The IMSL Numerical Libraries have been the cornerstone of high-performance and desktop computing as
well as predictive analytics applications in science, technical and business environments for well over three decades.
These embeddable mathematical and statistical algorithms, written in C, C#/.NET, Java™,
and Fortran, are used in a broad range of applications -- from programs
that help airplanes fly to allowing people to predict the weather, to those that enable innovative ways to study the human genome as well
as applications that predict stock market behavior and provide risk management and portfolio optimization. The IMSL Libraries can also be
used from Python using PyIMSL Studio or the PyIMSL wrappers.
The IMSL Libraries are regarded as the most sophisticated, flexible, scalable and highly accessible technology available for numerical analysis in the most important mainstream programming environments in use today.
Mathematical and Statistical Functionality for Sophisticated Analytic Applications
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 pre-written mathematical and statistical algorithms that can be embedded into C, C# for .NET, Java™ and Fortran applications or accessed from Python, enhancing return on investment and programmer productivity. The libraries free users from developing their own internal code by providing pre-written mathematical and statistical algorithms that can be embedded into C, C#/.NET, Java™, and Fortran applications.
Its robust, accurate, reliable mathematical and statistical library provides functionality in
a wide range of numerical computing areas including:
- Optimization
- FFT's
- Interpolation
- Differential equations
- Correlation
- Regression
- Time series analysis
- and many more
Numerical Computing Expertise
The IMSL Libraries reflect ongoing numerical analysis research and development, and embody
research expertise in both numerical and scientific computing. The IMSL Libraries computing environment and
support services emphasize user productivity and cost-effectiveness. Visual Numerics provides a significant return on investment by saving up to 95% of the time and cost of developing numerical algorithms.
Programmers at major corporations, research laboratories and academic institutions have used
the IMSL Library tools to build software applications in fields including engineering, research and development,
financial engineering, physics, business analysis, data mining, biotechnology, plus many more.
Developers using the IMSL Libraries find significant benefits in the products ability to
accelerate development time, reduce coding hassle, improve quality, and reduce development costs.
Benefits of the IMSL Libraries
Features of the IMSL Libraries
