deg2rad

Convert angle from degrees to radians

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Syntax

R = deg2rad(D)

Description

example

R= deg2rad(D)converts angle units from degrees to radians for each element ofD.

Examples

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Right Angle in Radians

Open Live Script

Convert a 90 degree angle into radians.

R = deg2rad(90)

R = 1.5708

Surface Distance

Open Live Script

Specify the spherical distance between Munich and Bangalore in degrees and the mean radius of Earth in kilometers. Compute the distance (measured along the Earth's surface) between Munich and Bangalore, in kilometers.

D = 64.7; radEarth = 6371; R = deg2rad(D); dist = radEarth*R

dist = 7.1943e+03

Input Arguments

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`D`—Angle in degrees
scalar|vector|matrix|multidimensional array

Angle in degrees, specified as a scalar, vector, matrix, or multidimensional array. IfDcontains complex elements,deg2radconverts the real and imaginary parts separately.

Data Types:single|double
Complex Number Support:Yes

Output Arguments

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`R`— Angle in radians
scalar | vector | matrix | multidimensional array

Angle in radians, returned as a scalar, vector, matrix, or multidimensional array.Ris the same size asD.

Extended Capabilities

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

This function fully supports tall arrays. For more information, seeTall 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, seeRun MATLAB Functions in Thread-Based Environment.

GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

This function fully supports GPU arrays. For more information, seeRun 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, seeRun MATLAB Functions with Distributed Arrays(Parallel Computing Toolbox).

MATLAB Documentation

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Introducing Deep Learning with MATLAB

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deg2rad

Syntax

Description

Examples

Right Angle in Radians

Surface Distance

Input Arguments

D—Angle in degreesscalar|vector|matrix|multidimensional array

Output Arguments

R— Angle in radiansscalar | vector | matrix | multidimensional array

Extended Capabilities

Tall ArraysCalculate with arrays that have more rows than fit in memory.

C/C++ Code GenerationGenerate C and C++ code using MATLAB® Coder™.

GPU Code GenerationGenerate CUDA® code for NVIDIA® GPUs using GPU Coder™.

Thread-Based EnvironmentRun code in the background using MATLAB®backgroundPoolor accelerate code with Parallel Computing Toolbox™ThreadPool.

GPU ArraysAccelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

Distributed ArraysPartition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.

See Also

MATLAB Documentation

金宝app

Introducing Deep Learning with MATLAB

`D`—Angle in degrees
scalar|vector|matrix|multidimensional array

`R`— Angle in radians
scalar | vector | matrix | multidimensional array

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

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`.

GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

Distributed Arrays
Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.