Get the dimension of the secondary state parameters. @return dimension of the secondary state parameters

{@inheritDoc}

{@inheritDoc}

Returns the maximum of the available values. @return The max or Double.NaN if no values have been added.

Returns the current value of the Statistic. @return value of the statistic, <code>Double.NaN</code> if it has been cleared or just instantiated.

{@inheritDoc} Algorithm description: <ol> <li>Find the smallest i such that the sum of the masses of the bins through i is at least p.</li> <li>

Check that the given array is sorted. @param val Values. @param dir Ordering direction. @param strict Whether the order should be strict. @param abor

{@inheritDoc} The current implementation returns the same value as {@code new Double(this.doubleValue()).hashCode()} @see Double#hashCode()

Check if the decomposed matrix is non-singular. @return true if the decomposed matrix is non-singular.

computes the sine of the argument. @param a number from which sine is desired @return sin(a)

{@inheritDoc}

Returns <code>dimension x dimension</code> identity matrix. @param dimension dimension of identity matrix to generate @return identity matrix @throws

Returns the <a href="https://www.xycoon.com/arithmetic_mean.htm"> arithmetic mean </a> of the available values. @return The mean or Double.NaN if no v

Get the number of radix digits of the instance. @return number of radix digits

Returns the multiplicative inverse of {@code this} element. @return the inverse of {@code this}. @throws MathArithmeticException if {@code this} is ze

Gets a <em>snapshot</em> of the observed points. The list of stored points is copied in order to ensure that modification of the returned instance doe

Get the width of a block. @param blockColumn column index (in block sense) of the block @return width (number of columns) of the block

Returns the offsets for the unit tests below, in the order they are given below. For each test, the left and right offsets are returned. @return the o

Loads model x and y sample data, overriding any previous sample. Computes and caches QR decomposition of the X matrix. @param y the [n,1] array repre

{@inheritDoc} @throws MathUnsupportedOperationException in all circumstances.

Get the width of a block. @param blockColumn column index (in block sense) of the block @return width (number of columns) of the block

Compute the objective function value. @param point Point at which the objective function must be evaluated. @return the objective function value at s

{@inheritDoc}

Returns the minimum of the available values. @return The min or Double.NaN if no values have been added.

{@inheritDoc} @param optData Optimization data. In addition to those documented in {@link LinearOptimizer#optimize(OptimizationData...) LinearOptimiz

Returns the next number greater than this one in the direction of x. If this==x then simply returns this. @param x direction where to look at @return

{@inheritDoc}

Advance an entry up to the next nonzero one. @param e entry to advance.

Check if submatrix ranges indices are valid. Rows and columns are indicated counting from 0 to {@code n - 1}. @param m Matrix. @param startRow Initia

{@inheritDoc}

Check whether any coordinate of this vector is {@code NaN}. @return {@code true} if any coordinate of this vector is {@code NaN}, {@code false} other

{@inheritDoc}

Compute the value for the function at the given point. @param point Point at which the function must be evaluated. @return the function value for the

Gets the neuron's features. @return a copy of the neuron's features.

Gets the message in the default locale. @return the localized message.

{@inheritDoc}

Sine operation. @return sin(this)

{@inheritDoc} In addition it checks if the sum of Collection size and this instance's {@link #size()} returns a value that is within capacity and if t

Divide this by divisor. @param divisor divisor @return quotient of this by divisor

Get the entries at the given row index. Row indices start at 0. @param row Row to be fetched. @return the array of entries in the row. @throws OutOfR

Gets the value of the constraint (right hand side). @return the value of the constraint (right hand side).

Adds a point to the sample. Calling this method is equivalent to calling {@code add(1.0, x, y)}. @param x Abscissa of the point. @param y Observed va

Compute composition of a derivative structure by a function. @param operand array holding the operand @param operandOffset offset of the operand in it

Get the double value corresponding to the instance. @return double value corresponding to the instance

Get the stored value associated with the given key. @param key key associated with the data @return data associated with the key

Gets an element. @param i Row. @param j Column. @return the element at (i, j).

