## Types in MathNet.Numerics.LinearAlgebra.Single

Type DenseVector

Namespace MathNet.Numerics.LinearAlgebra.Single

Parent Vector

A vector using dense storage.

### Public Constructors

#### DenseVector(Single[] storage)

Create a new dense vector directly binding to a raw array. The array is used directly without copying. Very efficient, but changes to the array and the vector will affect each other.

#### DenseVector(DenseVectorStorage<T> storage)

Create a new dense vector straight from an initialized vector storage instance. The storage is used directly without copying. Intended for advanced scenarios where you're working directly with storage for performance or interop reasons.

#### DenseVector(int length)

Create a new dense vector with the given length. All cells of the vector will be initialized to zero.

### Public Static Functions

#### DenseVectorCreate(int length, Func<int, float> init)

Create a new dense vector and initialize each value using the provided init function.

#### DenseVectorCreate(int length, float value)

Create a new dense vector and initialize each value using the provided value.

#### DenseVectorCreateRandom(int length, IContinuousDistribution distribution)

Create a new dense vector with values sampled from the provided random distribution.

#### DenseVectorOfArray(Single[] array)

Create a new dense vector as a copy of the given array. This new vector will be independent from the array. A new memory block will be allocated for storing the vector.

#### DenseVectorOfEnumerable(IEnumerable<float> enumerable)

Create a new dense vector as a copy of the given enumerable. This new vector will be independent from the enumerable. A new memory block will be allocated for storing the vector.

#### DenseVectorOfIndexedEnumerable(int length, IEnumerable<Tuple<int, float>> enumerable)

Create a new dense vector as a copy of the given indexed enumerable. Keys must be provided at most once, zero is assumed if a key is omitted. This new vector will be independent from the enumerable. A new memory block will be allocated for storing the vector.

#### DenseVectorOfVector(Vector<T> vector)

Create a new dense vector as a copy of the given other vector. This new vector will be independent from the other vector. A new memory block will be allocated for storing the vector.

#### DenseVectorParse(string value, IFormatProvider formatProvider)

Creates a float dense vector based on a string. The string can be in the following formats (without the quotes): 'n', 'n,n,..', '(n,n,..)', '[n,n,...]', where n is a float.
##### Parameters
###### string value

the string to parse.

###### IFormatProvider formatProvider

An IFormatProvider that supplies culture-specific formatting information.

##### Return
###### DenseVector

A float dense vector containing the values specified by the given string.

### Public Methods

#### floatAbsoluteMaximum()

Returns the value of the absolute maximum element.
##### Return
###### float

The value of the absolute maximum element.

#### intAbsoluteMaximumIndex()

Returns the index of the absolute maximum element.
##### Return
###### int

The index of absolute maximum element.

#### floatAbsoluteMinimum()

Returns the value of the absolute minimum element.
##### Return
###### float

The value of the absolute minimum element.

#### intAbsoluteMinimumIndex()

Returns the index of the absolute minimum element.
##### Return
###### int

The index of absolute minimum element.

Adds another vector to this vector and stores the result into the result vector.
##### Parameters
###### Vector<T> other

The vector to add to this one.

###### Vector<T> result

The vector to store the result of the addition.

Adds another vector to this vector.
##### Parameters
###### Vector<T> other

The vector to add to this one.

##### Return
###### Vector<T>

A new vector containing the sum of both vectors.

#### Single[]AsArray()

Returns the internal array of this vector if, and only if, this vector is stored by such an array internally. Otherwise returns null. Changes to the returned array and the vector will affect each other. Use ToArray instead if you always need an independent array.

#### floatAt(int index)

Gets the value at the given index without range checking..
##### Parameters
###### int index

The index of the value to get or set.

##### Return
###### float

The value of the vector at the given index.

#### voidClearSubVector(int index, int count)

Sets all values of a subvector to zero.

#### Vector<T>Clone()

Returns a deep-copy clone of the vector.
##### Return
###### Vector<T>

A deep-copy clone of the vector.

#### voidCoerceZero(double threshold)

Set all values whose absolute value is smaller than the threshold to zero.

#### voidCoerceZero(Func<float, bool> zeroPredicate)

Set all values that meet the predicate to zero, in-place.

