wiw.org/~drz/tom.lehrer/&quot;&gt;Tom Lehrer&lt;/a&gt;,
&quot;&lt;a href=&quot;http://www.wiw.org/~drz/tom.lehrer/revisited.html#lobachevsky&quot;&gt;The
Great Lobachevsky&lt;/a&gt;&quot; &lt;/blockquote&gt;

&lt;P&gt;I know so little math for someone in my position that frankly I sometimes
feel like a fraud.  And much of what I do know is the half-wrong &lt;a
href=&quot;physics.html&quot;&gt;physicist's&lt;/a&gt; version.

&lt;P&gt;Abstract algebra (beyond group theory): universal algebra, category theory,
lattice theory.  Functional analysis (for real, not just the rudiments needed
for probability and &lt;a href=&quot;markov.html&quot;&gt;Markov&lt;/a&gt; processes).

&lt;P&gt;&lt;em&gt;See also:&lt;/em&gt;
	&lt;a href=&quot;cellular-automata.html&quot;&gt;Cellular Automata&lt;/a&gt;;
	&lt;a href=&quot;computation.html&quot;&gt;Computation, Automata, Languages&lt;/a&gt;;
	&lt;a href=&quot;chaos.html&quot;&gt;Dynamics&lt;/a&gt;;
	&lt;a href=&quot;economics.html&quot;&gt;Economics&lt;/a&gt;;
	&lt;a href=&quot;mathematical-logic.html&quot;&gt;Mathematical Logic&lt;/a&gt;;
	&lt;a href=&quot;probability.html&quot;&gt;Probability Theory&lt;/a&gt;;
	&lt;a href=&quot;statistics.html&quot;&gt;Statistics&lt;/a&gt;

&lt;ul&gt;Recommended:
	&lt;li&gt;Paul Alexandroff&lt;/strong&gt;, &lt;cite&gt;Elementary Concepts of
Topology&lt;/cite&gt; [With an introduction by Hilbert!]
	&lt;li&gt;A. D. Aleksandrov, A. N. Kolmogorov, and M. A. Lavrent'ev (eds.), 
&lt;cite&gt;Mathematics: Its Content, Methods and Meaning&lt;/cite&gt; [Everything you ever
wanted to know about math, but were afraid a Russian professor would tell you.
Now available in a cheap, one-volume Dover edition.]
	&lt;li&gt;V. I. Arnol'd, &lt;cite&gt;Ordinary Differential Equations&lt;/cite&gt;
	&lt;li&gt;J. L. Berggren, &lt;cite&gt;Episodes in the Mathematics of Medieval
Islam&lt;/cite&gt;
	&lt;li&gt;Paulus Gerdes, &lt;cite&gt;Marx Demystifies Calculus&lt;/cite&gt;; translated
by Beatrice Lumpkin (from &lt;cite&gt;Karl Marx arrancar o veu misterioso a
matematica&lt;/cite&gt;; I was puzzled about what language this was, but a
correspondent helpfully tells me it's Portuguese).  Minneapolis: MEP
Publications, 1985, as vol. 16 of &lt;cite&gt;Studies in Marxism&lt;/cite&gt;.  [Collects
and expounds Marx's writings on mathematics and dialectics, for the benefit of
students confused by bourgeois explanations of differentiation and integration.
No I am &lt;em&gt;not&lt;/em&gt; making this up, I found it myself in Doe Memorial Library
at Berkeley, with my own two hands I turned the pages.]
	&lt;li&gt;G. H. Hardy, &lt;cite&gt;A Mathematician's Apology&lt;/cite&gt;
	&lt;li&gt;J. L. Heilbron, &lt;cite&gt;Geometry Civilized: History, Culture, and
Technique&lt;/cite&gt; [&lt;a href=&quot;../reviews/geometry-civilized/&quot;&gt;Review: Construction
of the Rhodian Shore, with Straightedge and Compass&lt;/a&gt;]
	&lt;li&gt;George Gheverghese Joseph, &lt;cite&gt;The Crest of the Peacock:
Non-European Roots of Mathematics&lt;/cite&gt;
	&lt;li&gt;Mark Kac
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Enigmas of Chance&lt;/cite&gt; [His autobiography; not very
profound, but an excellent view into the mind a modern mathematician.  Kac was
&lt;em&gt;very&lt;/em&gt; good, and his pedagogy, at least in writing, flawless, but (to
use his own terms, which he doesn't apply to himself) he was a mere
garden-variety genius, someone who thinks like your or I would, if only we were
much smarter, instead of a freak like Feynman or &lt;a href=&quot;von-neumann.html&quot;&gt;von
Neumann&lt;/a&gt;.  It's a lot easier to learn from garden-variety geniuses.]
