When scientists today talk of a mathematical model, they usually do not refer to objects such as those presented in this Collection, but to a formalized description − employing mathematical means − of a sub-problem from the world we experience. The more precisely an event is “modeled,” the better it can be predicted. Accurate weather forecasts, analyses of financial markets and the characterization of complicated processes from physics, chemistry and biology become possible when the power of computers is harnessed. Despite these obvious successes in almost all areas of life, despite their key role in advanced technology, and despite many attempts at mediation, mathematicians and the rest of society remain thoroughly divided: Their formalistic science is often regarded as incomprehensible and remote, not least because of its highly condensed language.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:93553 |
| Date | 03 September 2024 |
| Creators | Lordick, Daniel |
| Contributors | Kustodie der Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:bookPart, info:eu-repo/semantics/bookPart, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 978-3-95498-820-4, urn:nbn:de:bsz:14-qucosa2-935223, qucosa:93522 |
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