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not , ~

Find logical NOT

Syntax

~A


            
             not(A)

Description

~ A returns a logical array or a table of logical values of the same size as A . The output contains logical 1 ( true ) values where A is zero and logical 0 ( false ) values where A is nonzero.

example

not( A ) is an alternate way to execute ~A , but is rarely used. It enables operator overloading for classes.

Examples

collapse all

Logical Negation of Matrix

Open Live Script

Create a 3-by-3 identity matrix.

A = eye(3)

A = 3×3
     1     0     0
     0     1     0
     0     0     1

Find the logical negation of A . The new matrix has type logical .

B = ~A

B = 3x3 logical array
   0   1   1
   1   0   1
   1   1   0

Conditional Code Execution

Open Live Script

Execute code based on a condition using the logical not operator in the context of an if loop.

Create a logical variable A .

A = false;

Use A to write an if/else code block. Wrap the if/else block in a for loop so that it executes four times.

for k = 1:4
    if ~A
        disp('IF block')
        A = true;
        disp('ELSE block')
end

IF block

ELSE block
ELSE block
ELSE block

On the first iteration, A is false , so the if block executes since ~A is true . However, the if block also changes the value of A to true . In the remaining iterations, ~A is false and the else block executes.

Logical NOT of Table

Open Live Script

Since R2023a

Create a table and perform a logical NOT of it. To perform a logical NOT of a table or timetable, all its variables must have data types that support logical operations.

A = table([0;2],[0;4],VariableNames=["V1","V2"],RowNames=["R1","R2"])

A=2×2 table




    

          V1    V2
          __    __
    R1    0     0 
    R2    2     4

~A

ans=2×2 table
           V1       V2  
          _____    _____
    R1    true     true 
    R2    false    false

Input Arguments

collapse all

`A` — Input array
scalar | vector | matrix | multidimensional array | table | timetable

Input array, specified as a numeric scalar, vector, matrix, multidimensional array, table, or timetable.

Tips

You also can use the ~ symbol as a placeholder output argument in a function call. For example, [~,i] = max(A) suppresses the first output of the max function, returning only the indices of the maximum values. For more information about suppressing function arguments, see Ignore Inputs in Function Definitions and Ignore Function Outputs .

Extended Capabilities

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

The not 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™.

HDL Code Generation
Generate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs using HDL 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 not 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 operations directly on tables and timetables

The not operator supports operations directly on tables and timetables without indexing to access their variables. All variables must have data types that support the operation. For more information, see Direct Calculations on Tables and Timetables .

not , ~

Syntax

Description

Examples

Logical Negation of Matrix

Conditional Code Execution

Logical NOT of Table

Input Arguments

`A` — Input array
scalar | vector | matrix | multidimensional array | table | timetable

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™.

HDL Code Generation
Generate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs using HDL 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 operations directly on tables and timetables

See Also

Topics

not , ~

Syntax

Description

Examples

Logical Negation of Matrix

Conditional Code Execution

Logical NOT of Table

Input Arguments

A — Input array scalar | vector | matrix | multidimensional array | table | timetable

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™.

HDL Code Generation Generate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs using HDL 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 operations directly on tables and timetables

See Also

Topics

`A` — Input array
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™.

HDL Code Generation
Generate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs using HDL 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™.