		&lt;li&gt;&lt;cite&gt;Probability and Related Topics in Physical
Sciences&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Statistical Independence in Probability, Analysis and
Number Theory&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Integration in Function Spaces&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Philip Kitcher, &lt;cite&gt;The Nature of Mathematical Knowledge&lt;/cite&gt;
[I'm not sure I quite agree with Kitcher's views about the nature of
mathematical reality, but I very much like, and agree with, his views about how
mathematics develops, and his sketch of how mathematics &lt;em&gt;could be&lt;/em&gt; an
empirical science.  (But I think his account fails when it comes to logic.)  &lt;a
href=&quot;http://www.nyrev.com/nyrev/WWWarchdisplay.cgi?19840216036R&quot;&gt;Review by Ian
Hacking&lt;/a&gt;]
	&lt;li&gt;Neil Gershenfeld, &lt;cite&gt;The Nature of Mathematical
Modeling&lt;/cite&gt;
	&lt;li&gt;A. N. Kolmogorov and S. V. Fomin, &lt;cite&gt;Introduction to Real
Analysis&lt;/cite&gt; [An extremely good introduction not just to real analysis, but
also to the elements of complex and functional analysis, and of measure theory]
	&lt;li&gt;John McCleary, &lt;cite&gt;A First Course in Topology: Invariance
and Dimension&lt;/citE&gt; [&lt;a href=&quot;../weblog/algae-2008-04.html#topology&quot;&gt;Mini-review&lt;/a&gt;]
	&lt;li&gt;W. V. O. Quine, &lt;cite&gt;Mathematical Logic&lt;/cite&gt; [Rashly &lt;a
href=&quot;../reviews/mathematical-logic/&quot;&gt;reviewed&lt;/a&gt;]
	&lt;li&gt;David Ruelle
		&lt;ul&gt;
		&lt;li&gt;&quot;&lt;a
href=&quot;http://www.ma.utexas.edu/mp_arc-bin/mpa?yn=98-483&quot;&gt;Conversations on
Mathematics with a Visitor from Outer Space&lt;/a&gt;&quot;
		&lt;li&gt;&lt;cite&gt;Chance and Chaos&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;The Mathematician's Brain&lt;/cite&gt; [&lt;a
href=&quot;../weblog/algae-2008-04.html#ruelle&quot;&gt;Mini-review&lt;/a&gt;]
		&lt;/ul&gt;
	&lt;li&gt;Bertrand Russell, &lt;cite&gt;Introduction to Mathematical
Philosophy&lt;/cite&gt; [Was it Quine who called this the &lt;cite&gt;Principilla&lt;/cite&gt;?
If not, it should have been.  Read this before Quine.]
	&lt;li&gt;Bernard F. Schutz, &lt;cite&gt;Geometrical Methods of Mathematical
Physics&lt;/cite&gt;[Long &lt;a href=&quot;../reviews/geometrical-methods/&quot;&gt;review&lt;/a&gt;, with
some history and explication of differential geometry]
	&lt;li&gt;Michael Spivak, &lt;cite&gt;Calculus on Manifolds&lt;/cite&gt;
	&lt;li&gt;Ian Stewart and David Tall, &lt;cite&gt;Complex Analysis, the
Hitchhiker's Guide to the Plane&lt;/cite&gt;
	&lt;li&gt;&lt;a href=&quot;http://www.math.ucla.edu/~tao/&quot;&gt;Terence
Tao&lt;/a&gt;, &lt;cite&gt;Structure and Randomness: Pages from Year One of a Mathematical
Blog&lt;/cite&gt; [Or you could just read
the &lt;a href=&quot;http://terrytao.wordpress.com/&quot;&gt;blog&lt;/a&gt;.  My
review: &lt;a
href=&quot;http://www.americanscientist.org/bookshelf/pub/obstacles-and-tricks&quot;&gt;Obstacles
and Tricks&lt;/a&gt;]
	&lt;li&gt;Sylvanus P. Thompson, &lt;cite&gt;Calculus Made Easy&lt;/cite&gt;
[&quot;Considering how many fools can calculate, it is surprising that other fools
think it is difficult... What one fool can do, another can.&quot;  Ignores all
sorts of subtleties about limits, which makes it excellent for &lt;em&gt;learing&lt;/em&gt;
calculus.  Analysis can come later.]
