UnivariateDerivative1 (Hipparchus 1.8 API)

java.lang.Object
- org.hipparchus.analysis.differentiation.UnivariateDerivative<UnivariateDerivative1>
- - org.hipparchus.analysis.differentiation.UnivariateDerivative1

All Implemented Interfaces:

Serializable, Derivative<UnivariateDerivative1>, CalculusFieldElement<UnivariateDerivative1>, FieldElement<UnivariateDerivative1>, RealFieldElement<UnivariateDerivative1>
```
public class UnivariateDerivative1
extends UnivariateDerivative<UnivariateDerivative1>
```
Class representing both the value and the differentials of a function.
This class is a stripped-down version of DerivativeStructure with only one free parameter and derivation order also limited to one. It should have less overhead than DerivativeStructure in its domain.

This class is an implementation of Rall's numbers. Rall's numbers are an extension to the real numbers used throughout mathematical expressions; they hold the derivative together with the value of a function.

UnivariateDerivative1 instances can be used directly thanks to the arithmetic operators to the mathematical functions provided as methods by this class (+, -, *, /, %, sin, cos ...).

Implementing complex expressions by hand using these classes is a tedious and error-prone task but has the advantage of having no limitation on the derivation order despite not requiring users to compute the derivatives by themselves.

Instances of this class are guaranteed to be immutable.

Since:

1.7

See Also:

DerivativeStructure, UnivariateDerivative2, Gradient, FieldDerivativeStructure, FieldUnivariateDerivative1, FieldUnivariateDerivative2, FieldGradient, Serialized Form

Field Summary
- Fields inherited from interface org.hipparchus.CalculusFieldElement
  DEG_TO_RAD, RAD_TO_DEG

