IMSL® Numerical Libraries
Rogue Wave’s IMSL Numerical Libraries offer the largest collection of commercially-available math and statistical functions for science, technical, and business environments. These embeddable mathematical and statistical algorithms are used in a broad range of applications — including programs that help airplanes fly, predict the weather, enable innovative study of the human genome, predict stock market behaviour and provide risk management and portfolio optimization.
Organizations from industries such as finance,telecommunications,oil and gas, government,aerospace and manufacturing depend on the robust and portable IMSL Numerical Libraries to efficiently build high-performance, mission-critical applications. With IMSL, organizations can realize a reduction in total cost of ownership, reduce development time and costs, and improve quality and maintainability, while putting more focus on their key competencies. Often used to create competitive differentiation in a wide variety of innovative solutions, IMSL has been the best-kept secret of industry leaders for over four decades.
“By using IMSL Numerical Libraries, I can definitely say that 50% of my research time is saved by simply calling functions like linear/nonlinear equation solvers and random number generators instead of coding and testing these subroutines myself.”
Dr. Bhairavavajjula Nageswara Rao, Assistant Professor, IIT Madras
Embeddable Mathematical and Statistical Functionality
The IMSL Libraries are a comprehensive set of mathematical and statistical functions that programmers can embed into their software applications. The libraries save development time by providing optimized mathematical and statistical algorithms that can be embedded into C, C++, .NET, Java ™ and Fortran applications, enhancing return on investment and programmer productivity. The IMSL Libraries can also be used from Python using PyIMSL Studio or the PyIMSL wrappers. Beyond choice of programming language, the IMSL Libraries are supported across a wide range of hardware and operating system environments including Windows, Linux, Apple and many UNIX platforms.
Functional areas included in the IMSL Numerical Libraries
|Mathematical Functionality||Statistical Functionality||Data Mining and Forecasting Functionality|
Interpolation and Approximation
Time Series and Forecasting
Correlation and Covariance
Analysis of Variance
Goodness of Fit
Random Number Generation
Naïve Bayes Classification
Principal Components Analysis
Variances & Covariances
Analysis of Variance
And many more