	&lt;li&gt;&lt;a href=&quot;von-neumann.html&quot;&gt;John von Neumann&lt;/a&gt;
	&lt;li&gt;&lt;a href=&quot;wiener.html&quot;&gt;Norbert Wiener&lt;/a&gt;
	&lt;/ul&gt;

&lt;ul&gt;To read, popular and miscellanea:
	&lt;li&gt;Courant, with Herbert Robbins, &lt;cite&gt;What is Mathematics?&lt;/cite&gt;
	&lt;li&gt;Philip Davis
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Thomas Gray in Copenhagen: In Which the Philosopher
Cat Meets the Ghost of Hans Christian Andersen&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;The Thread: a Mathematical Yarn&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Anatolii Fomenko, &lt;cite&gt;Mathematical Impressions&lt;/cite&gt;
	&lt;li&gt;Caroll V. Newsom, &lt;cite&gt;Mathematical Discourses: The Heart of
Mathematical Science&lt;/cite&gt; [The blurb for this book (1964) is so remarkable I can't resist quoting it at length.
&lt;blockquote&gt;The mathematicizing of science has led to revolutionary changes in
our civilization, especially in recent years. In addition, new approaches to
the study of many aspects of human knowledge have been made possible by what
scholars have learned through their struggle to undersand the nature of
mathematics. Thus a person living in our time can hardly be characterized as
educated unless he has some understanding of the fundamental concepts of
mathematical science, their meaning, and their proper utilization.
&lt;br&gt;Yet, hardly any expositions treating these subjects are available to the
inquisitive reader who possesses limited mathematical background. Some
excellent books and articles upon the foundations of mathematics have been
written for the professional mathematician or logician, but the sophistication
of their approach is such that only a few members of the reading public can
understand them. The concern of most popular books on mathematics, on the other
hand, is merely with interesting problems and anecdotes that appear upon the
fringe of mathematical knowledge; little attention is given to mathematics as a
systematic discipline.
&lt;br&gt;This little treatise, therefore, written for the nonmathematician, is
concerned with mathematical discourses, which are central to all mathematical
study. Unless a person has some familiarity with the concept of mathematical
discourse, he is not prepared to understand even the rudiments of modern
mathematics and its significance. An understanding of the subject of this book,
in other words, is eesential to mathematical literacy.&lt;/blockquote&gt;]
	&lt;li&gt;Hugo Steinhaus, &lt;cite&gt;Mathematical Snapshots&lt;/cite&gt;
	&lt;li&gt;Ian Stewart
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Nature's Numbers: the Unreal Reality of
Mathematical Imagination&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;The Problems of Mathematics&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;/ul&gt;

&lt;ul&gt;To read, history and philosophy:
	&lt;li&gt;Andrew Aberdein, &quot;The Uses of Argument in Mathematics&quot;,
&lt;a href=&quot;http://arxiv.org/abs/math.HO/0504090&quot;&gt;math.HO/0504090&lt;/a&gt;
	&lt;li&gt;Archimedes, &lt;cite&gt;Works&lt;/cite&gt;
	&lt;li&gt;Jody Azzouni, &lt;cite&gt;Metaphysical Myths, Mathematical Practice:
The Ontology and Epistemology of the Exact Sciences&lt;/cite&gt;
[&lt;a href=&quot;http://cambridge.org/0521442230&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Florian Cajori, &lt;cite&gt;Mathematics in Liberal Education&lt;/cite&gt;
	&lt;li&gt;Jean-Luc Chabert (ed.), &lt;cite&gt;A History of Algorithms: From
