Mathly for Lua is a Lua module that turns Lua into a tiny, portable, free but powerful MATLAB and more. It provides a group of commonly used MATLAB functions and features, including linspace, zeros, ...
Learn how to calculate and plot mathematical functions using a spreadsheet. This tutorial shows step-by-step how to set up formulas, visualize data, and create clear graphs for math and science ...
These codes are pretty old. I no longer have MATLAB so I'm setting the repository to archive. These are functions I wrote during my post doc at USC (2009-2011) to work with receiver function data. It ...
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I just tried Excel's new copilot function!
We'll also see how well it generates new data, and finally we'll go over the key limitations of the copilot function. At the very end, I'll show you an alternative function to the copilot formula in ...
From electronic health records and blood tests to the stream of data from wearable devices, the amount of health information people generate is accelerating rapidly. Yet, many users struggle to ...
Practical examples and exercises help learners apply concepts to real-world projects Updated 2025 editions ensure relevance for modern science, engineering, and research tasks MATLAB is used ...
With a little understanding of your Java Edition files/folders (or at least access to the official Minecraft launcher client), installing a tutorial world should be a pretty simple task. By simply ...
Your business's functions are the things it does – production, sales, marketing, research and billing, for example. The organizational structure defines the relationship and interactions between the ...
Bones are a key part of your skeletal system. They’re lightweight structures that are incredibly strong. A normal adult has around 206 bones in their body. Your bones join together to make your ...
I hold my planner like a life book. It's dazzled with color-coded words, stickers, notes, symbols, and doodles. One might think it's all for fun. In truth, it's all quite necessary. It's my executive ...
Abstract: The book situates itself in a unique niche “between proportional-integral-derivative (PID) and model predictive control (MPC),” as a compromise between the tradeoffs and advantages of each.
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