fix

Round toward zero

Syntax

Y = fix(X)

Description

Y = fix(X) rounds each element of X to the nearest integer toward zero. This operation effectively truncates the numbers in X to integers by removing the decimal portion of each number:

• For positive numbers, the behavior of fix is the same as floor.

• For negative numbers, the behavior of fix is the same as ceil.

Examples

Round Matrix Elements Toward Zero

X = [-1.9 -3.4; 1.6 2.5; -4.5 4.5]

X = 3×2

   -1.9000   -3.4000
    1.6000    2.5000
   -4.5000    4.5000

Y = fix(X)

Y = 3×2

    -1    -3
     1     2
    -4     4

Round Complex Numbers Toward Zero

X = [1.4+2.3i 3.1-2.2i -5.3+10.9i]

X = 1×3 complex

   1.4000 + 2.3000i   3.1000 - 2.2000i  -5.3000 +10.9000i

Y = fix(X)

Y = 1×3 complex

   1.0000 + 2.0000i   3.0000 - 2.0000i  -5.0000 +10.0000i

Input Arguments

X — Input array

scalar | vector | matrix | multidimensional array

Input array, specified as a scalar, vector, matrix, or multidimensional array. For complex X, fix treats the real and imaginary parts independently.

fix converts logical and char elements of X into double values.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | char | logical
Complex Number Support: Yes

Extended Capabilities

Tall Arrays

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

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

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

• Code generation does not support char or logical data types for X.

GPU Code Generation

Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

Usage notes and limitations:

• Code generation does not support char or logical data types for X.

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, 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).