the Pebble to the Microchip&lt;/cite&gt;
	&lt;li&gt;W. K. Clifford, &lt;cite&gt;Common Sense of the Exact Sciences&lt;/cite&gt;
(&quot;Edited and with a pref. by Karl Pearson; newly edited and with an introd. by
James R. Newman; pref. by Bertrand Russell&quot;)
	&lt;li&gt;E. J. Dijksterhuis, &lt;cite&gt;Archimedes&lt;/cite&gt;
	&lt;li&gt;Charles Coulston Gillispie, &lt;cite&gt;Pierre-Simon Laplace, 1749--1827:
A Life in Exact Science&lt;/cite&gt;
	&lt;li&gt;Luke Hodgkin, &lt;cite&gt;A History of Mathematics: From Mesopotamia to
Modernity&lt;/cite&gt; [&lt;a href=&quot;http://www.oup.co.uk/isbn/0-19-852937-6&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Jens Hoyrup, &lt;cite&gt;Lengths, Widths, Surfaces: A Portrait of
Old Babylonian Algebra and Its Kin&lt;/cite&gt;
	&lt;li&gt;Penelope Maddy, &lt;cite&gt;Naturalism in Mathematics&lt;/cite&gt;
	&lt;li&gt;Reviel Netz, &lt;cite&gt;The Transformation of Mathematics in the Early
Mediterranean World: From Problems to Equations&lt;/cite&gt; [&lt;a href=&quot;http://cambridge.org/9780521829960&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Polya
		&lt;ul&gt;
		&lt;li&gt;&lt;citE&gt;Patterns of Plausible Inference&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;How to Solve It&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Constance Reid
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Courant and Hilbert&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Julia&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;A Long Way from Euclid&lt;/cite&gt;
[&lt;a href=&quot;http://store.doverpublications.com/0486436136.html&quot;&gt;blurb&lt;/a&gt;]
		&lt;/ul&gt;
	&lt;li&gt;William P. Thurston, &quot;On proof and progress in mathematics&quot;,
&lt;a href=&quot;http://arxiv.org/abs/math.HO/9404236&quot;&gt;arxiv:math.HO/9404236&lt;/a&gt;
[&lt;a
href=&quot;http://quomodocumque.wordpress.com/2009/02/08/thurston-on-proof-and-progress-in-mathematics/&quot;&gt;Comments
by Jordan Ellenberg&lt;/a&gt;]
	&lt;li&gt;V. S. Varadarajan, &lt;cite&gt;Algebra in Ancient and Modern Times&lt;/cite&gt;
	&lt;/ul&gt;

&lt;ul&gt;To read, pedagogical:
	&lt;li&gt;Walter Appel, &lt;cite&gt;Mathematics for Physics and Physicists&lt;/cite&gt;
[&lt;a href=&quot;http://press.princeton.edu/titles/8452.html&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Axler, &lt;citE&gt;Linear Algebra Done Right&lt;/cite&gt;
	&lt;li&gt;Richard Beals, &lt;cite&gt;Analysis: An Introduction&lt;/cite&gt;
	&lt;li&gt;Adam Bobrowski, &lt;cite&gt;Functional Analysis for Probability and
Stochastic Processes: An Introduction&lt;/cite&gt; [&lt;a href=&quot;http://cambridge.org/0521539374&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Victor Bryant, &lt;cite&gt;Yet Another Introduction to
Analysis&lt;/cite&gt; [&lt;a href=&quot;http://cambridge.org/9780521388351&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Peter J. Cameron, &lt;cite&gt;Combinatorics: Topics, Techniques,
Algorithms&lt;/cite&gt;
	&lt;li&gt;J. Scott Carter, &lt;cite&gt;How Surfaces Intersect in Space: An
Introduction to Topology&lt;/cite&gt;
	&lt;li&gt;Ebbinghaus, Hermes, Hirzebruch, Koecher, Remmert, Mainzer, Neukirch
and Presetel, &lt;cite&gt;Numbers&lt;/cite&gt;
	&lt;li&gt;Robert Geroch, &lt;cite&gt;Mathematical Physics&lt;/cite&gt; [&quot;Really, it all
becomes much clearer once you start using category theory! Wait, don't run
away!  Why are you all looking at me like that?  Doesn't anyone believe me?&quot;
(Not an actual quote from what looks like a very nice book.)]