#### Vector<T>Conjugate()

Return vector with complex conjugate values of the source vector
##### Return
###### Vector<T>

Conjugated vector

#### voidConjugate(Vector<T> result)

Complex conjugates vector and save result to result

Target vector

#### floatConjugateDotProduct(Vector<T> other)

Computes the dot product between the conjugate of this vector and another vector.
##### Parameters
###### Vector<T> other

The other vector.

##### Return
###### float

The sum of conj(a[i])*b[i] for all i.

#### voidCopySubVectorTo(Vector<T> destination, int sourceIndex, int targetIndex, int count)

Copies the requested elements from this vector to another.
##### Parameters
###### Vector<T> destination

The vector to copy the elements to.

###### int sourceIndex

The element to start copying from.

###### int targetIndex

The element to start copying to.

###### int count

The number of elements to copy.

#### voidCopyTo(Vector<T> target)

Copies the values of this vector into the target vector.
##### Parameters
###### Vector<T> target

The vector to copy elements into.

#### floatDotProduct(Vector<T> other)

Computes the dot product between this vector and another vector.
##### Parameters
###### Vector<T> other

The other vector.

##### Return
###### float

The sum of a[i]*b[i] for all i.

#### IEnumerable<float>Enumerate(Zeros zeros)

Returns an IEnumerable that can be used to iterate through all values of the vector.
The enumerator will include all values, even if they are zero.

#### IEnumerable<float>Enumerate()

Returns an IEnumerable that can be used to iterate through all values of the vector.
The enumerator will include all values, even if they are zero.

#### IEnumerable<ValueTuple<int, float>>EnumerateIndexed()

Returns an IEnumerable that can be used to iterate through all values of the vector and their index.
The enumerator returns a Tuple with the first value being the element index and the second value being the value of the element at that index. The enumerator will include all values, even if they are zero.

#### IEnumerable<ValueTuple<int, float>>EnumerateIndexed(Zeros zeros)

Returns an IEnumerable that can be used to iterate through all values of the vector and their index.
The enumerator returns a Tuple with the first value being the element index and the second value being the value of the element at that index. The enumerator will include all values, even if they are zero.

#### boolEquals(Vector<T> other)

Indicates whether the current object is equal to another object of the same type.
##### Parameters
###### Vector<T> other

An object to compare with this object.

##### Return
###### bool

true if the current object is equal to the other parameter; otherwise, false.

#### boolEquals(object obj)

Determines whether the specified Object is equal to this instance.
##### Parameters
###### object obj

The Object to compare with this instance.

##### Return
###### bool

true if the specified Object is equal to this instance; otherwise, false.

#### boolExists(Func<float, bool> predicate, Zeros zeros)

Returns true if at least one element satisfies a predicate. Zero elements may be skipped on sparse data structures if allowed (default).

#### boolExists2<TOther>(Func<float, TOther, bool> predicate, Vector<T> other, Zeros zeros)

Returns true if at least one element pairs of two vectors of the same size satisfies a predicate. Zero elements may be skipped on sparse data structures if allowed (default).

#### Tuple<int, float>Find(Func<float, bool> predicate, Zeros zeros)

Returns a tuple with the index and value of the first element satisfying a predicate, or null if none is found. Zero elements may be skipped on sparse data structures if allowed (default).

#### Tuple<int, float, TOther>Find2<TOther>(Func<float, TOther, bool> predicate, Vector<T> other, Zeros zeros)

Returns a tuple with the index and values of the first element pair of two vectors of the same size satisfying a predicate, or null if none is found. Zero elements may be skipped on sparse data structures if allowed (default).

#### TStateFold2<TOther, TState>(Func<TState, float, TOther, TState> f, TState state, Vector<T> other, Zeros zeros)

Applies a function to update the status with each value pair of two vectors and returns the resulting status.

#### boolForAll(Func<float, bool> predicate, Zeros zeros)

Returns true if all elements satisfy a predicate. Zero elements may be skipped on sparse data structures if allowed (default).

#### boolForAll2<TOther>(Func<float, TOther, bool> predicate, Vector<T> other, Zeros zeros)

Returns true if all element pairs of two vectors of the same size satisfy a predicate. Zero elements may be skipped on sparse data structures if allowed (default).

#### intGetHashCode()

Returns a hash code for this instance.
##### Return
###### int

A hash code for this instance, suitable for use in hashing algorithms and data structures like a hash table.

