1 resultado para category fluency
em Massachusetts Institute of Technology
Filtro por publicador
- JISC Information Environment Repository (1)
- Repository Napier (3)
- Aberystwyth University Repository - Reino Unido (6)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
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- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
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- Aston University Research Archive (16)
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- BORIS: Bern Open Repository and Information System - Berna - Suiça (8)
- Boston University Digital Common (25)
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- Bulgarian Digital Mathematics Library at IMI-BAS (1)
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- Chinese Academy of Sciences Institutional Repositories Grid Portal (28)
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- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
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- Portal de Revistas Científicas Complutenses - Espanha (7)
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- Queensland University of Technology - ePrints Archive (322)
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- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- School of Medicine, Washington University, United States (4)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (1)
- University of Michigan (9)
- University of Queensland eSpace - Australia (10)
- WestminsterResearch - UK (2)
Resumo:
Combining numerical techniques with ideas from symbolic computation and with methods incorporating knowledge of science and mathematics leads to a new category of intelligent computational tools for scientists and engineers. These tools autonomously prepare simulation experiments from high-level specifications of physical models. For computationally intensive experiments, they automatically design special-purpose numerical engines optimized to perform the necessary computations. They actively monitor numerical and physical experiments. They interpret experimental data and formulate numerical results in qualitative terms. They enable their human users to control computational experiments in terms of high-level behavioral descriptions.