	&lt;li&gt;J&amp;uuml;rgen Jost
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Partial Differential Equations&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Postmodern Analysis&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Riemannian Geometry and Geometric Analysis&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Tristan Needham &lt;cite&gt;Visual Complex Analysis&lt;/cite&gt;
	&lt;/ul&gt;

&lt;ul&gt;To read, technical:
	&lt;li&gt;Artin, &lt;cite&gt;Modern Algebra&lt;/cite&gt;
	&lt;li&gt;Keith Ball, &quot;An Elementary Introduction to Modern Convex
Geometry&quot;
	&lt;li&gt;Vasile Berinde, &lt;cite&gt;Iterative Approximation of Fixed Points&lt;/cite&gt;
	&lt;li&gt;Birkhoff, &lt;cite&gt;Lattice Theory&lt;/cite&gt;
	&lt;li&gt;Birkhoff and MacLane, &lt;cite&gt;A Survey of Modern Algebra&lt;/cite&gt;
	&lt;li&gt;Jonathan Borwein and David Bailey, &lt;cite&gt;Mathematics by Experiment:
Plausible Reasoning in the 21st Century&lt;/cite&gt;
[&lt;a href=&quot;http://www.americanscientist.org/bookshelf/pub/serving-a-silicon-master&quot;&gt;Review
in &lt;cite&gt;American Scientist&lt;/cite&gt;&lt;/a&gt;]
	&lt;li&gt;Jonathan Borwein, David Bailey and Roland
Girgensohn, &lt;cite&gt;Experimentation in Mathematics: Computational Paths to
Discovery&lt;/cite&gt; [&lt;a href=&quot;http://www.americanscientist.org/bookshelf/pub/serving-a-silicon-master&quot;&gt;Review
in &lt;cite&gt;American Scientist&lt;/cite&gt;&lt;/a&gt;]
	&lt;li&gt;Burris and Sankappanavar, &lt;cite&gt;A Course in Universal
Algebra&lt;/cite&gt; [&lt;a
href=&quot;http://www.thoralf.uwaterloo.ca/htdocs/ualg.html&quot;&gt;on-line&lt;/a&gt;]
	&lt;li&gt;Choquet-Bruhat, DeWitt-Morette and Dillard-Bleick, &lt;cite&gt;Analysis,
Manifolds and Physics&lt;/cite&gt; 
	&lt;li&gt;Paul M. Cohn, &lt;cite&gt;Universal Algebra&lt;/cite&gt; [Anyone have a copy
they'd be willing to sell?]