#### doubleInfinityNorm()

Calculates the infinity norm of the vector.
##### Return
###### double

The maximum absolute value.

#### doubleL1Norm()

Calculates the L1 norm of the vector, also known as Manhattan norm.
##### Return
###### double

The sum of the absolute values.

#### doubleL2Norm()

Calculates the L2 norm of the vector, also known as Euclidean norm.
##### Return
###### double

The square root of the sum of the squared values.

#### voidMap(Func<float, float> f, Vector<T> result, Zeros zeros)

Applies a function to each value of this vector and replaces the value in the result vector. If forceMapZero is not set to true, zero values may or may not be skipped depending on the actual data storage implementation (relevant mostly for sparse vectors).

#### Vector<T>Map<TU>(Func<float, TU> f, Zeros zeros)

Applies a function to each value of this vector and returns the results as a new vector. If forceMapZero is not set to true, zero values may or may not be skipped depending on the actual data storage implementation (relevant mostly for sparse vectors).

#### voidMap2(Func<float, float, float> f, Vector<T> other, Vector<T> result, Zeros zeros)

Applies a function to each value pair of two vectors and replaces the value in the result vector.

#### Vector<T>Map2(Func<float, float, float> f, Vector<T> other, Zeros zeros)

Applies a function to each value pair of two vectors and returns the results as a new vector.

#### voidMapConvert<TU>(Func<float, TU> f, Vector<T> result, Zeros zeros)

Applies a function to each value of this vector and replaces the value in the result vector. If forceMapZero is not set to true, zero values may or may not be skipped depending on the actual data storage implementation (relevant mostly for sparse vectors).

#### voidMapIndexed(Func<int, float, float> f, Vector<T> result, Zeros zeros)

Applies a function to each value of this vector and replaces the value in the result vector. The index of each value (zero-based) is passed as first argument to the function. If forceMapZero is not set to true, zero values may or may not be skipped depending on the actual data storage implementation (relevant mostly for sparse vectors).

#### Vector<T>MapIndexed<TU>(Func<int, float, TU> f, Zeros zeros)

Applies a function to each value of this vector and returns the results as a new vector. The index of each value (zero-based) is passed as first argument to the function. If forceMapZero is not set to true, zero values may or may not be skipped depending on the actual data storage implementation (relevant mostly for sparse vectors).

#### voidMapIndexedConvert<TU>(Func<int, float, TU> f, Vector<T> result, Zeros zeros)

Applies a function to each value of this vector and replaces the value in the result vector. The index of each value (zero-based) is passed as first argument to the function. If forceMapZero is not set to true, zero values may or may not be skipped depending on the actual data storage implementation (relevant mostly for sparse vectors).

#### voidMapIndexedInplace(Func<int, float, float> f, Zeros zeros)

Applies a function to each value of this vector and replaces the value with its result. The index of each value (zero-based) is passed as first argument to the function. If forceMapZero is not set to true, zero values may or may not be skipped depending on the actual data storage implementation (relevant mostly for sparse vectors).

#### voidMapInplace(Func<float, float> f, Zeros zeros)

Applies a function to each value of this vector and replaces the value with its result. If forceMapZero is not set to true, zero values may or may not be skipped depending on the actual data storage implementation (relevant mostly for sparse vectors).

#### floatMaximum()

Returns the value of maximum element.
##### Return
###### float

The value of maximum element.

#### intMaximumIndex()

Returns the index of the maximum element.
##### Return
###### int

The index of maximum element.

#### floatMinimum()

Returns the value of the minimum element.
##### Return
###### float

The value of the minimum element.

#### intMinimumIndex()

Returns the index of the minimum element.
##### Return
###### int

The index of minimum element.

#### Vector<T>Negate()

Returns a negated vector.
Added as an alternative to the unary negation operator.
##### Return
###### Vector<T>

The negated vector.

#### voidNegate(Vector<T> result)

Negates vector and save result to result

Target vector

#### doubleNorm(double p)

Computes the p-Norm.

The p value.

##### Return
###### double

Scalar ret = ( ∑|this[i]|^p )^(1/p)

#### Vector<T>Normalize(double p)

Normalizes this vector to a unit vector with respect to the p-norm.

The p value.

##### Return
###### Vector<T>

This vector normalized to a unit vector with respect to the p-norm.

