Maplesoft Maple 2015.2a Update Only (x86/x64) | 99 / 106 Mb
Maplesoft has released update of its flagship product, Maple 2015, the mathematical computing software for education, research, and development involving mathematics, engineering, and the sciences.
With Maple 2015, Maplesoft offers important new abilities to both educators and researchers in the areas of data analysis, application development, statistics education, and more.
Maple 2015 includes a powerful new infrastructure for accessing, working with, and visualizing millions of data sets. Maple customers can freely access time series data sets from finance, economics, and demographics, such as current data on stocks and commodities, foreign exchange rates, macroeconomic data on labor market indicators, population statistics, and much more. All data, whether it is built into Maple or available through a connection with Quandl, an online provider of curated data from hundreds of sources, can be seamlessly searched, downloaded, and used inside Maple. Customers can use the powerful computation and data visualization tools in Maple 2015 to investigate trends, analyze, filter, and visualize results using a wide variety of techniques, and build applications based on the data.
Maple 2015.1, a maintenance update, is available to all users running Maple 2015. This update contains a variety of improvements to Maple 2015, including:
– Support for high-resolution monitors (e.g. 4K, UHD)
– Enhancements to the Explore command
– Improvements to the DataSets package
– Updates to the Microsoft Excel plug-in
– Enhancements to unit handling
– A variety of improvements to the math engine, interface, and documentation
Maplesoft, a subsidiary of Cybernet Systems Co., Ltd. in Japan, is the leading provider of high-performance software tools for engineering, science, and mathematics. Its product suite reflects the philosophy that given great tools, people can do great things.
Maplesoft’s core technologies include the world’s most advanced symbolic computation engine and revolutionary physical modeling techniques. Combined together, these technologies enable the creation of cutting-edge tools for design, modeling, and high-performance simulation.
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