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Há 1 dia · Anders Johan Lexell. Signature. Leonhard Euler ( / ˈɔɪlər / OY-lər, [b] German: [ˈleːɔnhaʁt ˈʔɔʏlɐ] ⓘ, Swiss Standard German: [ˈleːɔnhart ˈɔʏlər]; 15 April 1707 – 18 September 1783) was a Swiss mathematician, physicist, astronomer, geographer, logician, and engineer who founded the studies of graph theory and topology ...
Há 4 dias · A fundamental result in analytical mechanics is D'Alembert's principle, introduced in 1708 by Jacques Bernoulli to understand static equilibrium, and developed by D'Alembert in 1743 to solve dynamical problems.
Há 5 dias · A differential equation. y′ + p(x)y = g(x)yα, y ′ + p ( x) y = g ( x) y α, where α is a real number not equal to 0 or 1, is called a Bernoulli differential equation. It is named after Jacob (also known as James or Jacques) Bernoulli (1654--1705) who discussed it in 1695. Jacob Bernoulli was born in Basel, Switzerland.
Há 6 dias · John Bernoulli also discovered a general method into specify evolutes of a curve as the envelope of yours circles of curvature. He also investigated caustic curves and include particular he studied these associated curves the the parabola , the logarithmic spiral and epicycloids around 1692.
Há 5 dias · 4 others. contributed. The birthday problem (also called the birthday paradox) deals with the probability that in a set of n n randomly selected people, at least two people share the same birthday. Though it is not technically a paradox, it is often referred to as such because the probability is counter-intuitively high.
Há 1 dia · This reminds me of an old story about Isaac Newton, which is recounted in the Later Life of Isaac Newton Wikipedia page. In 1697, Newton was 55 years old and working as Warden of the Mint. After a long day, he returned home to find a letter from Johann Bernoulli, which proposed a couple of mathematical problems “for the finest mathematicians of Europe” to solve.
Há 5 dias · This particular example will return the probability associated with an outcome of 0 and an outcome of 1 for a Bernoulli distribution that has a probability of success of p = 0.7. The following examples show how to use each of these methods in practice to simulate the Bernoulli distribution in R.