#### Matrix<T>OuterProduct(Vector<T> other)

Computes the outer product M[i,j] = u[i]*v[j] of this and another vector.

The other vector

#### voidOuterProduct(Vector<T> other, Matrix<T> result)

Computes the outer product M[i,j] = u[i]*v[j] of this and another vector and stores the result in the result matrix.
##### Parameters

The other vector

###### Matrix<T> result

The matrix to store the result of the product.

#### voidPointwiseAbs(Vector<T> result)

Pointwise applies the abs function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseAbs()

Pointwise applies the abs function to each value

#### Vector<T>PointwiseAbsoluteMaximum(Vector<T> other)

Pointwise applies the absolute maximum with the values of another vector to each value.
##### Parameters
###### Vector<T> other

The vector with the values to compare to.

#### voidPointwiseAbsoluteMaximum(Vector<T> other, Vector<T> result)

Pointwise applies the absolute maximum with the values of another vector to each value.
##### Parameters
###### Vector<T> other

The vector with the values to compare to.

###### Vector<T> result

The vector to store the result.

#### Vector<T>PointwiseAbsoluteMinimum(Vector<T> other)

Pointwise applies the absolute minimum with the values of another vector to each value.
##### Parameters
###### Vector<T> other

The vector with the values to compare to.

#### voidPointwiseAbsoluteMinimum(Vector<T> other, Vector<T> result)

Pointwise applies the absolute minimum with the values of another vector to each value.
##### Parameters
###### Vector<T> other

The vector with the values to compare to.

###### Vector<T> result

The vector to store the result.

#### voidPointwiseAcos(Vector<T> result)

Pointwise applies the acos function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseAcos()

Pointwise applies the acos function to each value

#### voidPointwiseAsin(Vector<T> result)

Pointwise applies the asin function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseAsin()

Pointwise applies the asin function to each value

#### voidPointwiseAtan(Vector<T> result)

Pointwise applies the atan function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseAtan()

Pointwise applies the atan function to each value

#### voidPointwiseAtan2(Vector<T> other, Vector<T> result)

Pointwise applies the atan2 function to each value of the current vector and a given other vector being the 'x' of atan2 and the 'this' vector being the 'y'
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseAtan2(Vector<T> other)

Pointwise applies the atan2 function to each value of the current vector and a given other vector being the 'x' of atan2 and the 'this' vector being the 'y'

#### voidPointwiseCeiling(Vector<T> result)

Pointwise applies the ceiling function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseCeiling()

Pointwise applies the ceiling function to each value

#### Vector<T>PointwiseCos()

Pointwise applies the cos function to each value

#### voidPointwiseCos(Vector<T> result)

Pointwise applies the cos function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseCosh()

Pointwise applies the cosh function to each value

#### voidPointwiseCosh(Vector<T> result)

Pointwise applies the cosh function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseDivide(Vector<T> divisor)

Pointwise divide this vector with another vector.
##### Parameters
###### Vector<T> divisor

The pointwise denominator vector to use.

##### Return
###### Vector<T>

A new vector which is the pointwise division of the two vectors.

#### voidPointwiseDivide(Vector<T> divisor, Vector<T> result)

Pointwise divide this vector with another vector and stores the result into the result vector.
##### Parameters
###### Vector<T> divisor

The pointwise denominator vector to use.

###### Vector<T> result

The vector to store the result of the pointwise division.

#### Vector<T>PointwiseExp()

Pointwise applies the exponent function to each value.

#### voidPointwiseExp(Vector<T> result)

Pointwise applies the exponent function to each value.
##### Parameters
###### Vector<T> result

The vector to store the result.

#### voidPointwiseFloor(Vector<T> result)

Pointwise applies the floor function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseFloor()

Pointwise applies the floor function to each value

#### voidPointwiseLog(Vector<T> result)

Pointwise applies the natural logarithm function to each value.
##### Parameters
###### Vector<T> result

The vector to store the result.

#### Vector<T>PointwiseLog()

Pointwise applies the natural logarithm function to each value.

#### voidPointwiseLog10(Vector<T> result)

Pointwise applies the log10 function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseLog10()

Pointwise applies the log10 function to each value

#### Vector<T>PointwiseMaximum(Vector<T> other)

Pointwise applies the maximum with the values of another vector to each value.
##### Parameters
###### Vector<T> other

The vector with the values to compare to.