Constructor Summary

Constructors
Constructor and Description
`UnivariateDerivative1(DerivativeStructure ds)` Build an instance from a `DerivativeStructure`.
`UnivariateDerivative1(double f0, double f1)` Build an instance with values and derivative.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`UnivariateDerivative1`	`abs()` absolute value.
`UnivariateDerivative1`	`acos()` Arc cosine operation.
`UnivariateDerivative1`	`acosh()` Inverse hyperbolic cosine operation.
`UnivariateDerivative1`	`add(double a)` '+' operator.
`UnivariateDerivative1`	`add(UnivariateDerivative1 a)` Compute this + a.
`UnivariateDerivative1`	`asin()` Arc sine operation.
`UnivariateDerivative1`	`asinh()` Inverse hyperbolic sine operation.
`UnivariateDerivative1`	`atan()` Arc tangent operation.
`UnivariateDerivative1`	`atan2(UnivariateDerivative1 x)` Two arguments arc tangent operation.
`UnivariateDerivative1`	`atanh()` Inverse hyperbolic tangent operation.
`UnivariateDerivative1`	`cbrt()` Cubic root.
`UnivariateDerivative1`	`ceil()` Get the smallest whole number larger than instance.
`UnivariateDerivative1`	`compose(double g0, double g1)` Compute composition of the instance by a function.
`UnivariateDerivative1`	`copySign(double sign)` Returns the instance with the sign of the argument.
`UnivariateDerivative1`	`copySign(UnivariateDerivative1 sign)` Returns the instance with the sign of the argument.
`UnivariateDerivative1`	`cos()` Cosine operation.
`UnivariateDerivative1`	`cosh()` Hyperbolic cosine operation.
`UnivariateDerivative1`	`divide(double a)` '÷' operator.
`UnivariateDerivative1`	`divide(UnivariateDerivative1 a)` Compute this ÷ a.
`boolean`	`equals(Object other)` Test for the equality of two univariate derivatives.
`UnivariateDerivative1`	`exp()` Exponential.
`UnivariateDerivative1`	`expm1()` Exponential minus 1.
`UnivariateDerivative1`	`floor()` Get the largest whole number smaller than instance.
`double`	`getDerivative(int n)` Get a derivative from the univariate derivative.
`int`	`getExponent()` Return the exponent of the instance, removing the bias.
`UnivariateDerivative1Field`	`getField()` Get the `Field` to which the instance belongs.
`double`	`getFirstDerivative()` Get the first derivative.
`int`	`getOrder()` Get the derivation order.
`double`	`getReal()` Get the real value of the number.
`double`	`getValue()` Get the value part of the function.
`int`	`hashCode()` Get a hashCode for the univariate derivative.
`UnivariateDerivative1`	`hypot(UnivariateDerivative1 y)` Returns the hypotenuse of a triangle with sides `this` and `y` - sqrt(this² +y²) avoiding intermediate overflow or underflow.
`UnivariateDerivative1`	`linearCombination(double[] a, UnivariateDerivative1[] b)` Compute a linear combination.
`UnivariateDerivative1`	`linearCombination(double a1, UnivariateDerivative1 b1, double a2, UnivariateDerivative1 b2)` Compute a linear combination.
`UnivariateDerivative1`	`linearCombination(double a1, UnivariateDerivative1 b1, double a2, UnivariateDerivative1 b2, double a3, UnivariateDerivative1 b3)` Compute a linear combination.
`UnivariateDerivative1`	`linearCombination(double a1, UnivariateDerivative1 b1, double a2, UnivariateDerivative1 b2, double a3, UnivariateDerivative1 b3, double a4, UnivariateDerivative1 b4)` Compute a linear combination.
`UnivariateDerivative1`	`linearCombination(UnivariateDerivative1[] a, UnivariateDerivative1[] b)` Compute a linear combination.
`UnivariateDerivative1`	`linearCombination(UnivariateDerivative1 a1, UnivariateDerivative1 b1, UnivariateDerivative1 a2, UnivariateDerivative1 b2)` Compute a linear combination.
`UnivariateDerivative1`	`linearCombination(UnivariateDerivative1 a1, UnivariateDerivative1 b1, UnivariateDerivative1 a2, UnivariateDerivative1 b2, UnivariateDerivative1 a3, UnivariateDerivative1 b3)` Compute a linear combination.
`UnivariateDerivative1`	`linearCombination(UnivariateDerivative1 a1, UnivariateDerivative1 b1, UnivariateDerivative1 a2, UnivariateDerivative1 b2, UnivariateDerivative1 a3, UnivariateDerivative1 b3, UnivariateDerivative1 a4, UnivariateDerivative1 b4)` Compute a linear combination.
`UnivariateDerivative1`	`log()` Natural logarithm.
`UnivariateDerivative1`	`log10()` Base 10 logarithm.
`UnivariateDerivative1`	`log1p()` Shifted natural logarithm.
`UnivariateDerivative1`	`multiply(double a)` '×' operator.
`UnivariateDerivative1`	`multiply(int n)` Compute n × this.
`UnivariateDerivative1`	`multiply(UnivariateDerivative1 a)` Compute this × a.
`UnivariateDerivative1`	`negate()` Returns the additive inverse of `this` element.
`UnivariateDerivative1`	`newInstance(double value)` Create an instance corresponding to a constant real value.
`UnivariateDerivative1`	`pow(double p)` Power operation.
`static UnivariateDerivative1`	`pow(double a, UnivariateDerivative1 x)` Compute a^x where a is a double and x a `UnivariateDerivative1`
`UnivariateDerivative1`	`pow(int n)` Integer power operation.
`UnivariateDerivative1`	`pow(UnivariateDerivative1 e)` Power operation.
`UnivariateDerivative1`	`reciprocal()` Returns the multiplicative inverse of `this` element.
`UnivariateDerivative1`	`remainder(double a)` IEEE remainder operator.
`UnivariateDerivative1`	`remainder(UnivariateDerivative1 a)` IEEE remainder operator.
`UnivariateDerivative1`	`rint()` Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
`UnivariateDerivative1`	`rootN(int n)` N^th root.
`UnivariateDerivative1`	`scalb(int n)` Multiply the instance by a power of 2.
`UnivariateDerivative1`	`signum()` Compute the signum of the instance.
`UnivariateDerivative1`	`sin()` Sine operation.
`FieldSinCos<UnivariateDerivative1>`	`sinCos()` Combined Sine and Cosine operation.
`UnivariateDerivative1`	`sinh()` Hyperbolic sine operation.
`UnivariateDerivative1`	`sqrt()` Square root.
`UnivariateDerivative1`	`subtract(double a)` '-' operator.
`UnivariateDerivative1`	`subtract(UnivariateDerivative1 a)` Compute this - a.
`UnivariateDerivative1`	`tan()` Tangent operation.
`UnivariateDerivative1`	`tanh()` Hyperbolic tangent operation.
`double`	`taylor(double delta)` Evaluate Taylor expansion a univariate derivative.
`UnivariateDerivative1`	`toDegrees()` Convert radians to degrees, with error of less than 0.5 ULP
`DerivativeStructure`	`toDerivativeStructure()` Convert the instance to a `DerivativeStructure`.
`UnivariateDerivative1`	`toRadians()` Convert degrees to radians, with error of less than 0.5 ULP

