Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

Discover the 4 Excel features that are changing data management forever—PivotTables, Power Query, Excel Tables, and Dynamic ...

When Andrew Grigolyunovich first started using Excel more than two decades ago, he never imagined the spreadsheet program would land him in Las Vegas or on ESPN.   The Latvian financial consultant ...

Working with large datasets in Excel? Whether you're a analyst, manager, or anyone handling raw data, this guide is built for you and it's now completely FREE. “Getting Great Results with Excel Pivot ...

CoreWeave, which provides cloud servers to large companies training AI models, has struck an agreement to acquire OpenPipe, a two-year-old Y Combinator-backed startup that helps enterprises develop ...

Microsoft is once again pushing the boundaries of productivity software with the launch of Vibe Working, a new approach that ...

Unsigned veteran players can earn a contract with an NHL team by impressing enough during training camp on a professional tryout contract (PTO). Camps have opened and the regular season begins Oct. 7.

Abstract: In this technical article, we present a dual active-set solver for quadratic programming that has properties suitable for use in embedded model predictive control applications. In particular ...

Abstract: Deep reinforcement learning (DRL) methods have achieved remarkable success in solving static traveling salesman problems (TSP). However, dynamic TSP (DTSP), with the random appearance of new ...

systems adoption, with Microsoft and Google productivity suites, and essential IT systems for high performing organizations, HR, IT, Finance, and sales teams to make better business decisions.

Due to the development in structural analysis studies, optimization techniques have become part in the design of reinforced concrete structures. Making it possible to design structures with optimized ...

Multi-task learning (MTL) is a learning paradigm that enables the simultaneous training of multiple communicating algorithms. Although MTL has been successfully applied to ether regression or ...