when you want to beat brute-force for intractable problems
In exponential time algorithms, we design and analyse algorithms for computationally intractable (typically NP-hard) problems. The aim is to reduce the running time to a moderately exponential function.
@article{FominGLS19,author={Fomin, Fedor V. and Gaspers, Serge and Lokshtanov, Daniel and Saurabh, Saket},title={Exact Algorithms via Monotone Local Search},journal={Journal of the {ACM}},volume={66},number={2},pages={8:1--8:23},year={2019},url={https://doi.org/10.1145/3284176},doi={10.1145/3284176}}
@inproceedings{GaspersL17,author={Gaspers, Serge and Lee, Edward J.},editor={Chatzigiannakis, Ioannis and Indyk, Piotr and Kuhn, Fabian and Muscholl, Anca},title={Exact Algorithms via Multivariate Subroutines},booktitle={44th International Colloquium on Automata, Languages, and Programming,
{ICALP} 2017, July 10-14, 2017, Warsaw, Poland},series={LIPIcs},volume={80},pages={69:1--69:13},publisher={Schloss Dagstuhl - Leibniz-Zentrum f{\"{u}}r Informatik},year={2017},url={https://doi.org/10.4230/LIPIcs.ICALP.2017.69},doi={10.4230/LIPICS.ICALP.2017.69}}
@article{GaspersS12,author={Gaspers, Serge and Sorkin, Gregory B.},title={A universally fastest algorithm for Max 2-Sat, Max 2-CSP, and everything
in between},journal={J. Comput. Syst. Sci.},volume={78},number={1},pages={305--335},year={2012},url={https://doi.org/10.1016/j.jcss.2011.05.010},doi={10.1016/J.JCSS.2011.05.010}}