Methods inherited from class org.hipparchus.analysis.differentiation.UnivariateDerivative
getFreeParameters, getPartialDerivative

Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.hipparchus.RealFieldElement
round

Methods inherited from interface org.hipparchus.CalculusFieldElement
isInfinite, isNaN

Methods inherited from interface org.hipparchus.FieldElement
isZero

- Constructor Detail
  - UnivariateDerivative1
```
public UnivariateDerivative1(double f0,
                             double f1)
```
    Build an instance with values and derivative.
    
    Parameters:
    
    f0 - value of the function
    
    f1 - first derivative of the function
  - UnivariateDerivative1
```
public UnivariateDerivative1(DerivativeStructure ds)
                      throws MathIllegalArgumentException
```
    Build an instance from a DerivativeStructure.
    
    Parameters:
    
    ds - derivative structure
    
    Throws:
    
    MathIllegalArgumentException - if either ds parameters is not 1 or ds order is not 1
- Method Detail
  - newInstance
```
public UnivariateDerivative1 newInstance(double value)
```
    Create an instance corresponding to a constant real value.
    The default implementation creates the instance by adding the value to getField().getZero(). This is not optimal and does not work when called with a negative zero as the sign of zero is lost with the addition. The default implementation should therefore be overridden in concrete classes. The default implementation will be removed at the next major version.
    
    Parameters:
    
    value - constant real value
    
    Returns:
    
    instance corresponding to a constant real value
  - getReal
```
public double getReal()
```
    Get the real value of the number.
    
    Returns:
    
    real value
  - getValue
```
public double getValue()
```
    Get the value part of the function.
    
    Returns:
    
    value part of the value of the function
  - getDerivative
```
public double getDerivative(int n)
```
    Get a derivative from the univariate derivative.
    
    Specified by:
    
    getDerivative in class UnivariateDerivative<UnivariateDerivative1>
    
    Parameters:
    
    n - derivation order (must be between 0 and Derivative.getOrder(), both inclusive)
    
    Returns:
    
    n^th derivative
  - getOrder
```
public int getOrder()
```
    Get the derivation order.
    
    Returns:
    
    derivation order
  - getFirstDerivative
```
public double getFirstDerivative()
```
    Get the first derivative.
    
    Returns:
    
    first derivative
    
    See Also:
    
    getValue()
  - toDerivativeStructure
```
public DerivativeStructure toDerivativeStructure()
```
    Convert the instance to a DerivativeStructure.
    
    Specified by:
    
    toDerivativeStructure in class UnivariateDerivative<UnivariateDerivative1>
    
    Returns:
    
    derivative structure with same value and derivative as the instance
  - add
```
public UnivariateDerivative1 add(double a)
```
    '+' operator.
    
    Parameters:
    
    a - right hand side parameter of the operator
    
    Returns:
    
    this+a
  - add
```
public UnivariateDerivative1 add(UnivariateDerivative1 a)
```
    Compute this + a.
    
    Parameters:
    
    a - element to add
    
    Returns:
    
    a new element representing this + a
  - subtract
```
public UnivariateDerivative1 subtract(double a)
```
    '-' operator.
    
    Parameters:
    
    a - right hand side parameter of the operator
    
    Returns:
    
    this-a
  - subtract
```
public UnivariateDerivative1 subtract(UnivariateDerivative1 a)
```
    Compute this - a.
    
    Parameters:
    
    a - element to subtract
    
    Returns:
    
    a new element representing this - a
  - multiply
```
public UnivariateDerivative1 multiply(int n)
```
    Compute n × this. Multiplication by an integer number is defined as the following sum n × this = ∑_i=1ⁿ this.
    
