macOS New app Release – Ockham 2.0

shot1_e

Product Announcement – KnowledgeMiner Software of Berlin, Germany has released Ockham 2.0 for Mac OS X, its innovative app for performing rigorous sensitivity analyses for a high number of model parameters. Ockham is based on self-organizing analysis concepts, and it is designed to be a valuable tool in academic research and for industry practitioners across a wide spectrum of disciplines including but not limited to environmental engineers, pharmaceutical scientists, oil and gas reservoir simulation engineers, government agencies and local authorities.

Ockham is a novel and easy to use tool, which reads data representing a mathematical model in an open Excel worksheet to perform a global sensitivity analysis of the model. Ockham’s new and original approach to global sensitivity analysis considers both single parameters and interactions between model parameters as a more complete, more accurate, and safer assessment of uncertainty than ‘one-factor-at-a-time’ approaches used in other commercial software.

Feature Highlights:

  • High degree of automation by implementation of original self-organizing modeling concepts proven in other products of the company for many years
  • Based on the theory of variance-based global sensitivity analysis (Sobol indices)
  • Determines the influence of not only single parameters but also their interactions
  • Simple, one-click communication with Excel to read data and to report analysis results back to Excel or other apps

Language Support: English, French, and German

System Requirements:

  • OS X 10.10 or higher
  • 64-bit CPU
  • Microsoft Excel for Mac version 2011 or newer

Ockham 2.0 starts at $15 (USD), and it is available worldwide exclusively through the KnowledgeMiner Software website. A free Demo version is available for download.

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s