are initialized to vs a central interval

These two phrases are not directly comparable as they serve different purposes. 'are initialized to' is used to describe the setting of initial values for variables, while 'a central interval' seems to be a fragment that lacks context. It's important to provide more information or context to determine the correct usage.

Last updated: March 17, 2024 • 505 views

are initialized to

This phrase is correct and commonly used in programming to describe the process of assigning initial values to variables.

This phrase is used in programming to indicate the assignment of initial values to variables. It is commonly seen in code documentation or explanations.

Examples:

The variables are initialized to zero.
The array is initialized to a specific size.
The parameters are initialized to default values.
The object is initialized to a specific state.
The system is initialized to a known configuration.

Show examples from the web [+]

In C/C++ why globals and static variables are initialized to default values.. why not leave it with just garbage values ? Any special reasons for ...
Why global and static variables are initialized to their default values? see the code, #include<stdio.h> int a; main() { int i; printf("%d %d\n",a,i); }.
static variables are initialized to 0, which does the right thing for pointers too (i.e., sets them to NULL, not all bits 0). This behavior is guaranteed ...
Aug 16, 2015 ... Otherwise, nothing is done: the objects with automatic storage duration (and their subobjects) are initialized to indeterminate values.

a central interval

This phrase seems to be incomplete or lacking context. It does not form a complete sentence or expression on its own.

To use this phrase correctly, it should be part of a complete sentence or expression that provides more context. Without additional information, it is unclear how 'a central interval' should be interpreted.

Show examples from the web [+]

Jun 30, 2015 ... Uses a central interval unless this does not enclose the point estimate n (ie, for small n) in which case the interval is adjusted to start at n.
Built by removing a central interval of length 2^{-2n} of each remaining interval at the nth iteration. Nowhere dense but has a Lebesgue measure of ½.
where ˜S(ˆ˜cj) is the dispersion measure associated to a central interval ˆ˜cj. For coherency reasons, it seems reasonable to use the same exponent (q = p):.
erably, but the uniform prior seems more intuitive. In order to obtain a central interval, equal credibility tails (α/2) are con- sidered, except for the boundary cases, ...

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are initialized to vs a central interval