ceil
Round toward positive infinity
Description
Examples
Round Matrix Elements Toward Positive Infinity
X = [-1.9 -0.2 3.4; 5.6 7 2.4+3.6i]; Y = ceil(X)
Y = 2×3 complex
-1.0000 + 0.0000i 0.0000 + 0.0000i 4.0000 + 0.0000i
6.0000 + 0.0000i 7.0000 + 0.0000i 3.0000 + 4.0000i
Round Duration Values Toward Positive Infinity
Round each value in a duration array to the nearest number of seconds greater than or equal to that value.
t = hours(8) + minutes(29:31) + seconds(1.23);
t.Format = 'hh:mm:ss.SS'
t = 1x3 duration
08:29:01.23 08:30:01.23 08:31:01.23
Y1 = ceil(t)
Y1 = 1x3 duration
08:29:02.00 08:30:02.00 08:31:02.00
Round each value in t to the nearest number of hours greater than or equal to that value.
Y2 = ceil(t,'hours')
Y2 = 1x3 duration
09:00:00.00 09:00:00.00 09:00:00.00
Input Arguments
X
— Input array
scalar | vector | matrix | multidimensional array | table | timetable
Input array, specified as a scalar, vector, matrix, multidimensional array, table, or
timetable. For complex X
, ceil
treats
the real and imaginary parts independently.
ceil
converts logical and char
elements
of X
into double
values.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| char
| logical
| table
| timetable
Complex Number Support: Yes
t
— Input duration
duration
array
Input duration, specified as a duration
array.
unit
— Unit of time
'seconds'
(default) | 'minutes'
| 'hours'
| 'days'
| 'years'
Unit of time, specified as 'seconds'
, 'minutes'
, 'hours'
, 'days'
,
or 'years'
. A duration of 1 year is equal to exactly
365.2425 24-hour days.
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
The
ceil
function fully supports tall arrays. For more information,
see Tall Arrays.
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.
Thread-Based Environment
Run code in the background using MATLAB® backgroundPool
or accelerate code with Parallel Computing Toolbox™ ThreadPool
.
This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.
GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.
The ceil
function
fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray
(Parallel Computing Toolbox). For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
Distributed Arrays
Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.
This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).
Version History
Introduced before R2006aR2023a: Perform calculations directly on tables and timetables
The ceil
function can calculate on all variables within a table or
timetable without indexing to access those variables. All variables must have data types
that support the calculation. For more information, see Direct Calculations on Tables and Timetables.
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