ParaMonte Fortran 2.0.0 Parallel Monte Carlo and Machine Learning LibrarySee the latest version documentation.

This module contains classes and procedures to perform numerical integrations. More...

## Data Types

Generate and return the integral of the input function getFunc() in the closed range [lb, ub] using the Adaptive Romberg extrapolation method. More...

type  lbis_type
This is the indicator type for generating instances of objects that indicate the integration interval is open and, the integrand has an Integrable square-root type of Singularity at the finite Lower Bound of integration (LBIS). More...

type  nexp_type
This is the indicator type for generating instances of objects that indicate the integration interval is open and, the intervals should be spaced assuming an integrand that behaves like a Negative-Exponent Exponential (NEXP), such that the upper limit of integration is allowed to be $$b = +\infty$$. More...

type  open_type
This is the indicator type for generating instances of objects that indicate the integration interval is open. More...

type  pexp_type
This is the indicator type for generating instances of objects that indicate the integration interval is open and, the intervals should be spaced assuming an integrand that behaves like a Positive-Exponent Exponential (PEXP), such that the lower limit of integration is allowed to be $$a = -\infty$$. More...

type  pwrl_type
This is the indicator type for generating instances of objects that indicate the integration interval is open $$(a, b)$$ and, the intervals should be spaced assuming an integrand that behaves like,. More...

type  ubis_type
This is the indicator type for generating instances of objects that indicate the integration interval is open and, the integrand has an Integrable square-root type of Singularity at the finite Lower Bound of integration (LBIS). More...

## Variables

character(*, SK), parameter MODULE_NAME = "@pm_quadRomb"

## Detailed Description

This module contains classes and procedures to perform numerical integrations.

Test:
test_pm_distExp

Final Remarks

If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.

1. If you use any parts or concepts from this library to any extent, please acknowledge the usage by citing the relevant publications of the ParaMonte library.
2. If you regenerate any parts/ideas from this library in a programming environment other than those currently supported by this ParaMonte library (i.e., other than C, C++, Fortran, MATLAB, Python, R), please also ask the end users to cite this original ParaMonte library.

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Author:
Amir Shahmoradi, Oct 16, 2009, 4:41 AM, Michigan
Joshua Alexander Osborne, May 28, 2020, 9:06 PM, Arlington, TX