Stockholm Jan. 2022.
KTH regulations: This is a personal web page created by Lars Jonsson. More information. You can contact me at ljonsson AT kth DOT se.
Typeset the file test.tex, from
above e.g.
pdflatex testbibtex test, e.g
bibtex test
Typeset twice again (to get the bibliography correct) e.g.
pdflatex test pdflatex test
If all worked out well, you now have the result in an pdf file. I provide mine here test.pdf.
For more details on pdflatex see eg. prepare pdf-files form LaTeX. Rather than using items like psfrag, I prefer to use Pgf/Tiks which provide a well featured graphics (latex-like) enviroment for latex. I really like the matlab2tikz macro. Data arrive into latex-like files and it is easy to add and correct text, colors etc. Please also see Colorbrewer in the help of selecting good colors
For use with ArXiv I recommend to use the style file habbrv.bst which provides eprint and can be used to include internal links.
\newcommand{\En}{\mathcal{E}}Normally one will have several such macros, and therefor it is a good idea to put it in a separate macro file. (include the file with 'include filename'). See how the files macro_dyn provides macros for test in the section 'an example' above
\input{filename}or with page breaks etc.
\include{filename}
MakeIndex filenameis straight forward on a superficial level. The program solves the technical part of indexing i.e. how to associate the position (page) with a desired word or concept in the text is there solved. The keyword to use in the LaTeX document is
\index{favorite word}It is also neccessary to include
\documentclass{book} \usepackage{makeidx}in the preamble as well as
\printindexwhere you want to print the index.
However to produce a good index, that is how an index is organization and structured and typographically presented is less that trivial.
One
document that discuss the idea of organizing (book indexing and/or back-of-book
indexing) a text (or texts) is TAO-maps. Which
discuss the model Topics Association Occurrence Maps, it clears some of the idea
structure of how a text can be indexed.
Models which answers or suggest
From my point of view, a simple index which only lists one level of topics is the easiest to construct. On the other hand, one might get several very similar words scattered through the index: e.g. surface current density, volume current density, current density, will all be split into several places e.g. under the letters c,s and v. An alternative might be to list all three as subtopics to of e.g. current density. Such a subtopic listing often has troubles with associations. E.g. imagine that we choose current and density as two separate topics, should then a current density subtopic (of density, and of current) have mutual associations between density and current (see also...)?
Ideally an index is to be a concentration of the information in a text. This ideal requires an iterative procedure to extract an appropriate set of pointers to the text, almost like constructing a miniature abstract for each paragraph.
\documentclass[10pt,twocolumn,landscape,a4paper]{article} \special{landscape}\special{! /landplus90 true store} \setlength{\oddsidemargin}{0mm} \setlength{\evensidemargin}{0mm} \addtolength{\textheight}{55mm} \addtolength{\textwidth}{43mm} \setlength{\topmargin}{0mm} \setlength{\headsep}{4mm} \voffset=-20mm \hoffset=-20mm \columnseprule=.01pt
The length parameters are optional the key is the 'twocolumn'. But this set of parameters work fine on A4 paper.
:%!xxdto see a hex-representation of the file. To stop the viewing:
:%!xxd -rand to remove the bom:
:set nobomb