diff --git a/FinancialApplications/_sources/index.rst.txt b/FinancialApplications/_sources/index.rst.txt index 8bbeb90..c970b20 100644 --- a/FinancialApplications/_sources/index.rst.txt +++ b/FinancialApplications/_sources/index.rst.txt @@ -83,3 +83,4 @@ utils.rst + diff --git a/FinancialApplications/qml4var.losses.html b/FinancialApplications/qml4var.losses.html index 3b8cad6..2969913 100644 --- a/FinancialApplications/qml4var.losses.html +++ b/FinancialApplications/qml4var.losses.html @@ -118,23 +118,7 @@
QQuantLib.qml4var.losses.compute_integral(y_array, x_array, dask_client=None)
-
-
Function for computing numerical integral of inputs arrays. Considerations:
    -

  • if x_array has shape(n, 1) then numpy trapz is used for computing integral.

    • -
  • -
    if x_array has shape(n, 2) and dask_client is None numpy trapz

    is used for computing the double integral.

    -
    -
    -
    • -
  • -
    if x_array has shape(n, 2) and dask_client is provided then MonteCarlo

    integration is used

    -
    -
    -
    • -

  • if x_array has shape(n, > 2) MonteCarlo integration is used

    • -
-
-
+

Function for computing numerical integral of inputs arrays.

Parameters:
    @@ -153,6 +137,23 @@

    float or future

+
+

Note

+
    +

  • if x_array has shape(n, 1) then numpy trapz is used for computing integral.

    • +
  • +
    if x_array has shape(n, 2) and dask_client is None numpy trapz

    is used for computing the double integral.

    +
    +
    +
    • +
  • +
    if x_array has shape(n, 2) and dask_client is provided then MonteCarlo

    integration is used

    +
    +
    +
    • +

  • if x_array has shape(n, > 2) MonteCarlo integration is used

    • +
+
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