min

Minimum elements of array

Syntax

M = min(A)

M = min(A,[],"all")

M = min(A,[],dim)

M = min(A,[],vecdim)

M = min(A,[],___,missingflag)

[M,I] = min(___)

[M,I] = min(A,[],___,"linear")

C = min(A,B)

C = min(A,B,missingflag)

___ = min(___,"ComparisonMethod",method)

Description

M = min(A) returns the minimum elements of an array.

• If A is a vector, then min(A) returns the minimum of A.

• If A is a matrix, then min(A) is a row vector containing the minimum value of each column of A.

• If A is a multidimensional array, then min(A) operates along the first dimension of A whose size does not equal 1, treating the elements as vectors. The size of M in this dimension becomes 1, while the sizes of all other dimensions remain the same as in A. If A is an empty array whose first dimension has zero length, then M is an empty array with the same size as A.

• If A is a table or timetable, then min(A) returns a one-row table containing the minimum of each variable. (since R2023a)

M = min(A,[],"all") returns the minimum over all elements of A.

M = min(A,[],dim) returns the minimum element along dimension dim. For example, if A is a matrix, then min(A,[],2) returns a column vector containing the minimum value of each row.

M = min(A,[],vecdim) returns the minimum over the dimensions specified in the vector vecdim. For example, if A is a matrix, then min(A,[],[1 2]) returns the minimum over all elements in A because every element of a matrix is contained in the array slice defined by dimensions 1 and 2.

M = min(A,[],___,missingflag) specifies whether to omit or include missing values in A for any of the previous syntaxes. For example, min(A,[],"includemissing") includes all missing values when computing the minimum. By default, min omits missing values.

[M,I] = min(___) also returns the index into the operating dimension that corresponds to the first occurrence of the minimum value of A.

[M,I] = min(A,[],___,"linear") also returns the linear index into A that corresponds to the minimum value in A.

C = min(A,B) returns an array with the smallest elements taken from A or B.

C = min(A,B,missingflag) also specifies how to treat missing values.

___ = min(___,"ComparisonMethod",method) optionally specifies how to compare elements for any of the previous syntaxes. For example, for a vector A = [-1 2 -9], the syntax min(A,[],"ComparisonMethod","abs") compares the elements of A according to their absolute values and returns a minimum value of -1.

Examples

Smallest Vector Element

Create a vector and compute its smallest element.

A = [23 42 37 15 52];
M = min(A)

M = 
15

Smallest Complex Element

Create a complex vector and compute its smallest element, that is, the element with the smallest magnitude.

A = [-2+2i 4+i -1-3i];
min(A)

ans = 
-2.0000 + 2.0000i

Smallest Element in Each Matrix Column

Create a matrix and compute the smallest element in each column.

A = [2 8 4; 7 3 9]

A = 2×3

     2     8     4
     7     3     9

M = min(A)

M = 1×3

     2     3     4

Smallest Element in Each Matrix Row

Create a matrix and compute the smallest element in each row.

A = [1.7 1.2 1.5; 1.3 1.6 1.99]

A = 2×3

    1.7000    1.2000    1.5000
    1.3000    1.6000    1.9900

M = min(A,[],2)

M = 2×1

    1.2000
    1.3000

Minimum of Array Page

Create a 3-D array and compute the minimum over each page of data (rows and columns).

A(:,:,1) = [2 4; -2 1];
A(:,:,2) = [9 13; -5 7];
A(:,:,3) = [4 4; 8 -3];
M1 = min(A,[],[1 2])

M1 = 
M1(:,:,1) =

    -2


M1(:,:,2) =

    -5


M1(:,:,3) =

    -3

To compute the minimum over all dimensions of an array, you can either specify each dimension in the vector dimension argument or use the "all" option.

M2 = min(A,[],[1 2 3])

M2 = 
-5

Mall = min(A,[],"all")

Mall = 
-5

Smallest Element Including Missing Values

Create a matrix containing NaN values.

A = [1.77 -0.005 3.98 -2.95; NaN 0.34 NaN 0.19]

A = 2×4

    1.7700   -0.0050    3.9800   -2.9500
       NaN    0.3400       NaN    0.1900

Compute the minimum value of the matrix, including missing values. For matrix columns that contain any NaN value, the minimum is NaN.

M = min(A,[],"includemissing")

M = 1×4

       NaN   -0.0050       NaN   -2.9500

Smallest Element Indices

Create a matrix A and compute the smallest elements in each column as well as the row indices of A in which they appear.

