GitHub - srinivas9804/codebook: Reference material for ACM-ICPC

srinivas9804 / codebook Public

forked from t3nsor/codebook

Notifications You must be signed in to change notification settings
Fork 0
Star 0

Reference material for ACM-ICPC

0 stars 184 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Licenses		Licenses
.gitignore		.gitignore
2sat.cpp		2sat.cpp
BIT-range.cpp		BIT-range.cpp
BIT.cpp		BIT.cpp
BUILD		BUILD
KMP.cpp		KMP.cpp
LICENSING		LICENSING
README		README
SBT.cpp		SBT.cpp
ansv.cpp		ansv.cpp
bignum.cpp		bignum.cpp
bipartite-mincost.cpp		bipartite-mincost.cpp
bipartite.cpp		bipartite.cpp
bridges.cpp		bridges.cpp
bsearch.c		bsearch.c
chtrick.cpp		chtrick.cpp
codebook.tex		codebook.tex
delaunay.cpp		delaunay.cpp
dinic.cpp		dinic.cpp
eulerian.cpp		eulerian.cpp
fft.cpp		fft.cpp
gaussian.cpp		gaussian.cpp
general-matching.cpp		general-matching.cpp
geom-2d.cpp		geom-2d.cpp
geom-3d.cpp		geom-3d.cpp
manacher.cpp		manacher.cpp
mcmf4.cpp		mcmf4.cpp
mincut.cpp		mincut.cpp
modular.cpp		modular.cpp
monotone.cpp		monotone.cpp
pollard-rho.cpp		pollard-rho.cpp
rref.cpp		rref.cpp
scc.cpp		scc.cpp
segtree.cpp		segtree.cpp
simplex.cpp		simplex.cpp
stablemp.cpp		stablemp.cpp
suffix-array.cpp		suffix-array.cpp
totient.cpp		totient.cpp
welzl.cpp		welzl.cpp
yarin.cpp		yarin.cpp

Repository files navigation

This notebook is intended as reference material for a team participating in the
ACM-ICPC World Finals or any regional competition that allows up to 25 pages of
printed reference material. It incorporates code from various sources and is
based on the notebook used by contestants at the University of Toronto from
2013 to 2014.

Because this version of the notebook is intended for redistribution, it
excludes a small amount of proprietary code present in U. of T.'s official team
notebook.

The philosophy used when compiling this notebook was to include material that
will be most useful for experienced contestants, in terms of reducing the
amount of time spent coding and/or debugging. It therefore excludes algorithms
that serious contestants would be able to code quickly and correctly with a
minimum of effort, such as Dijkstra's algorithm. Most of the material in this
notebook is therefore less common, theoretically nontrivial, or tricky to get
right on the first try.