#### voidPointwiseMaximum(Vector<T> other, Vector<T> result)

Pointwise applies the maximum with the values of another vector to each value.
##### Parameters
###### Vector<T> other

The vector with the values to compare to.

###### Vector<T> result

The vector to store the result.

#### Vector<T>PointwiseMinimum(Vector<T> other)

Pointwise applies the minimum with the values of another vector to each value.
##### Parameters
###### Vector<T> other

The vector with the values to compare to.

#### voidPointwiseMinimum(Vector<T> other, Vector<T> result)

Pointwise applies the minimum with the values of another vector to each value.
##### Parameters
###### Vector<T> other

The vector with the values to compare to.

###### Vector<T> result

The vector to store the result.

#### voidPointwiseModulus(Vector<T> divisor, Vector<T> result)

Pointwise canonical modulus, where the result has the sign of the divisor, of this vector with another vector and stores the result into the result vector.
##### Parameters
###### Vector<T> divisor

The pointwise denominator vector to use.

###### Vector<T> result

The vector to store the result of the pointwise modulus.

#### Vector<T>PointwiseModulus(Vector<T> divisor)

Pointwise canonical modulus, where the result has the sign of the divisor, of this vector with another vector.
##### Parameters
###### Vector<T> divisor

The pointwise denominator vector to use.

#### Vector<T>PointwiseMultiply(Vector<T> other)

Pointwise multiplies this vector with another vector.
##### Parameters
###### Vector<T> other

The vector to pointwise multiply with this one.

##### Return
###### Vector<T>

A new vector which is the pointwise multiplication of the two vectors.

#### voidPointwiseMultiply(Vector<T> other, Vector<T> result)

Pointwise multiplies this vector with another vector and stores the result into the result vector.
##### Parameters
###### Vector<T> other

The vector to pointwise multiply with this one.

###### Vector<T> result

The vector to store the result of the pointwise multiplication.

#### Vector<T>PointwisePower(Vector<T> exponent)

Pointwise raise this vector to an exponent and store the result into the result vector.
##### Parameters
###### Vector<T> exponent

The exponent to raise this vector values to.

#### voidPointwisePower(Vector<T> exponent, Vector<T> result)

Pointwise raise this vector to an exponent.
##### Parameters
###### Vector<T> exponent

The exponent to raise this vector values to.

###### Vector<T> result

The vector to store the result into.

#### Vector<T>PointwiseRemainder(Vector<T> divisor)

Pointwise remainder (% operator), where the result has the sign of the dividend, of this vector with another vector.
##### Parameters
###### Vector<T> divisor

The pointwise denominator vector to use.

#### voidPointwiseRemainder(Vector<T> divisor, Vector<T> result)

Pointwise remainder (% operator), where the result has the sign of the dividend, this vector with another vector and stores the result into the result vector.
##### Parameters
###### Vector<T> divisor

The pointwise denominator vector to use.

###### Vector<T> result

The vector to store the result of the pointwise remainder.

#### voidPointwiseRound(Vector<T> result)

Pointwise applies the round function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseRound()

Pointwise applies the round function to each value

#### Vector<T>PointwiseSign()

Pointwise applies the sign function to each value

#### voidPointwiseSign(Vector<T> result)

Pointwise applies the sign function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseSin()

Pointwise applies the sin function to each value

#### voidPointwiseSin(Vector<T> result)

Pointwise applies the sin function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseSinh()

Pointwise applies the sinh function to each value

#### voidPointwiseSinh(Vector<T> result)

Pointwise applies the sinh function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### voidPointwiseSqrt(Vector<T> result)

Pointwise applies the sqrt function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseSqrt()

Pointwise applies the sqrt function to each value

#### voidPointwiseTan(Vector<T> result)

Pointwise applies the tan function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### Vector<T>PointwiseTan()

Pointwise applies the tan function to each value

#### Vector<T>PointwiseTanh()

Pointwise applies the tanh function to each value

#### voidPointwiseTanh(Vector<T> result)

Pointwise applies the tanh function to each value
##### Parameters
###### Vector<T> result

The vector to store the result

#### voidSetSubVector(int index, int count, Vector<T> subVector)

Copies the values of a given vector into a region in this vector.
##### Parameters
###### int index

The field to start copying to

###### int count

The number of fields to copy. Must be positive.