	&lt;li&gt;Thierry Coquand and Henri Lombardi, &quot;A logical approach to abstract
algebra&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1017/S0960129506005627&quot;&gt;&lt;cite&gt;Mathematics Structures
in Computer Science&lt;/cite&gt;
&lt;strong&gt;16&lt;/strong&gt; (2006): 885--900&lt;/a&gt;
	&lt;li&gt;Courant
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Introduction to Calculus and Analysis&lt;/cite&gt;
		&lt;li&gt;and David Hilbert, &lt;cite&gt;Methods of Mathematical
Physics&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;B. A. Davey and H. A. Priestly, &lt;cite&gt;Introduction to Lattices
and Order&lt;/cite&gt;
	&lt;li&gt;Reinhard Diestel, &lt;cite&gt;Graph Theory&lt;/cite&gt; [&lt;a
href=&quot;http://www.math.uni-hamburg.de/home/diestel/books/graph.theory/&quot;&gt;online&lt;/a&gt;]
	&lt;li&gt;Timothy Gowers (ed.), &lt;cite&gt;The Princeton Companion to Mathematics&lt;/cite&gt;
	&lt;li&gt;Xavier Gr&amp;acute;cia, Miguel C. Munoz-Lecanda, Narciso Roman-Roy,
&quot;On some aspects of the geometry of differential equations in physics&quot;, &lt;a
href=&quot;http://arxiv.org/abs/math-ph/0402030&quot;&gt;math-ph/0402030&lt;/a&gt;
	&lt;li&gt;B. Grunbaum and G. C. Shephard, &lt;cite&gt;Tiling and Patterns&lt;/cite&gt;
	&lt;li&gt;Paul R. Halmos
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;An Introduction to Hilbert Space and the Theory of Spectral
Multiplicity&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Measure Theory&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Naive Set Theory&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Mark Kac, &lt;cite&gt;Selected Papers&lt;/cite&gt;
	&lt;li&gt;Gerald Kaiser, &lt;cite&gt;A Friendly Guide to Wavelets&lt;/cite&gt;
	&lt;li&gt;Yitzhak Katznelson, &lt;cite&gt;An Introduction to Harmonic
Analysis&lt;/cite&gt; [&lt;a href=&quot;http://cambridge.org/9780521543590&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Solomon Lefschetz, &lt;cite&gt;Algebraic Geometry&lt;/cite&gt;
	&lt;li&gt;Lipkin, &lt;cite&gt;Lie Groups for Pedestrians&lt;/cite&gt;
	&lt;li&gt;Sanders MacLane, &lt;cite&gt;Categories for the Working Mathematician&lt;/cite&gt;
	&lt;li&gt;James Munkres, &lt;cite&gt;Topology&lt;/cite&gt;
	&lt;li&gt;J. D. Murray, &lt;cite&gt;Mathematical Biology&lt;/cite&gt;
	&lt;li&gt;Yves Nievergelt, &lt;cite&gt;Wavelets Made Easy&lt;/cite&gt;
	&lt;li&gt;Ivan Niven, &lt;cite&gt;Mathematics of Choice: Or, How to Count
without Counting&lt;/citE&gt;
	&lt;li&gt;Jonathan Partington, &lt;cite&gt;Interpolation, Identification and
Sampling&lt;/cite&gt;
	&lt;li&gt;Pedersen, &lt;cite&gt;Analysis Now&lt;/cite&gt;
	&lt;li&gt;Mark Ptekovsek, Herbert Wilf and Doron Zeilberger, &lt;cite&gt;A =
B&lt;/cite&gt; [&lt;a href=&quot;http://www.cis.upenn.edu/~wilf/AeqB.html&quot;&gt;online&lt;/a&gt;]
	&lt;li&gt;Frigyes Riesz and B&amp;eacute;la Sz.-Nagy, &lt;cite&gt;Functional
Analysis&lt;/cite&gt;
	&lt;li&gt;Walter Rudin
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Functional Analysis&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Principles of Mathematical Analysis&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;R. E. Showalter, &lt;cite&gt;Hilbert Space Methods for Partial
Differential Equations&lt;/cite&gt; [&lt;a
href=&quot;http://ejde.math.swt.edu/Monographs/01/abstr.html&quot;&gt;Free online&lt;/a&gt;]
	&lt;li&gt;Michael J. Steele, &lt;cite&gt;The Cauchy-Schwarz Master Class: An Introduction to the Art of Mathematical Inequalities&lt;/cite&gt;
	&lt;li&gt;Ian Stewart
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Galois Theory&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Lie Algebras&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Stroock, &lt;cite&gt;Probability Theory: An Analytic View&lt;/cite&gt;
	&lt;li&gt;Klaus Truemper, &lt;cite&gt;Matroid Decomposition&lt;/cite&gt; [&lt;a
href=&quot;http://www.emis.de/monographs/md/&quot;&gt;online&lt;/a&gt;]
	&lt;li&gt;R. F. C. Walters, &lt;cite&gt;Categories and Computer Science&lt;/cite&gt;
	&lt;li&gt;Robert J. Zimmer, &lt;cite&gt;Essential Results of Functional Analysis&lt;/cite&gt;
	&lt;/ul&gt;
</description>
  </item>
  </channel>
</rss>