    Parameters:
    
    n - Number of times this must be added to itself.
    
    Returns:
    
    A new element representing n × this.
  - multiply
```
public UnivariateDerivative1 multiply(double a)
```
    '×' operator.
    
    Parameters:
    
    a - right hand side parameter of the operator
    
    Returns:
    
    this×a
  - multiply
```
public UnivariateDerivative1 multiply(UnivariateDerivative1 a)
```
    Compute this × a.
    
    Parameters:
    
    a - element to multiply
    
    Returns:
    
    a new element representing this × a
  - divide
```
public UnivariateDerivative1 divide(double a)
```
    '÷' operator.
    
    Parameters:
    
    a - right hand side parameter of the operator
    
    Returns:
    
    this÷a
  - divide
```
public UnivariateDerivative1 divide(UnivariateDerivative1 a)
```
    Compute this ÷ a.
    
    Parameters:
    
    a - element to divide by
    
    Returns:
    
    a new element representing this ÷ a
  - remainder
```
public UnivariateDerivative1 remainder(double a)
```
    IEEE remainder operator.
    
    Parameters:
    
    a - right hand side parameter of the operator
    
    Returns:
    
    this - n × a where n is the closest integer to this/a
  - remainder
```
public UnivariateDerivative1 remainder(UnivariateDerivative1 a)
```
    IEEE remainder operator.
    
    Parameters:
    
    a - right hand side parameter of the operator
    
    Returns:
    
    this - n × a where n is the closest integer to this/a
  - negate
```
public UnivariateDerivative1 negate()
```
    Returns the additive inverse of this element.
    
    Returns:
    
    the opposite of this.
  - abs
```
public UnivariateDerivative1 abs()
```
    absolute value.
    
    Returns:
    
    abs(this)
  - ceil
```
public UnivariateDerivative1 ceil()
```
    Get the smallest whole number larger than instance.
    
    Returns:
    
    ceil(this)
  - floor
```
public UnivariateDerivative1 floor()
```
    Get the largest whole number smaller than instance.
    
    Returns:
    
    floor(this)
  - rint
```
public UnivariateDerivative1 rint()
```
    Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
    
    Returns:
    
    a double number r such that r is an integer r - 0.5 ≤ this ≤ r + 0.5
  - signum
```
public UnivariateDerivative1 signum()
```
    Compute the signum of the instance. The signum is -1 for negative numbers, +1 for positive numbers and 0 otherwise
    
    Returns:
    
    -1.0, -0.0, +0.0, +1.0 or NaN depending on sign of a
  - copySign
```
public UnivariateDerivative1 copySign(UnivariateDerivative1 sign)
```
    Returns the instance with the sign of the argument. A NaN sign argument is treated as positive.
    
    Parameters:
    
    sign - the sign for the returned value
    
    Returns:
    
    the instance with the same sign as the sign argument
  - copySign
```
public UnivariateDerivative1 copySign(double sign)
```
    Returns the instance with the sign of the argument. A NaN sign argument is treated as positive.
    
    Parameters:
    
    sign - the sign for the returned value
    
    Returns:
    
    the instance with the same sign as the sign argument
  - getExponent
```
public int getExponent()
```
    Return the exponent of the instance, removing the bias.
    For double numbers of the form 2^x, the unbiased exponent is exactly x.
    
    Returns:
    
    exponent for the instance, without bias
  - scalb
```
public UnivariateDerivative1 scalb(int n)
```
    Multiply the instance by a power of 2.
    
    Parameters:
    
    n - power of 2
    
    Returns:
    
    this × 2ⁿ
  - hypot
```
public UnivariateDerivative1 hypot(UnivariateDerivative1 y)
```
    Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow.
    - If either argument is infinite, then the result is positive infinity.
    - else, if either argument is NaN then the result is NaN.
    Parameters:
    
    y - a value
    
    Returns:
    
    sqrt(this² +y²)
  - reciprocal
```
public UnivariateDerivative1 reciprocal()
```
    Returns the multiplicative inverse of this element.
    
    Returns:
    
    the inverse of this.
  - compose
```
public UnivariateDerivative1 compose(double g0,
                                     double g1)
```
    Compute composition of the instance by a function.
    
