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dc.contributor.authorSaavedra-Rosas, Jose
dc.contributor.authorJarosz, Andrew
dc.date.accessioned2017-01-30T10:30:34Z
dc.date.available2017-01-30T10:30:34Z
dc.date.created2012-10-22T20:00:21Z
dc.date.issued2012
dc.identifier.citationSaavedra-Rosas, Jose and Jarosz, Andrew. 2012. From Analytical to Computational: Revisiting Subsidence Prediction with New Tools. Cuprum Ore Mining Scientific and Technical Magazine / Czasopismo Naukowo-Techniczne Gornictwa Rud "Cuprum". 63 (2): pp. 75-83.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/3354
dc.description.abstract

According to an old saying "when all you have is a hammer, every problem looks like a nail". In many cases this maxim applies to our research, analytical activities and abilities to model and solve real case studies. The current speed of technological developments makes sooner or later our toolboxes, developed and built in the past, obsolete. This motivates and validates the question whether it is reasonable to revisit some old problems and assess the quality of the solutions we have available for them now. In particular, authors use an example, relating to prediction (calculation) of mine subsidence, to illustrate how this problem can be revisited and solution methods updated using new computational techniques.

dc.publisherKGHM CUPRUM Ltd. R&D Centre
dc.subjectmine subsidence
dc.subjectinfluence function
dc.subjectcellurar automata
dc.titleFrom Analytical to Computational: Revisiting Subsidence Prediction with New Tools
dc.typeJournal Article
dcterms.source.volume63
dcterms.source.number2
dcterms.source.startPage75
dcterms.source.endPage83
dcterms.source.issn01372815
dcterms.source.titleCuprum Ore Mining Scientific and Technical Magazine (in Polish: Czasopismo Naukowo-Techniczne Gornictwa Rud "Cuprum"
curtin.department
curtin.accessStatusFulltext not available


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