Transforming enterprise Java software development so teams can build better software, much faster than they ever have before. They also facilitate development of simpler Fortran applications while providing full depth and control for experienced programmers. The JMSL Library provides a broad range of functionality, from basic algorithms such as linear algebra and regression to advanced neural network forecasting and other data mining, modeling, and prediction technologies. By leveraging its pre-built algorithms, users can save weeks or months of development effort by embedding JMSL Library functions rather than building new algorithms from scratch. What is Data Science? It enables analytics to be easily and seamlessly embedded in applications, database, BI solutions. The neural network forecasting classes have tremendous potential for businesses by offering the ability to build predictive models using historical data and training the network to optimize the model over time as more information is obtained.
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Tools to extract useful information from data. Many of our customers use Java or Java-based tools, from big data analytics and advanced business GUIs to deep security and compliance testing for enterprise and mobile applications.
Java continues to grow, and Rogue Wave continues to help enterprises solve the big problems, now with a larger Java footprint. Blog The latest expert opinions, articles, and guides for the Java professional.
Try some interactive online demos of JViews here. His passion is around user groups and communities. As the only analytics and numerical software package that includes integrated charting, IMSL for Java allows organizations to gain valuable insights into their data and share results quickly.
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Diagnostic error messages are clear and informative. The JMSL Numerical Library is the broadest collection of mathematical, statistical, financial, data mining, and charting classes available in percent Java. You can see the Java checker reference here and, for example, a mapping of Java checkers to popular industry standards. The JMSL Library provides robust data analysis technology for the Java platform and a fast, scalable framework for tailored analytical applications.
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Many Java developers now find that they need mathematical or statistical functionality that lies beyond the functionality available in imel standard Java language. Visualization for Java — helps aggregate, display, and understand massive amounts of business data in real-time, including highly-interactive, high-performance visuals.
imdl The neural network forecasting classes have tremendous potential for businesses by offering the ability to build predictive models using historical data and training the network to optimize the model over time as more information is obtained. IMSL provides high-performance computing software and expertise needed to develop lmsl execute sophisticated numerical analysis applications.
IMSL for Java — for big data analytics, data mining, and machine learning, teams around the world rely on IMSL for its collection of embeddable mathematical and statistical methods. In addition, Visual Numerics' Consulting Services combine technical expertise, decades of hands-on experience and a combination of powerful products to create the highest quality solutions possible for your visual data analysis needs.
Open Source Support Resolve open source issues ranging from package selection and setup to integration and production problems with expert, commercial-grade technical support.
Data Science for the Transportation Problem. The intuitive object-oriented programming interface allows Java developers to be immediately productive. Mathematical and Statistical Functionality for Your Applications The IMSL libraries are a comprehensive set of mathematical and statistical functions that programmers can embed into their software applications. Data Science Models and Machine Learning.
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The availability of industry-leading IMSL Library algorithms on the Java platform allows organizations to gain insight into valuable data and share analysis results across the enterprise quickly.
It is thread safe and features well-organized and extensive documentation.

Data Science for Volatility Forecasting. Transforming enterprise Java software development so teams can build better software, much faster than they ever have before. Answering the basics about data science.
A use case discussion on solving the transportation problem. RSS feed for comments on this post. By leveraging its pre-built algorithms, users can save weeks or months of development effort by embedding JMSL Library functions rather than building new algorithms from scratch.
Dynamic Analysis See and prevent execution, memory, and data issues on running systems with highly scalable and customizable dynamic analysis. These interface modules simplify and speed coding while improving quality by reducing the likelihood of mistakes.
By using our site you understand and agree that zeroturnaround. Application Security Protect your software against security risks by detecting vulnerabilities within code and during runtime. Common areas of functionality that developers value within JMSL includes matrix manipulations, linear algebra, optimization, FFT's, interpolation, differential equations, correlation, regression, time series analysis, financial functions, charting, and much more.
It enables analytics to be easily and seamlessly embedded in applications, database, BI solutions.
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