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In chaos theory, the butterfly effect is the sensitive dependence on initial conditions in which a small change in one state of a deterministic nonlinear system can result in large differences in a later state.
- Efeito Borboleta
Efeito borboleta foi uma metáfora utilizada pelo...
- The Butterfly Effect
The Butterfly Effect is a 2004 American science fiction...
- Butterfly Effect in Popular Culture
The butterfly effect describes a phenomenon in chaos theory...
- Efeito Borboleta
Efeito borboleta foi uma metáfora utilizada pelo meteorologista Edward Lorenz, professor do Instituto de Tecnologia Meteorológica de Massachusetts, para explicar a impossibilidade de previsão de fenômenos atmosféricos por mais que alguns dias, em 1969 no 139º American Association for the Advancement of Science (Encontro da ...
The Butterfly Effect is a 2004 American science fiction thriller film written and directed by Eric Bress and J. Mackye Gruber. It stars Ashton Kutcher, Amy Smart, Eric Stoltz, William Lee Scott, Elden Henson, Logan Lerman, Ethan Suplee, and Melora Walters. The title refers to the butterfly effect.
The Butterfly Effect (bra/prt: Efeito Borboleta) [3] [4] é um filme estadunidense de ficção científica do estilo thriller lançado em 2004, escrito e dirigido por Eric Bress e J. Mackye Gruber, estrelado por Ashton Kutcher, Amy Smart, Eric Stoltz, William Lee
The butterfly effect describes a phenomenon in chaos theory whereby a minor change in circumstances can cause a large change in outcome.
Butterfly effect. Methane is the second most abundant anthropogenic (caused by human action or inaction) greenhouse gas after carbon dioxide (CO 2 ), accounting for about 20 percent of global emissions. Methane is more than 25 times as potent as carbon dioxide at trapping heat in the atmosphere.
バタフライ効果 （バタフライこうか、 英: butterfly effect ）は、 力学系 の状態にわずかな変化を与えると、そのわずかな変化が無かった場合とは、その後の系の状態が大きく異なってしまうという現象 [1] 。 カオス理論 で扱う カオス運動 の予測困難性、初期値鋭敏性を意味する標語的、寓意的な表現である [2] 。 気象学者 の エドワード・ローレンツ による、「 蝶 がはばたく程度の非常に小さな撹乱でも遠くの場所の 気象 に影響を与えるか?」という問い掛けと、もしそれが正しければ、観測 誤差 を無くすことができない限り、正確な長期予測は根本的に困難になる、という 数値予報 の研究から出てきた提言に由来する [3] 。 意味.
