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Numerical Analysis
and Visualization in Business
Executives today are constantly under pressure to make quick, well
informed decisions. As a result, they need more powerful and timely
business analytics than ever before, and they need reliable results
for confident decision-making.
The combination of numerical analysis and visualization allows
organizations to gain insight into valuable business data and
uncover unforeseen trends and previously unarticulated
relationships. However, these discoveries are not useful unless
applied quickly to the decision making process. This is where the
use of Java‘ for data analysis comes into play. It allows analysis
results to be shared across the enterprise quickly
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Numerical Analysis and Visualization in
Technology
The JMSL Numerical Library is also widely used for robust analysis
and charting in traditional application areas such as scientific and
research organizations, government, and educational institutions.
For Over 30 years, Visual Numerics has
brought advanced numerical analysis capabilities to these and other
communities and now, the JMSL Library brings advanced mathematics
and statistics to the Java language.
Why We Are Different
Until now, the Java language did not naturally allow for robust
numerical analysis. With the JMSL Library, first introduced in 1997
when the language was in its infancy, Visual Numerics has made it
possible to perform simple to complex data analysis on the Java
platform by developing a unique set of custom language extensions.
These extensions provide the basis for optimized business analytics
on one of the most flexible and collaborative platforms available.
The JMSL Library is a complete collection
of mathematical, statistical and charting classes, written in 100%
Java, which provides the ability to develop network-centric, cost
effective data analysis applications. It is the only solution to
combine integrated charting with the reliable mathematical and
statistical functionality of the industry-leading IMSL™ algorithms.
Numerical Analysis and Visualization in
Technology
The JMSL Library accelerates development by allowing programmers to
write only the parts of their application that they know best.
Instead of writing their own routines and algorithms, or trusting
public domain software with questionable results, developers can get
reliable and quick results every time with the JMSL Library. These
pre-packaged algorithms, containing the most widely used routines in
a broad range of industries, allow developers to apply their
specific expertise to the problem at hand without wasting time
formulating new algorithms. This significantly reduces development
time and eliminates the need to spend time on code maintenance and
documentation.
Key Advantages
- Robust Analysis on the Java Platform – The only comprehensive
100% pure Java Numerics solution with extended language capability
for numerical analysis on the Java platform
- Reliable - Based on the industry-standard IMSL algorithms with
over 30 years experience in numerical analysis
- Delivers Unprecedented Numerical Analysis in Java with
Charting and Graphing Capabilities
- Quick Start-up – Mainstream language, non-proprietary
environment
- More Flexible – Platform independent (no porting issues); easy
to embed in existing, standalone or networked applications
- Lower Cost – Saves time for development efforts, Q/A and
support
- Faster Development Cycle than Home Grown – Up to 95% savings
Typical Application Areas
- Risk Management and Portfolio Optimization in Finance and
Insurance
- Manufacturing Yield Analysis, Process Control
- R&D Analytical Tools for Data Analysis and Product
Optimization
- Energy Consumption Analysis
- Customer and Market Visual Data Analysis
- Extending Analysis and Visualization Capabilities for ISVs
- Business Intelligence
- Databases
- Supply Chain
Key Advantages
The latest release of the JMSL Numerical Library, version 2.5,
includes the new, innovative JMSL Application Quick Start Pack,
Version 1.0 that includes a number of useful demos and code for
quick application development ideas. Furthermore, there are new,
more robust, non-linear optimization routines, curve fitting
functions for graphical display, data mining and statistical
algorithms, charting enhancements and a new program for educators
interested in teaching Java Numerical analysis.
The JMSL Library continues to be the
leader providing robust data analysis and visualization technology
for the Java platform
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