• 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

• You don't have to worry about coding and testing the algorithms
• Free up your developers' bandwidth for critical application-specific feature development

• The IMSL Libraries are written in the standard languages of C/C++, C#, Java, and Fortran
• Embed numerical analysis algorithms seamlessly into existing solutions

• 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

• 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

• IMSL C Library Overview
  
• IMSL C# Library Overview
  
• JMSL Library Overview
  
• IMSL Fortran Library Overview
  
• PyIMSL Studio
  

IMSL Libraries Overview