Monte Carlo Minimization and Counting: One, Two, ..., Too Many

CiSE
2007
Issue No. 1 - January/February
Abstract - Monte Carlo Minimization and Counting: One, Two, ..., Too Many

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	Similar Articles Articles by Isabel Beichl Articles by Dianne P. O'Leary Articles by Francis Sullivan

January/February 2007 (vol. 9 no. 1)

pp. 72-80

	ASCII Text	x
	Isabel Beichl, Dianne P. O'Leary, Francis Sullivan, "Monte Carlo Minimization and Counting: One, Two, ..., Too Many," Computing in Science and Engineering, vol. 9, no. 1, pp. 72-80, January/February, 2007.

	BibTex	x
	@article{ 10.1109/MCSE.2007.14, author = {Isabel Beichl and Dianne P. O'Leary and Francis Sullivan}, title = {Monte Carlo Minimization and Counting: One, Two, ..., Too Many}, journal ={Computing in Science and Engineering}, volume = {9}, number = {1}, issn = {1521-9615}, year = {2007}, pages = {72-80}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2007.14}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - Computing in Science and Engineering TI - Monte Carlo Minimization and Counting: One, Two, ..., Too Many IS - 1 SN - 1521-9615 SP72 EP80 EPD - 72-80 A1 - Isabel Beichl, A1 - Dianne P. O'Leary, A1 - Francis Sullivan, PY - 2007 KW - Monte Carlo methods KW - sampling KW - minimization KW - computer science VL - 9 JA - Computing in Science and Engineering ER -

Isabel Beichl, NIST

Dianne P. O'Leary, University of Maryland

Francis Sullivan, IDA Center for Computing Sciences

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2007.14

Monte Carlo methods use sampling to produce approximate solutions to problems for which other methods aren't practical. In this homework assignment, we study three uses of Monte Carlo methods: for function minimization, discrete optimization, and counting.

Index Terms:

Monte Carlo methods, sampling, minimization, computer science

Citation:

Isabel Beichl, Dianne P. O'Leary, Francis Sullivan, "Monte Carlo Minimization and Counting: One, Two, ..., Too Many," Computing in Science and Engineering, vol. 9, no. 1, pp. 72-80, Jan./Feb. 2007, doi:10.1109/MCSE.2007.14

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