    Parameters:
    
    g0 - value of the function at the current point (i.e. at g(getValue()))
    
    g1 - first derivative of the function at the current point (i.e. at g'(getValue()))
    
    Returns:
    
    g(this)
  - sqrt
```
public UnivariateDerivative1 sqrt()
```
    Square root.
    
    Returns:
    
    square root of the instance
  - cbrt
```
public UnivariateDerivative1 cbrt()
```
    Cubic root.
    
    Returns:
    
    cubic root of the instance
  - rootN
```
public UnivariateDerivative1 rootN(int n)
```
    N^th root.
    
    Parameters:
    
    n - order of the root
    
    Returns:
    
    n^th root of the instance
  - getField
```
public UnivariateDerivative1Field getField()
```
    Get the Field to which the instance belongs.
    
    Returns:
    
    Field to which the instance belongs
  - pow
```
public static UnivariateDerivative1 pow(double a,
                                        UnivariateDerivative1 x)
```
    Compute a^x where a is a double and x a UnivariateDerivative1
    
    Parameters:
    
    a - number to exponentiate
    
    x - power to apply
    
    Returns:
    
    a^x
  - pow
```
public UnivariateDerivative1 pow(double p)
```
    Power operation.
    
    Parameters:
    
    p - power to apply
    
    Returns:
    
    this^p
  - pow
```
public UnivariateDerivative1 pow(int n)
```
    Integer power operation.
    
    Parameters:
    
    n - power to apply
    
    Returns:
    
    thisⁿ
  - pow
```
public UnivariateDerivative1 pow(UnivariateDerivative1 e)
```
    Power operation.
    
    Parameters:
    
    e - exponent
    
    Returns:
    
    this^e
  - exp
```
public UnivariateDerivative1 exp()
```
    Exponential.
    
    Returns:
    
    exponential of the instance
  - expm1
```
public UnivariateDerivative1 expm1()
```
    Exponential minus 1.
    
    Returns:
    
    exponential minus one of the instance
  - log
```
public UnivariateDerivative1 log()
```
    Natural logarithm.
    
    Returns:
    
    logarithm of the instance
  - log1p
```
public UnivariateDerivative1 log1p()
```
    Shifted natural logarithm.
    
    Returns:
    
    logarithm of one plus the instance
  - log10
```
public UnivariateDerivative1 log10()
```
    Base 10 logarithm.
    
    Returns:
    
    base 10 logarithm of the instance
  - cos
```
public UnivariateDerivative1 cos()
```
    Cosine operation.
    
    Returns:
    
    cos(this)
  - sin
```
public UnivariateDerivative1 sin()
```
    Sine operation.
    
    Returns:
    
    sin(this)
  - sinCos
```
public FieldSinCos<UnivariateDerivative1> sinCos()
```
    Combined Sine and Cosine operation.
    
    Returns:
    
    [sin(this), cos(this)]
  - tan
```
public UnivariateDerivative1 tan()
```
    Tangent operation.
    
    Returns:
    
    tan(this)
  - acos
```
public UnivariateDerivative1 acos()
```
    Arc cosine operation.
    
    Returns:
    
    acos(this)
  - asin
```
public UnivariateDerivative1 asin()
```
    Arc sine operation.
    
    Returns:
    
    asin(this)
  - atan
```
public UnivariateDerivative1 atan()
```
    Arc tangent operation.
    
    Returns:
    
    atan(this)
  - atan2
```
public UnivariateDerivative1 atan2(UnivariateDerivative1 x)
```
    Two arguments arc tangent operation.
    
    Parameters:
    
    x - second argument of the arc tangent
    
    Returns:
    
    atan2(this, x)
  - cosh
```
public UnivariateDerivative1 cosh()
```
    Hyperbolic cosine operation.
    
    Returns:
    
    cosh(this)
  - sinh
```
public UnivariateDerivative1 sinh()
```
    Hyperbolic sine operation.
    
    Returns:
    
    sinh(this)
  - tanh
```
public UnivariateDerivative1 tanh()
```
    Hyperbolic tangent operation.
    
    Returns:
    
    tanh(this)
  - acosh
```
public UnivariateDerivative1 acosh()
```
    Inverse hyperbolic cosine operation.
    
