Overview
Solutions for Complex Problems
Simulation and optimisation are fast becoming the techniques of choice for solving
complex problems. These powerful techniques allow better, more informed decisions
in uncertain situations. They guide decisions on what to buy, where to invest, how
much to produce and how to allocate resources - all in rapidly changing, risk-filled
environments.
One
Model - Many Users
With simulation and optimisation, many times a standard model is used over and over
by different users. Each user changes the model inputs and generates new results. For
example, a financial planning model that simulates the future value of a stock portfolio
could be used by thousands of different users, each with a different investment mix.
The simulation model stays the same use-to-use; only the model inputs (each user's "portfolio")
change. Another example would be a single corporate financial planning model accessible
worldwide, with individual operating units entering their own input parameters to the
overall simulation.
Add
Analytics - Then Deploy
The challenge for the developer of simulation and optimisation applications is to include
the necessary analytics that a model requires without building the technology from "scratch." The
model then must be delivered to the end users, wherever they may be, via a corporate
network or the Internet. Users can then enter the necessary input data, run analyses
and use the results to make better decisions.
With this in mind, Palisade Corporation provides the most comprehensive set of simulation and optimisation tools for server-based applications available today. By using the appropriate toolkit, developers can easily enhance their web and network applications with the latest simulation and optimisation technologies. Models run using these tools are fast and scalable, ready for the demands of the most processing-intensive web environments.
Take a Further Look
To learn more about the solutions available from Palisade, look through the available
tools and run the example applications we've provided. Examine the models that can
be created using the developer kits. Browse the elements of the toolkits themselves,
reviewing the available objects, properties, methods and other programming capabilities.
Peruse the code for each example and see for yourself how easy it is to develop your
own application that includes these powerful technologies. With Palisade Developer
Kits, customized solutions using cutting-edge analytics are finally within your reach!
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The @RISK Developer's Kit (RDK) is Palisade's widely-used risk analysis programming
toolkit. The RDK allows you to build Monte Carlo simulation models using C,
Visual Basic or any other Windows programming language. Version 4.1 includes
examples of programmes that access the ActiveX/COM interface from the .Net
environment. |
The BestFit Developer's Kit (BDK) allows you to fit probability distribution
functions to data in programmes written in C, Visual Basic, or other programming
languages. The BDK can be used to select probability distributions based on
historical or sampled data to be used in any Windows programme. Version 4.1
includes examples of programmes that access the ActiveX/COM interface from
the .Net environment. |
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The Evolver Developer's Kit (EDK) is Palisade's optimisation programming toolkit.
The EDK allows you to build genetic algorithm optimisation models using C,
C++, Visual Basic or any other Windows programming language. Version 4.1 provides
a new ActiveX/COM interface with intuitive object models for different types
of optimisation problems; it also provides examples demonstrating how to use
the interface in Visual Basic and in the .Net environment. |
The new RISKOptimizer Developer’s Kit (RODK) lets you combine Evolver’s
genetic-algorithm optimisation engine with the power of @RISK’s Monte
Carlo simulation for unprecedented problem-solving ability! The ActiveX/COM
interface incorporates the interfaces of the RDK and EDK, enabling the users
of these products to make a quick transition to the RODK. Visual Basic and
.Net examples demonstrate how easy it is to build risk analysis and optimisation
into programmes using Palisade tools. |
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