The IMSL Numerical Libraries have been the cornerstone of high-performance and deep 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#, Java™, and Fortran, are used in a broad range of applications -- from programs that help airplanes fly to allowing people to predict theweather, 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 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 Applications
The IMSL Libraries are a comprehensive set of mathematical and statistical functions that programmers can embed into their software applications. The IMSL Libraries provide high-performance computing software and expertise needed to develop and execute sophisticated numerical analysis applications. These libraries free users from developing their own internal code by providing pre-written mathematical and statistical algorithms that can be embedded into C, C#, 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 reflects ongoing numerical analysis research and development, and embodies 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® Numerical Libraries
Accelerate Development
Analytical building blocks eliminating the need to write code from scratch
Numerical algorithms are developed, tested, documented, and ready to go
Save up to 95% of the time required to research and develop algorithms
All IMSL Libraries are integrated solutions offering robust mathematical, statistical, financial, and charting algorithms
Develop Better Software Applications
You don't have to worry about coding and testing the algorithms
Free up your developers' bandwidth for critical application-specific feature development
Develop Flexible Software Applications
The IMSL Libraries are written in the standard languages of C/C++, C#, Java, and Fortran
Embed numerical analysis algorithms seamlessly into existing solutions
Improve Quality and Reduce Uncertainty
The IMSL Libraries simplify your projects
A simpler project means a more predictable development and QA schedule
All IMSL algorithms are fully tested and qualified against proven testing criteria
QA efforts can focus on core application testing, not algorithm testing
The IMSL Libraries are fully documented and supported
Reduce Costs
The IMSL Libraries save up to 95% of algorithm development costs
The IMSL Libraries eliminate many hidden costs associated with algorithm development and support:
Background research
Debugging and QA
Porting to your specific environment
Documentation
Maintenance
Scaling for larger deployments
Features of the IMSL® Numerical Libraries
The IMSL Libraries are a set of comprehensive mathematical and statistical functionality for software applications that require numerical analysis. The IMSL Libraries are written in C, C#, Java™ and Fortran.
With the JMSL Library for Java applications, developers have all of the benefits of the IMSL algorithms, plus flexible charting and code examples for quick idea generation; and the IMSL C# Library offers C# and Visual Basic™ .NET developers the only comprehensive set of algorithms, written in 100% C#, that is fully compliant with the .NET Framework.
The algorithms available within the IMSL Libraries cover all of the major categories of functionality commonly used in numerical analysis.
Mathematical
Functionality Categories
Statistical
Functionality Categories
Linear systems
Eigensystem analysis
Interpolation and approximation
Integration and differentiation
Differential equations
Transforms
Nonlinear equations
Optimization
Matrix/vector operations
Special Functions
Utilities
Basic statistics
Regression
Correlation and Covariance
Analysis of Variance
Categorical and Discrete Data Analysis
Nonparametric Statistics
Goodness-of-Fit and Randomness
Time Series and Forecasting
Multivariate analysis
Survival Analysis
Probability Distribution Functions and Inverses
Random Number Generation
Financial Functionality
The IMSL C Library, IMSL C# Library and the JMSL Library save time in coding financial applications by providing a range of functionality for bond pricing and yields, cash flow calculations, interest rate analysis, internal rates of return, and more.
Charting Functionality
The JMSL Library makes it easy to develop many common types of charts, including a definition of XML data format for charting with the JMSL Library, the ability to put multiple chart types on a single axis, and the ability to display multiple data sets in a single chart
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