    Returns:
    
    acosh(this)
  - asinh
```
public UnivariateDerivative1 asinh()
```
    Inverse hyperbolic sine operation.
    
    Returns:
    
    asin(this)
  - atanh
```
public UnivariateDerivative1 atanh()
```
    Inverse hyperbolic tangent operation.
    
    Returns:
    
    atanh(this)
  - toDegrees
```
public UnivariateDerivative1 toDegrees()
```
    Convert radians to degrees, with error of less than 0.5 ULP
    
    Returns:
    
    instance converted into degrees
  - toRadians
```
public UnivariateDerivative1 toRadians()
```
    Convert degrees to radians, with error of less than 0.5 ULP
    
    Returns:
    
    instance converted into radians
  - taylor
```
public double taylor(double delta)
```
    Evaluate Taylor expansion a univariate derivative.
    
    Parameters:
    
    delta - parameter offset Δx
    
    Returns:
    
    value of the Taylor expansion at x + Δx
  - linearCombination
```
public UnivariateDerivative1 linearCombination(UnivariateDerivative1[] a,
                                               UnivariateDerivative1[] b)
```
    Compute a linear combination.
    
    Parameters:
    
    a - Factors.
    
    b - Factors.
    
    Returns:
    
    Σ_i a_i b_i.
  - linearCombination
```
public UnivariateDerivative1 linearCombination(double[] a,
                                               UnivariateDerivative1[] b)
```
    Compute a linear combination.
    
    Parameters:
    
    a - Factors.
    
    b - Factors.
    
    Returns:
    
    Σ_i a_i b_i.
  - linearCombination
```
public UnivariateDerivative1 linearCombination(UnivariateDerivative1 a1,
                                               UnivariateDerivative1 b1,
                                               UnivariateDerivative1 a2,
                                               UnivariateDerivative1 b2)
```
    Compute a linear combination.
    
    Parameters:
    
    a1 - first factor of the first term
    
    b1 - second factor of the first term
    
    a2 - first factor of the second term
    
    b2 - second factor of the second term
    
    Returns:
    
    a₁×b₁ + a₂×b₂
    
    See Also:
    
    CalculusFieldElement.linearCombination(Object, Object, Object, Object, Object, Object), CalculusFieldElement.linearCombination(Object, Object, Object, Object, Object, Object, Object, Object)
  - linearCombination
```
public UnivariateDerivative1 linearCombination(double a1,
                                               UnivariateDerivative1 b1,
                                               double a2,
                                               UnivariateDerivative1 b2)
```
    Compute a linear combination.
    
    Parameters:
    
    a1 - first factor of the first term
    
    b1 - second factor of the first term
    
    a2 - first factor of the second term
    
    b2 - second factor of the second term
    
    Returns:
    
    a₁×b₁ + a₂×b₂
    
    See Also:
    
    CalculusFieldElement.linearCombination(double, Object, double, Object, double, Object), CalculusFieldElement.linearCombination(double, Object, double, Object, double, Object, double, Object)
  - linearCombination
```
public UnivariateDerivative1 linearCombination(UnivariateDerivative1 a1,
                                               UnivariateDerivative1 b1,
                                               UnivariateDerivative1 a2,
                                               UnivariateDerivative1 b2,
                                               UnivariateDerivative1 a3,
                                               UnivariateDerivative1 b3)
```
    Compute a linear combination.
    
    Parameters:
    
    a1 - first factor of the first term
    
    b1 - second factor of the first term
    
    a2 - first factor of the second term
    
    b2 - second factor of the second term
    
    a3 - first factor of the third term
    
    b3 - second factor of the third term
    
    Returns:
    
    a₁×b₁ + a₂×b₂ + a₃×b₃
    
    See Also:
    
    CalculusFieldElement.linearCombination(Object, Object, Object, Object), CalculusFieldElement.linearCombination(Object, Object, Object, Object, Object, Object, Object, Object)
  - linearCombination
```
public UnivariateDerivative1 linearCombination(double a1,
                                               UnivariateDerivative1 b1,
                                               double a2,
                                               UnivariateDerivative1 b2,
                                               double a3,
                                               UnivariateDerivative1 b3)
```
    Compute a linear combination.
    
