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Within LTS Haskell 24.4 (ghc-9.10.2)

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1. evaluateHead :: NormalForm sig => sig -> ()

   synthesizer-core	Synthesizer.Generic.Cut

   Evaluating the first value of the signal is necessary for avoiding a space leaks if you repeatedly drop a prefix from the signal and do not consume something from it.

2. evaluate_ :: (MonadDOM m, IsDocument self, ToJSString expression, IsNode contextNode) => self -> Maybe expression -> Maybe contextNode -> Maybe XPathNSResolver -> Maybe Word -> Maybe XPathResult -> m ()

   ghcjs-dom	GHCJS.DOM.Document

   Mozilla Document.evaluate documentation

3. evaluateDerivative :: InterpolationMethod -> [(Double, Double)] -> Double -> Double

   hmatrix-gsl	Numeric.GSL.Interpolation

   Evaluate the derivative of a function by interpolating within the given dataset. For example:

   >>> let xs = [1..10]
   
   >>> let ys map (**2) [1..10]
   
   >>> evaluateDerivative Akima (zip xs ys) 2.2
   4.4
   

   To successfully evaluateDerivative points x, the domain (x) values in points must be monotonically increasing. The evaluation point x must lie between the smallest and largest values in the sampled domain.

4. evaluateDerivative2 :: InterpolationMethod -> [(Double, Double)] -> Double -> Double

   hmatrix-gsl	Numeric.GSL.Interpolation

   Evaluate the second derivative of a function by interpolating within the given dataset. For example:

   >>> let xs = [1..10]
   
   >>> let ys map (**2) [1..10]
   
   >>> evaluateDerivative2 Akima (zip xs ys) 2.2
   2.0
   

   To successfully evaluateDerivative2 points x, the domain (x) values in points must be monotonically increasing. The evaluation point x must lie between the smallest and largest values in the sampled domain.

5. evaluateDerivative2V :: InterpolationMethod -> Vector Double -> Vector Double -> Double -> Double

   hmatrix-gsl	Numeric.GSL.Interpolation

   Evaluate the second derivative of a function by interpolating within the given dataset. For example:

   >>> let xs = vector [1..10]
   
   >>> let ys = vector $ map (**2) [1..10]
   
   >>> evaluateDerivative2V CSpline xs ys 2.2
   2.4
   

   To successfully evaluateDerivative2V xs ys x, the vectors xs and ys must have identical lengths, and xs must be monotonically increasing. The evaluation point x must lie between the smallest and largest values in xs.

6. evaluateDerivativeV :: InterpolationMethod -> Vector Double -> Vector Double -> Double -> Double

   hmatrix-gsl	Numeric.GSL.Interpolation

   Evaluate the derivative of a function by interpolating within the given dataset. For example:

   >>> let xs = vector [1..10]
   
   >>> let ys = vector $ map (**2) [1..10]
   
   >>> evaluateDerivativeV CSpline xs ys 2.2
   4.338867924528302
   

   To successfully evaluateDerivativeV xs ys x, the vectors of corresponding domain-range values xs and ys must have identical lengths, and xs must be monotonically increasing. The interpolation point x must lie between the smallest and largest values in xs.

7. evaluateIntegral :: InterpolationMethod -> [(Double, Double)] -> (Double, Double) -> Double

   hmatrix-gsl	Numeric.GSL.Interpolation

   Evaluate the definite integral of a function by interpolating within the given dataset. For example:

   >>> let xs = [1..10]
   
   >>> let ys = map (**2) [1..10]
   
   >>> evaluateIntegralV CSpline (zip xs ys) (2.2, 5.5)
   51.909
   

   To successfully evaluateIntegral points (a, b), the domain (x) values of points must be monotonically increasing. The integration bounds a and b must lie between the smallest and largest values in the sampled domain..

8. evaluateIntegralV :: InterpolationMethod -> Vector Double -> Vector Double -> Double -> Double -> Double

   hmatrix-gsl	Numeric.GSL.Interpolation

   Evaluate the definite integral of a function by interpolating within the given dataset. For example:

   >>> let xs = vector [1..10]
   
   >>> let ys = vector $ map (**2) [1..10]
   
   >>> evaluateIntegralV CSpline xs ys 2.2 5.5
   51.89853207547169
   

   To successfully evaluateIntegralV xs ys a b, the vectors xs and ys must have identical lengths, and xs must be monotonically increasing. The integration bounds a and b must lie between the smallest and largest values in xs.

9. evaluateV :: InterpolationMethod -> Vector Double -> Vector Double -> Double -> Double

   hmatrix-gsl	Numeric.GSL.Interpolation

   Evaluate a function by interpolating within the given dataset. For example:

   >>> let xs = vector [1..10]
   
   >>> let ys = vector $ map (**2) [1..10]
   
   >>> evaluateV CSpline xs ys 2.2
   4.818867924528303
   

   To successfully evaluateV xs ys x, the vectors of corresponding domain-range values xs and ys must have identical lengths, and xs must be monotonically increasing. The evaluation point x must lie between the smallest and largest values in xs.

10. evaluateDatabase :: MigrationSteps be () a -> a

    beam-migrate	Database.Beam.Migrate.Types

    Run a MigrationSteps without executing any of the commands against a database.

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