Examples of using The theorem in English and their translations into Chinese
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Programming
It is a linear-interpolated weighted average of the belief from before the calculation and the belief after applying the theorem correctly.
He developed one of the most important theorems of probability, which coined his name: Bayes' Theorem, or the Theorem of Conditional Probability.
But the theorem- or really, the idea of“Bayesian reasoning” that underlies it- is ubiquitous.
While some people take the theorem to suggest anything is possible, mathematicians see it as evidence of just how improbable certain events are.
The theorem states that you can always have only two of the three CAP properties at the same time.
Whitney said the theorem encapsulates the beauty and power of mathematics, which often reveals surprising patterns in simple, familiar shapes.
The theorem is named after Jean Gaston Darboux who established it as the solution of the Pfaff problem.
The theorem has several important consequences, some of which are also sometimes called"Hahn- Banach theorem".
The theorem has two forms, each of which gives sufficient conditions for a topological space to be a Baire space.
Informally, the theorem is that if your system has a symmetry, then there is a corresponding conservation law.
However, the theorem doesn't prove that God exists, simply that it's possible that an all-powerful being could exist according to modal logic.
It is a common misconception to apply the theorem in the opposite scenario.
Informally, the theorem is that if your system has a symmetry, then there is a corresponding conservation law.
Also, it follows from the theorem that any theory that has an infinite model has models of arbitrary large cardinality.
Later development by French scholar Pierre-Simon Laplace and others helped codify the theorem and develop it into a useful tool for thinking.
Central to the theory was the concept of uniform continuity and the theorem stating that every continuous function on a closed interval is uniformly continuous.
As a more complicated example, let's look at the theorem that corresponds to the B function.
Intuitively, the theorem states that to build a VMM it is sufficient that all instructions that could affect the correct functioning of the VMM(sensitive instructions) always trap and pass control to the VMM.
Furthermore, the theorem can be combined with the Baire category theorem in the following manner(Rudin, Theorem 2.11): Let X be a F-space and Y a topological vector space.