    Parameters:
    
    a1 - first factor of the first term
    
    b1 - second factor of the first term
    
    a2 - first factor of the second term
    
    b2 - second factor of the second term
    
    a3 - first factor of the third term
    
    b3 - second factor of the third term
    
    Returns:
    
    a₁×b₁ + a₂×b₂ + a₃×b₃
    
    See Also:
    
    CalculusFieldElement.linearCombination(double, Object, double, Object), CalculusFieldElement.linearCombination(double, Object, double, Object, double, Object, double, Object)
  - linearCombination
```
public UnivariateDerivative1 linearCombination(UnivariateDerivative1 a1,
                                               UnivariateDerivative1 b1,
                                               UnivariateDerivative1 a2,
                                               UnivariateDerivative1 b2,
                                               UnivariateDerivative1 a3,
                                               UnivariateDerivative1 b3,
                                               UnivariateDerivative1 a4,
                                               UnivariateDerivative1 b4)
```
    Compute a linear combination.
    
    Parameters:
    
    a1 - first factor of the first term
    
    b1 - second factor of the first term
    
    a2 - first factor of the second term
    
    b2 - second factor of the second term
    
    a3 - first factor of the third term
    
    b3 - second factor of the third term
    
    a4 - first factor of the fourth term
    
    b4 - second factor of the fourth term
    
    Returns:
    
    a₁×b₁ + a₂×b₂ + a₃×b₃ + a₄×b₄
    
    See Also:
    
    CalculusFieldElement.linearCombination(Object, Object, Object, Object), CalculusFieldElement.linearCombination(Object, Object, Object, Object, Object, Object)
  - linearCombination
```
public UnivariateDerivative1 linearCombination(double a1,
                                               UnivariateDerivative1 b1,
                                               double a2,
                                               UnivariateDerivative1 b2,
                                               double a3,
                                               UnivariateDerivative1 b3,
                                               double a4,
                                               UnivariateDerivative1 b4)
```
    Compute a linear combination.
    
    Parameters:
    
    a1 - first factor of the first term
    
    b1 - second factor of the first term
    
    a2 - first factor of the second term
    
    b2 - second factor of the second term
    
    a3 - first factor of the third term
    
    b3 - second factor of the third term
    
    a4 - first factor of the fourth term
    
    b4 - second factor of the fourth term
    
    Returns:
    
    a₁×b₁ + a₂×b₂ + a₃×b₃ + a₄×b₄
    
    See Also:
    
    CalculusFieldElement.linearCombination(double, Object, double, Object), CalculusFieldElement.linearCombination(double, Object, double, Object, double, Object)
  - equals
```
public boolean equals(Object other)
```
    Test for the equality of two univariate derivatives.
    univariate derivatives are considered equal if they have the same derivatives.
    
    Overrides:
    
    equals in class Object
    
    Parameters:
    
    other - Object to test for equality to this
    
    Returns:
    
    true if two univariate derivatives are equal
  - hashCode
```
public int hashCode()
```
    Get a hashCode for the univariate derivative.
    
    Overrides:
    
    hashCode in class Object
    
    Returns:
    
    a hash code value for this object

Class UnivariateDerivative1

Field Summary

Fields inherited from interface org.hipparchus.CalculusFieldElement

Constructor Summary

Method Summary

Methods inherited from class org.hipparchus.analysis.differentiation.UnivariateDerivative

Methods inherited from class java.lang.Object

Methods inherited from interface org.hipparchus.RealFieldElement

Methods inherited from interface org.hipparchus.CalculusFieldElement

Methods inherited from interface org.hipparchus.FieldElement

Constructor Detail

UnivariateDerivative1

UnivariateDerivative1

Method Detail

newInstance

getReal

getValue

getDerivative

getOrder

getFirstDerivative

toDerivativeStructure

add

add

subtract

subtract

multiply

multiply

multiply

divide

divide

remainder

remainder

negate

abs

ceil

floor

rint

signum

copySign

copySign

getExponent

scalb

hypot

reciprocal

compose

sqrt

cbrt

rootN

getField

pow

pow

pow

pow

exp

expm1

log

log1p

log10

cos

sin

sinCos

tan

acos

asin

atan

atan2

cosh

sinh

tanh

acosh

asinh

atanh

toDegrees

toRadians

taylor

linearCombination

linearCombination

linearCombination

linearCombination

linearCombination