###### Vector<T> subVector

The sub-vector to copy from.

#### voidSubtract(Vector<T> other, Vector<T> result)

Subtracts another vector to this vector and stores the result into the result vector.
##### Parameters
###### Vector<T> other

The vector to subtract from this one.

###### Vector<T> result

The vector to store the result of the subtraction.

#### Vector<T>Subtract(Vector<T> other)

Subtracts another vector from this vector.
##### Parameters
###### Vector<T> other

The vector to subtract from this one.

##### Return
###### Vector<T>

A new vector containing the subtraction of the two vectors.

#### Vector<T>SubVector(int index, int count)

Creates a vector containing specified elements.
##### Parameters
###### int index

The first element to begin copying from.

###### int count

The number of elements to copy.

##### Return
###### Vector<T>

A vector containing a copy of the specified elements.

#### floatSum()

Computes the sum of the vector's elements.
##### Return
###### float

The sum of the vector's elements.

#### doubleSumMagnitudes()

Computes the sum of the absolute value of the vector's elements.
##### Return
###### double

The sum of the absolute value of the vector's elements.

#### Single[]ToArray()

Returns the data contained in the vector as an array. The returned array will be independent from this vector. A new memory block will be allocated for the array.
##### Return
###### Single[]

The vector's data as an array.

#### Matrix<T>ToColumnMatrix()

Create a matrix based on this vector in column form (one single column).
##### Return
###### Matrix<T>

This vector as a column matrix.

#### Matrix<T>ToRowMatrix()

Create a matrix based on this vector in row form (one single row).
##### Return
###### Matrix<T>

This vector as a row matrix.

#### stringToString(string format, IFormatProvider formatProvider)

Returns a string that summarizes this vector. The maximum number of cells can be configured in the Control class. The format string is ignored.

#### stringToString()

Returns a string that summarizes this vector. The maximum number of cells can be configured in the Control class.

#### stringToString(int maxPerColumn, int maxCharactersWidth, string format, IFormatProvider provider)

Returns a string that summarizes this vector, column by column and with a type header.
##### Parameters
###### int maxPerColumn

Maximum number of entries and thus lines per column. Typical value: 12; Minimum: 3.

###### int maxCharactersWidth

Maximum number of characters per line over all columns. Typical value: 80; Minimum: 16.

###### string format

Floating point format string. Can be null. Default value: G6.

###### IFormatProvider provider

Format provider or culture. Can be null.

#### stringToTypeString()

Returns a string that describes the type, dimensions and shape of this vector.

#### stringToVectorString(int maxPerColumn, int maxCharactersWidth, string ellipsis, string columnSeparator, string rowSeparator, Func<float, string> formatValue)

Returns a string that represents the content of this vector, column by column.
##### Parameters
###### int maxPerColumn

Maximum number of entries and thus lines per column. Typical value: 12; Minimum: 3.

###### int maxCharactersWidth

Maximum number of characters per line over all columns. Typical value: 80; Minimum: 16.

###### string ellipsis

Character to use to print if there is not enough space to print all entries. Typical value: "..".

###### string columnSeparator

Character to use to separate two columns on a line. Typical value: " " (2 spaces).

###### string rowSeparator

Character to use to separate two rows/lines. Typical value: Environment.NewLine.

###### Func<float, string> formatValue

Function to provide a string for any given entry value.

#### stringToVectorString(int maxPerColumn, int maxCharactersWidth, string format, IFormatProvider provider)

Returns a string that represents the content of this vector, column by column.
##### Parameters
###### int maxPerColumn

Maximum number of entries and thus lines per column. Typical value: 12; Minimum: 3.

###### int maxCharactersWidth

Maximum number of characters per line over all columns. Typical value: 80; Minimum: 16.

###### string format

Floating point format string. Can be null. Default value: G6.

###### IFormatProvider provider

Format provider or culture. Can be null.

#### stringToVectorString(string format, IFormatProvider provider)

Returns a string that represents the content of this vector, column by column.
##### Parameters
###### string format

Floating point format string. Can be null. Default value: G6.

###### IFormatProvider provider

Format provider or culture. Can be null.

### Public Properties

#### Single[]Values get;

Gets the vector's data.
Value: