What's New
IMSL Fortran Numerical Library provides the essential building blocks needed to develop analytic tools for your organization.
IMSL For Fortran 2025.1
IMSL (R) Fortran Numerical Library provides the essential building blocks needed to develop analytic applications for your organization. Recent updates to IMSL (R) Fortran 2025.1 provide new features and bug fixes, including added nonsingularity check for the U factor in array FACT in the LAPACK case.
IMSL (R) Fortran 2025.1 also includes support for the GNU Fortran compiler on Red Hat Enterprise Linux 9 and the Intel oneAPI 2025 compiler.
The full list of the latest supported platforms is available online.
IMSL For Fortran (FNL) 2024.1
The latest release of FNL includes several platform updates including RHEL 9, Intel oneAPI 2024.0 and support for the new oneAPI IFX compiler on several platforms.
The full list of the latest supported platforms is available online.
IMSL C 2025.1
IMSL C Numerical Library provides the essential building blocks needed to develop analytic applications for your organization. Recent updates to IMSL C 2025.1 provide new features and bug fixes, including three functions for negative binomial distribution. The negative binomial distribution provides a useful model for counts of discrete random events, such as incidences of disease in certain populations, occurrences of tornados across the country, and many others.
In addition, there is now a graph-based variant of the simplex method normally used to solve the transportation problem. By finding an initial solution relatively close to the optimum, this method often results in fewer steps being required to get the optimal solution. Internal experimentation has shown this method to be often significantly faster than the two other methods available, the revised simplex and the interior-point method.
Additional features include:
- Support for Intel oneAPI 2025
- Performance improvements and a new optional argument to control tolerance in internal rate of return
- Functions to calculate the determinant of real or complex square matrices
For more information, see the release notes.
IMSL C 2024.1
New Features
- Developers are now able to generate, store, and reuse gradient boosted models in IMSL. This allows the developer to work in two phases to first generate a model and then use that model in a production environment without having to train the model each time.
- IMSL now allows you to compute eigenvalues and eigenvectors of symmetric and Hermitian band matrices in band symmetric storage format.
Bug Fixes
- This release includes several bug fixes and improvements in memory use and error handling. Updating to this version will help you stay up to date with underlying platforms and provide the most stable environment for your analytics applications.
- The full list of fixes is available in the readme.