A = [1 9 -2; 8 4 -5]

A = 2×3

     1     9    -2
     8     4    -5

[M,I] = min(A)

M = 1×3

     1     4    -5

I = 1×3

     1     2     2

Return Linear Indices

Create a matrix A and return the minimum value of each row in the matrix M. Use the "linear" option to also return the linear indices I such that M = A(I).

A = [1 2 3; 4 5 6]

A = 2×3

     1     2     3
     4     5     6

[M,I] = min(A,[],2,"linear")

M = 2×1

     1
     4

I = 2×1

     1
     2

minvals = A(I)

minvals = 2×1

     1
     4

Smallest Element Comparison

Create a matrix and return the smallest value between each of its elements compared to a scalar.

A = [1 7 3; 6 2 9]

A = 2×3

     1     7     3
     6     2     9

B = 5;
C = min(A,B)

C = 2×3

     1     5     3
     5     2     5

Input Arguments

A — Input array

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

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

• If A is complex, then min(A) returns the complex number with the smallest magnitude. If magnitudes are equal, then min(A) returns the value with the smallest magnitude and the smallest phase angle.

• If A is a scalar, then min(A) returns A.

• If A is a 0-by-0 empty array, then min(A) is as well.

If A has type categorical, then it must be ordinal.

Data Types: double | single | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical | categorical | datetime | duration | table | timetable
Complex Number Support: Yes

dim — Dimension to operate along

positive integer scalar

Dimension to operate along, specified as a positive integer scalar. If you do not specify the dimension, then the default is the first array dimension whose size does not equal 1.

Dimension dim indicates the dimension whose length reduces to 1. The size(M,dim) is 1, while the sizes of all other dimensions remain the same, unless size(A,dim) is 0. If size(A,dim) is 0, then min(A,dim) returns an empty array with the same size as A.

Consider an m-by-n input matrix, A:

• min(A,[],1) computes the minimum of the elements in each column of A and returns a 1-by-n row vector.

  

• min(A,[],2) computes the minimum of the elements in each row of A and returns an m-by-1 column vector.

  

vecdim — Vector of dimensions

vector of positive integers

Vector of dimensions, specified as a vector of positive integers. Each element represents a dimension of the input array. The lengths of the output in the specified operating dimensions are 1, while the others remain the same.

Consider a 2-by-3-by-3 input array, A. Then min(A,[],[1 2]) returns a 1-by-1-by-3 array whose elements are the minimums computed over each page of A.

missingflag — Missing value condition

"omitmissing" (default) | "omitnan" | "omitnat" | "omitundefined" | "includemissing" | "includenan" | "includenat" | "includeundefined"

Missing value condition, specified as one of the values in this table.

Value	Input Data Type	Description
"omitmissing"	All supported data types	Ignore missing values in the input arrays, and compute the minimum over fewer points. If all elements in the operating dimension are missing, then the corresponding element in M is missing.
"omitnan"	double, single, duration
"omitnat"	datetime
"omitundefined"	categorical
"includemissing"	All supported data types	Include missing values in the input arrays when computing the minimum. If any element in the operating dimension is missing, then the corresponding element in M is missing.
"includenan"	double, single, duration
"includenat"	datetime
"includeundefined"	categorical

B — Additional input array

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

Additional input array, specified as a scalar, vector, matrix, multidimensional array, table, or timetable. Inputs A and B must either be the same size or have sizes that are compatible (for example, A is an M-by-N matrix and B is a scalar or 1-by-N row vector). For more information, see Compatible Array Sizes for Basic Operations.

• If A and B are both arrays, then they must be the same data type unless one is a double. In that case, the data type of the other array can be single, duration, or any integer type.

• If A and B are ordinal categorical arrays, they must have the same sets of categories with the same order.

• If either A or B is a table or timetable, then the other input can be an array, table, or timetable.

If B has type categorical, then it must be ordinal.

Data Types: double | single | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical | categorical | datetime | duration | table | timetable
Complex Number Support: Yes

method — Comparison method

"auto" (default) | "real" | "abs"

Comparison method for numeric input, specified as one of these values:

• "auto" — For a numeric input array A, compare elements by real(A) when A is real, and by abs(A) when A is complex.

• "real" — For a numeric input array A, compare elements by real(A) when A is real or complex. If A has elements with equal real parts, then use imag(A) to break ties.

• "abs" — For a numeric input array A, compare elements by abs(A) when A is real or complex. If A has elements with equal magnitude, then use angle(A) in the interval (-π,π] to break ties.

