asecd

Inverse secant in degrees

Syntax

Y = asecd(X)

Description

Y = asecd(X) returns the inverse secant (sec^-1) of the elements of X in degrees. The function accepts both real and complex inputs.

• For real values of X in the intervals [-∞, -1] and [1, ∞], asecd(X) returns values in the interval [0, 180].

• For real values of X in the interval (-1, 1) and for complex values of X, asecd(X) returns complex values.

Examples

Inverse Secant of Vector

x = [10 1 Inf];
y = asecd(x)

y = 1×3

   84.2608         0   90.0000

The asecd operation is element-wise when you pass a vector, matrix, or N-D array.

Inverse Secant of Complex Value

asecd(1+i)

ans = 
64.0864 +30.4033i

Input Arguments

X — Secant of angle

scalar value | vector | matrix | multidimensional array | table | timetable

Secant of angle, specified as a real-valued or complex-valued scalar, vector, matrix, multidimensional array, table, or timetable. The asecd operation is element-wise when X is non-scalar.

Data Types: single | double | table | timetable
Complex Number Support: Yes

Output Arguments

Y — Angle in degrees

scalar value | vector | matrix | multidimensional array | table | timetable

Angle in degrees, returned as a real-valued or complex-valued scalar, vector, matrix, multidimensional array, table, or timetable of the same size as X.

Extended Capabilities

Tall Arrays

Calculate with arrays that have more rows than fit in memory.

The asecd function fully supports tall arrays. For more information, see Tall Arrays.

C/C++ Code Generation
Generate C and C++ code using MATLAB® 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 asecd 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 R2006a

R2023a: Perform calculations directly on tables and timetables

The asecd 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.