Jun 03, 2013
NWA Focus EMI Delivers Real Time Process Intelligence and Unique Accelerating Modules for Shared Knowledge Across the Enterprise and Manufacturing-Centric Collaboration
May 23, 2013
Maplesoft™ (Waterloo, Canada) has released a major new version of its Maple™ Global Optimization Toolbox, which is now available from its partner in the UK, Ireland and the Nordic countries Adept Scientific (Letchworth, Herts).
Apr 19, 2013
New MapleSim release delivers advanced model development and analysis, extended toolchain connectivity and quicker results.
Mar 18, 2013
These Apps can be used in Maple 17 or through the recently announced Möbius Project from Maplesoft providing new ways to bring the power of Maple to even more people.
Mar 18, 2013
Maple 17, available from Adept Scientific (Letchworth, Herts), offers numerous advances in a variety of branches of technical computation that push the frontiers of knowledge and Maple’s capabilities.
Mar 14, 2013
Using Maple, available from Adept Scientific (Letchworth, Herts), instructors can easily create interactive mathematical applications that help their colleagues and students solve problems, visualise solutions and explore concepts.
Mar 12, 2013
MathType 6.9 from Design Science (Long Beach, California) is a powerful interactive equation editor for Windows and Mac that lets you create mathematical notation for word processing, web pages, desktop publishing, presentations, elearning and TeX, LaTeX.
Mar 07, 2013
DSP Development Corporation (Newton, MA) announces DADiSP/ProPac: a combined maths accelerator plug-in module for DADiSP, the engineering spreadsheet designed specifically for technical data analysis.
Feb 28, 2013
Measurement Computing Corporation has announced the release of four, low-cost USB DAQ devices with sampling rates up to 500 kS/s. Available from Adept Scientific, the USB-200 Series confirms MCC as the leading supplier for low-cost USB DAQ.
Feb 21, 2013
New from DSP Development Corporation and available from Adept Scientific, the DADiSP/VectorXL module accelerates vector maths computations by using the Math Kernel Library (MKL) from Intel with speed improvements of 20% to 60% common.