cotd
Cotangent of argument in degrees
Syntax
Description
Examples
Create a vector of input angles consisting of 90° and the next smaller and larger double precision numbers. Then compute the cotangent.
x1 = [90-eps(90) 90 90+eps(90)]; y1 = cotd(x1)
y1 = 1×3
10-15 ×
0.2480 0 -0.2480
cotd
returns zero when the input angle is exactly 90°. Evaluation at the next smaller double-precision angle returns a slightly positive result. Likewise, the cotangent is slightly negative when the input angle is the next double-precision number larger than 90.
The behavior is similar for input angles near 180°.
x2 = [180-eps(180) 180 180+eps(180)]; y2 = cotd(x2)
y2 = 1×3
1015 ×
-2.0159 -Inf 2.0159
Input Arguments
Angle in degrees, specified as a real-valued or complex-valued scalar, vector, matrix,
multidimensional array, table, or timetable. The cotd
operation is element-wise when X
is nonscalar.
Data Types: single
| double
| table
| timetable
Complex Number Support: Yes
Output Arguments
Cotangent of angle, returned as a real-valued or complex-valued scalar, vector, matrix,
multidimensional array, table, or timetable of the same size as
X
.
Extended Capabilities
The
cotd
function fully supports tall arrays. For more information,
see Tall Arrays.
Usage notes and limitations:
In some cases, generated code returns
-Inf
when MATLAB® returnsInf
.In some cases, generated code returns
Inf
when MATLAB returns-Inf
.
This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.
The cotd
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).
This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).
Version History
Introduced before R2006aThe cotd
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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