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cos

Cosine of argument in radians

Syntax


           
            Y = cos(X)

Description

Y = cos( X ) returns the cosine for each element of X . The cos function operates element-wise on arrays. The function accepts both real and complex inputs.

For real values of X , cos(X) returns real values in the interval [-1, 1].
For complex values of X , cos(X) returns complex values.

Examples

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Plot Cosine Function

Open Live Script

Plot the cosine function over the domain $- π \leq x \leq π$ .

x = -pi:0.01:pi; 
plot(x,cos(x))
grid on

Figure contains an axes object. The axes object contains an object of type line.

Cosine of Vector of Complex Angles

Open Live Script

Calculate the cosine of the complex angles in vector x .

x = [-i pi+i*pi/2 -1+i*4];
y = cos(x)

y = 1×3 complex
   1.5431 + 0.0000i  -2.5092 - 0.0000i  14.7547 +22.9637i

Input Arguments

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`X` — Input angle in radians
scalar | vector | matrix | multidimensional array | table | timetable

Input angle in radians, specified as a scalar, vector, matrix, multidimensional array, table, or timetable.

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

Output Arguments

collapse all

`Y` — Cosine of input angle
scalar | vector | matrix | multidimensional array | table | timetable

Cosine of input angle, returned as a real-valued or complex-valued scalar, vector, matrix, multidimensional array, table, or timetable.

More About

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Cosine Function

The cosine of an angle, α, defined with reference to a right triangle is

$cos (α) = \frac{adjacent side}{hypotenuse} = \frac{b}{h} .$

The cosine of a complex argument, α, is

$cos (α) = \frac{e^{i α} + e^{- i α}}{2} .$

Tips

To compute cos(X*pi) accurately, without using pi as a floating-point approximation of π, you can use the cospi function instead. For example, cospi(m/2) is exactly zero for odd integers m and cospi(n) is +1 or –1 for integers n .

Extended Capabilities

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

The cos 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 cos 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

expand all

R2023a: Perform calculations directly on tables and timetables

The cos 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 .

cos

Syntax

Description

Examples

Plot Cosine Function

Cosine of Vector of Complex Angles

Input Arguments

X — Input angle in radians scalar | vector | matrix | multidimensional array | table | timetable

Output Arguments

Y — Cosine of input angle scalar | vector | matrix | multidimensional array | table | timetable

More About

Cosine Function

Tips

Extended Capabilities

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™.

Version History

R2023a: Perform calculations directly on tables and timetables

See Also

`X` — Input angle in radians
scalar | vector | matrix | multidimensional array | table | timetable

`Y` — Cosine of input angle
scalar | vector | matrix | multidimensional array | table | timetable

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™.