Ví dụ về việc sử dụng Cardinality trong Tiếng anh và bản dịch của chúng sang Tiếng việt
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Is equal to the cardinality.
What is Cardinality in a Database?
The empty set{} or Ø is considered finite, with cardinality zero.
Cardinality is defined in terms of bijective functions.
In this way,the Euler characteristic can be viewed as a generalisation of cardinality; see.
The set X has cardinality strictly greater than ℵ 0{\displaystyle\aleph_{0}}.
For sets of finite size, Cantor uses the natural numbers, beginning with 0,to indicate their cardinality.
Cardinality is defined in terms of bijective functions, which requires an on-to-one function.
R: Q= c{\displaystyle{\mathfrak{c}}}(the cardinality of the continuum), so this extension is infinite.
Cardinality is studied for its own sake as part of set theory.
Also given the nature of a binary search, the cardinality or uniqueness of the data is important.
Cardinality refers to the uniqueness of data values contained in a particular column(attribute) of a database table.
For example, while it supports cardinality constraints, it only permits cardinality values of 0 or 1.
A set is infinite if andonly if for every natural number the set has a subset whose cardinality is that natural number.
The appropriate mapping cardinality for a particular relationship set depends on the real world being modeled.
In mathematics, cardinal numbers, or cardinals for short,are a generalization of the natural numbers used to measure the cardinality(size) of sets.
Also given the nature of a binary search, the cardinality or uniqueness of the data is important.
The cardinality of X is neither finite nor equal to ℵ0{\displaystyle\aleph_{0}} (aleph-null, the cardinality of the natural numbers).
Here is a great IBM article thatwarns against the pitfalls of indexing fields with low cardinality, but the gist of it is that you should avoid doing it.
In the world of databases, cardinality refers to the number of unique values contained in a particular column, or field, of a database.
Kneser-Haken finiteness says that for each 3-manifold,there is a constant C such that any collection of surfaces of cardinality greater than C must contain parallel elements.
The cardinality of a finite set is a natural number, while the transfinite cardinal numbers describe the sizes of infinite sets.
This is a simple extension because C= R(i).{\displaystyle\mathbb{C}=\mathbb{R}(i).}= c{\displaystyle={\mathfrak{c}}}(the cardinality of the continuum), so this extension is infinite.
The cardinality of a time series dataset is typically defined by the cross-product of the cardinality of each individual indexed column.
In the branch of mathematics known as set theory,the aleph numbers are a series of numbers used to represent the cardinality(or size) of infinite sets.
Although you mentioned that minimum cardinality is important, the algorithm wouldn't be a simple binary search, how would this approximation(~log2 n) affect the process time?
For example, in modern mathematics, a line is viewed as the set of all its points,and their infinite number(the cardinality of the line) is larger than the number of integers.
With such a low cardinality the effectiveness is reduced to a linear sort, and the query optimizer will avoid using the index if the cardinality is less than 30% of the record number, effectively making the index a waste of space.
That is, X is nonempty and there is no surjective function from the natural numbers to X. The cardinality of X is neither finite nor equal to ℵ 0{\displaystyle\aleph_{0}}(aleph-null, the cardinality of the natural numbers).