Learn to calculate fixed asset depreciation in Excel using methods like straight-line, sum of the years' digits, and more for accurate financial analysis.

Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.

Excel has outlasted many tech trends, and in the age of AI, it remains very much in the mix. While new platforms promise automation and out-of-the-box intelligence, many teams continue to rely on ...

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...

This is a column about a helpful trick that will radically improve your memory with minimal effort so you can learn faster. But before I get to the science behind the technique and how it can help ...

This video explains how to divide numbers in Excel using proper formulas while avoiding common mistakes that lead to errors. It covers correct cell referencing, handling zero values, and best ...

The RICE method requires a little math, but it might be just the thing you need to tackle the new year. Lindsey Ellefson is Lifehacker’s Features Editor. She currently covers study and productivity ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

Q. I work with large spreadsheets. These spreadsheets have hundreds or even thousands of rows and often 10 or more columns. It’s so much to process that I become confused and make mistakes. Does Excel ...

Microsoft has launched AI agents for Word, Excel, and PowerPoint. The agents are available for business and individual subscribers. Now accessible on the web, the agents will expand to the desktop.

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...