The NMathFunctions type exposes the following members.

Methods

	Name	Description
	Abs	Overloaded.
	AbsSum	Overloaded.
	Acos	Overloaded.
	And	Returns the logical AND of two boolean values.
	Arg	Overloaded.
	ArrayOfRandomNumbers	Overloaded.
	Asin	Overloaded.
	Atan	Overloaded.
	Atan2	Overloaded.
	Ceil	Overloaded.
	ConditionNumber	Overloaded.
	Conj	Overloaded.
	ConjDot	Overloaded.
	ConjTranspose	Overloaded.
	ConjTransposeProduct	Overloaded.
	CopyOnlyReal	Returns a copy of the input matrix only if the input matrix contains only real values (no NaN's of infinite values allowed). If the input matrix contains any non-real values an InvalidArgumentException is thrown.
	Cos	Overloaded.
	Cosh	Overloaded.
	Cross	Overloaded.
	CumulativeProduct	Overloaded.
	CumulativeSum	Overloaded.
	Delta	Overloaded.
	Determinant	Overloaded.
	Dot	Overloaded.
	DoubleNormalRandomMatrix	Creates a matrix of normally distributed random numbers.
	DoubleNormalRandomVector	Creates a vector of normally distributed random numbers.
	DoubleRandomMatrix	Creates a matrix of uniformly distributed random numbers.
	DoubleRandomVector	Creates a vextor of uniformly distributed random numbers.
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	EstimateConditionNumber	Overloaded.
	Exp	Overloaded.
	Expm	Overloaded.
	FastMatrixCopy	Copies a matrix WITH COMPACT STRIDE to the indicated matrix.
	FastMatrixDivide	Fast elementwise matrix division. All matrices must have the same size.
	FastMatrixMultiply	Fast elementwise marix product. All matrices must have the same number of rows and columns.
	FastMatrixSubract	Fast elementwise matrix subtraction. All matrices must have the same size.
	FillArrayWithNormalRandomNumbers	Fills the given array with normally distributed random numbers.
	FillArrayWithRandomNumbers	Overloaded.
	Floor	Overloaded.
	FrobeniusNorm	Calculates the Frobenius norm.
	FrobNormDiffSqr	Calculates the square of the Frobenius norm of the difference between two matrices.
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetProjectionMatrix	Calculates the projection matrix.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Imag	Overloaded.
	Inverse	Overloaded.
	KthSmallestValue<(Of <(T>)>)	Finds the Kth smallest value in the given array. k starts with 0, so with k = 0, the smallest value is returned, k returns the second smallest value, and so forth.
	Log	Overloaded.
	Log10	Overloaded.
	MaxAbs1Index	Overloaded.
	MaxAbs1Value	Overloaded.
	MaxAbsIndex	Overloaded.
	MaxAbsValue	Overloaded.
	MaxIndex	Overloaded.
	MaxValue	Overloaded.
	Mean	Overloaded.
	Median	Overloaded.
	MinAbs1Index	Overloaded.
	MinAbs1Value	Overloaded.
	MinAbsIndex	Overloaded.
	MinAbsValue	Overloaded.
	MinIndex	Overloaded.
	MinValue	Overloaded.
	NaNCount	Overloaded.
	NaNMaxIndex	Overloaded.
	NaNMaxValue	Overloaded.
	NaNMean	Overloaded.
	NaNMedian	Overloaded.
	NaNMinIndex	Overloaded.
	NaNMinValue	Overloaded.
	NaNSort	Overloaded.
	NaNSum	Overloaded.
	NaNSumOfSquares	Overloaded.
	NaNVariance	Overloaded.
	Not	Returns the logical negation of a boolean value.
	Or	Returns the logical OR of two boolean values.
	OuterProduct	Overloaded.
	Pow	Overloaded.
	Product	Overloaded.
	ProductPlusConst	Returns the product of the two matrices plus the constant.
	ProductTranspose	Overloaded.
	PseudoInverse	Overloaded.
	Real	Overloaded.
	RepMat	Overloaded.
	Round	Overloaded.
	Sign	Overloaded.
	Sin	Overloaded.
	Sinh	Overloaded.
	Solve	Overloaded.
	Sort	Overloaded.
	SortByColumn	Overloaded.
	Sqrt	Overloaded.
	Sum	Overloaded.
	SumOfSquares	Overloaded.
	Tan	Overloaded.
	Tanh	Overloaded.
	ToString	Returns a String that represents the current Object. (Inherited from Object.)
	Trace	Overloaded.
	Transpose	Overloaded.
	TransposeProduct	Overloaded.
	Variance	Overloaded.
	Xor	Returns the exclusive-OR of two boolean values.

Methods

See Also