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summary
public

Class collection of numerical calculation processing.

math/core

summary
public

Arbitrary-precision floating-point number class (immutable).

public

Arbitrary-precision integer class (immutable).

public

Complex number class.

public

Fraction class (immutable).

public

C Matrix

Complex matrix class.

public

Setting of calculation result of division.

public

BigDecimal type argument.

public

T KBigDecimalLocalInputData: number | boolean | string | BigDecimal | BigInteger | {toBigDecimal: function} | {doubleValue: number} | {toString: function}

BigDecimal type argument.(local)

  • number
  • boolean
  • string
  • BigDecimal
  • BigInteger
  • {toBigDecimal:function}
  • {doubleValue:number}
  • {toString:function}
public

T KBigDecimalScaleData: {integer: BigInteger, scale: ?number, context: ?MathContext}

ScaleData for argument of BigDecimal.

public

BigInteger type argument.

public

T KComplexInputData: Complex | number | boolean | string | Array<number> | {_re: number, _im: number} | {doubleValue: number} | {toString: function}

Complex type argument.

public

Fraction type argument.

public

Matrix type argument.

public

Collection of calculation settings for matrix.

math/core/base

summary
public

Base class for numbers (immutable).

public

Base class for numbers (immutable).

math/core/context

summary
public

Configuration class for BigDecimal (immutable).

public

Rounding mode class for BigDecimal.

public

Base class for rounding mode for BigDecimal.

math/core/tools

summary
public

Class for linear algebra for Matrix class.

public

Collection for calculating probability using real numbers.

public

C Random

Random number class.

public

C Signal

Signal processing class for Matrix class.

public

Class for statistical processing for Matrix class.

public

Setting random numbers

public

Collection of calculation settings for matrix.

public

Collection of calculation settings for matrix.

math/tools

summary
public

Tools for analyzing data.

math/tools/DataAnalysis

summary
public

Multiple regression analysis.

public

Principal component analysis.

public

Analysis of variance.

public

Output for multiple regression analysis

public

Regression table.

public

Regression table data.

public

Settings for multiple regression analysis

public

Vector state

public
public

Output for principal component analysis.

public

Settings for principal component analysis.