﻿ILMath.minall Method (ConcreteArray(Double, Array(Double), InArray(Double), OutArray(Double), RetArray(Double), Storage(Double)), OutArray(Int64), StorageOrders, Boolean)

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ILNumerics - Technical Application Development
Computes the (flattened, row-major) sequential index and value of the element with the minimum value in A.

[ILNumerics Computing Engine]

Namespace:  ILNumerics
Assembly:  ILNumerics.Computing (in ILNumerics.Computing.dll) Version: 5.5.0.0 (5.5.7514.3148)
Syntax

```public static RetArray<double> minall(
ConcreteArray<double, Array<double>, InArray<double>, OutArray<double>, RetArray<double>, Storage<double>> A,
OutArray<long> index = null,
StorageOrders order = StorageOrders.ColumnMajor,
bool ignoreNaN = true
)```

Parameters

A
Type: ILNumerics.Core.ArraysConcreteArrayDouble, ArrayDouble, InArrayDouble, OutArrayDouble, RetArrayDouble, StorageDouble
Array to compute the minimum for. This is not altered.
index (Optional)
Type: ILNumericsOutArrayInt64
[Optional] index of the minimum value. Default: (null) the index is not returned.
order (Optional)
Type: ILNumericsStorageOrders
[Optional] iteration order for the flattened sequential indices. Default: ColumnMajor.
ignoreNaN (Optional)
Type: SystemBoolean
[Optional] determins how NaN values are handled for floating point element types. Ignored for integer elements. Defaul: (true) ignores NaNs.

Return Value

Type: RetArrayDouble
Scalar array with the minimum value in A.
Remarks

See min(BaseArrayDouble, OutArrayInt64, Int32, Boolean) for getting the minimum values along a specific dimension.

The functions 'min','min','minall','minall' give all similar results between the framework APIs (ILNumericsV4/Matlab(R) / numpy) but show individual behavior regarding the handling of floating point NaN values and iteration order. The value of 'true' for ignoreNaN corresponds to the behavior of ILNumerics version 4/ Matlab(R). Only if all elements in A are NaN the value of the result will also be NaN. This is the default.

The value of 'false' for ignoreNaN gives the numpy behavior: NaN values take precedence over non-NaN values. If one element in the set of values is NaN the result will also be NaN. This is the default behavior for such functions defined as [numpy API] extension methods on the array classes.

[ILNumerics Computing Engine]