Output Arguments

M — Minimum values

scalar | vector | matrix | multidimensional array | table

Minimum values, returned as a scalar, vector, matrix, multidimensional array or table. size(M,dim) is 1, while the sizes of all other dimensions match the size of the corresponding dimension in A, unless size(A,dim) is 0. If size(A,dim) is 0, then M is an empty array with the same size as A.

I — Index

scalar | vector | matrix | multidimensional array | table

Index, returned as a scalar, vector, matrix, multidimensional array, or table. I is the same size as the first output.

When "linear" is not specified, I is the index into the operating dimension. When "linear" is specified, I contains the linear indices of A corresponding to the minimum values.

If the smallest element occurs more than once, then I contains the index to the first occurrence of the value.

C — Minimum elements from A or B

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

Minimum elements from A or B, returned as a scalar, vector, matrix, multidimensional array, table, or timetable. The size of C is determined by implicit expansion of the dimensions of A and B. For more information, see Compatible Array Sizes for Basic Operations.

The data type of C depends on the data types of A and B:

• If A and B are the same data type, then C matches the data type of A and B.

• If either A or B is single, then C is single.

• If either A or B is an integer data type with the other a scalar double, then C assumes the integer data type.

• If either A or B is a table or timetable, then C is a table or timetable.

Extended Capabilities

Tall Arrays

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

The min function supports tall arrays with the following usage notes and limitations:

• Index output is not supported for tall tabular inputs.

For more information, see Tall Arrays.

C/C++ Code Generation

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

Usage notes and limitations:

• To use an empty array as the second argument at run time, you must specify a fixed-size, 0-by-0 array at code generation time.

• If used, the arguments dim, vecdim, missingflag, and method must be constant at code generation time.

• If you do not specify the dim argument, the code generator operates along the first dimension of A that is variable-size or whose size does not equal 1.

• For input argument A:

  • If the input is a variable-size array, the length of the dimension to operate along must not be zero at run-time.

  • In the generated code, the input array remains complex, even if all of its elements have zero-valued imaginary parts. Under these circumstances, the results produced by the generated code might differ from those produced by MATLAB. See Code Generation for Complex Data with Zero-Valued Imaginary Parts (MATLAB Coder).

GPU Code Generation

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

Usage notes and limitations:

• To use an empty array as the second argument at run time, you must specify a fixed-size, 0-by-0 array at code generation time.

• If used, the arguments dim, vecdim, missingflag, and method must be constant at code generation time.

• For input argument A:

  • If you do not specify a dimension, the code generator operates along the first dimension of the input array that is variable size or whose size does not equal 1. If this dimension is variable size at code generation time and is 1 at run time, a run-time error can occur. To avoid this error, specify the dimension.

• If A is complex, and all of the elements of A have zero-valued imaginary parts, then MATLAB^® might convert A to real(A) before calling min(A). In this case, MATLAB compares elements by real(A), but the generated code compares elements by abs(A). To make the generated code match MATLAB, use min(real(A)) or min(A,'ComparisonMethod','real'). See Code Generation for Complex Data with Zero-Valued Imaginary Parts (MATLAB Coder).

HDL Code Generation

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

Usage notes and limitations:

• Inputs of 3-D matrices or greater are not supported.

• Inputs that have complex data types are not supported.

• Input matrices or vectors must be of equal size.

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 min 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™.

Usage notes and limitations:

• Index output is not supported for distributed tabular inputs.

For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).

Version History

Introduced before R2006a

R2024b: Specifying second input array as character array is not supported

Specifying a second input array as a character array returns an error. This change minimizes confusion with other arguments that can be specified as character vectors, such as the missing value condition. To maintain the previous functionality, you can convert the second input array to double, for example, min(A,double(B),"includenan").

R2023b: Specifying second input array as character array will not be supported

Specifying a second input array as a character array gives a warning and will generate an error in a future release. This change minimizes confusion with other arguments that can be specified as character vectors, such as the missing value condition. To maintain the previous functionality, you can convert the second input array to double, for example, min(A,double(B),"includenan").

R2023a: Specify missing value condition

Omit or include all missing values in the input arrays when computing the minimum value by using the "omitmissing" or "includemissing" options. Previously, "omitnan", "includenan", "omitnat", "includenat", "omitundefined", and "includeundefined" specified a missing value condition that was specific to the data type of the input arrays.

R2023a: Perform calculations directly on tables and timetables

The min 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.

R2021b: Specify comparison method

Specify the real or absolute value method for determining the minimum value of the input by using the ComparisonMethod parameter.

R2018b: Operate on multiple dimensions

Operate on multiple dimensions of the input arrays at a time. Specify a vector of operating dimensions, or specify the "all" option to operate on all array dimensions.