Returns the <a href="https://www.xycoon.com/arithmetic_mean.htm"> arithmetic mean </a> of the available values. @return The mean or Double.NaN if no v

Get the derivation order. @return derivation order

Returns the P rows permutation matrix. <p>P is a sparse matrix with exactly one element set to 1.0 in each row and each column, all other elements bei

Get the state at previous grid point time. @return state at previous grid point time

{@inheritDoc}

Returns the standard deviation of the values that have been added. <p> Double.NaN is returned if no values have been added. </p> @return the standard

Returns the matrix U of the decomposition. <p>U is an upper-triangular matrix</p> @return the U matrix (or null if decomposed matrix is singular)

Returns the index (i, j) translated into the one-dimensional array used to store the upper triangular part of the symmetric covariance matrix. @param

Insert equation data into a complete state or derivative array. @param equationData equation data to be inserted into the complete array @param comple

Indicates whether this is a square matrix. @return {@code true} if the number of rows is the same as the number of columns.

Natural logarithm. @return logarithm of the instance

{@inheritDoc}

Set the rounding mode. If not set, the default value is {@link RoundingMode#ROUND_HALF_EVEN}. @param mode desired rounding mode Note that the roundin

Computes the value of the logit at {@code x}. @param x Value for which the function must be computed. @param param Values of lower bound and higher b

{@inheritDoc}

Adds a message. @param pattern Message pattern. @param arguments Values for replacing the placeholders in the message pattern.

Cosine operation. @return cos(this)

Fits a curve. This method computes the coefficients of the curve that best fit the sample of observed points. @param points Observations. @return the

Get the IEEE 854 status flags. @return IEEE 854 status flags @see #clearIEEEFlags() @see #setIEEEFlags(int) @see #setIEEEFlagsBits(int) @see #FLAG_INV

Returns the length of the chromosome. @return the length of the chromosome

Returns a preferred value of the entries, to be tested specifically. Some implementations of {@link RealVector} (e.g. {@link OpenMapRealVector}) do no

Get the normalized cost. It is the square-root of the sum of squared of the residuals, divided by the number of measurements. @return the cost.

Returns {@code true} if {@code this} double precision number is infinite ({@link Double#POSITIVE_INFINITY} or {@link Double#NEGATIVE_INFINITY}). @ret

Returns the result of multiplying {@code this} with itself {@code p} times. Depending on the underlying storage, instability for high powers might occ

Serialize this object to the given stream. @param out Stream. @throws IOException This should never happen.

Get the compiler for number of free parameters and order. @param parameters number of free parameters @param order derivation order @return cached rul

Get the number of free parameters. @return number of free parameters

Get the error at the end of the integration. @return error at the end of the integration

Retrieves the underlying network. A reference is returned (enabling, for example, the network to be trained). This also implies that calling methods t

{@inheritDoc}

Return the specified power of 10. @param e desired power @return 10^e

Replace the submatrix starting at {@code row, column} using data in the input {@code subMatrix} array. Indexes are 0-based. <p> Example:<br> Starting

Check if a value is associated with a key. @param key key to check @return true if a value is associated with key

{@inheritDoc}

<p>Returns the {@link SemiVariance} of the designated values against the mean, using instance properties varianceDirection and biasCorrection.</p> <p

{@inheritDoc}

Get the entries at the given column index as a column matrix. Column indices start at 0. @param column Column to be fetched. @return column Matrix. @

{@inheritDoc}

{@inheritDoc}

Returns the number of available values. @return The number of available values

Returns the matrix R of the decomposition. <p>R is an upper-triangular matrix</p> @return the R matrix

Check if instance is less than x. @param x number to check instance against @return true if instance is less than x and neither are NaN, false otherwi

Store the current step time. @param t current time

{@inheritDoc}

Adds the value to the dataset. If the dataset is at the maximum size (i.e., the number of stored elements equals the currently configured windowSize),

verifies that two matrices are close (1-norm)

verifies that two matrices are close (1-norm)