The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct ...

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Abstract: Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

Sven, a sales leader, received a call from a major customer who was furious. Their order arrived late, the product was damaged, and to top it off, their invoice didn’t reflect the volume discount ...

For some high school students, statistics and other data science courses have unseated calculus as the de facto option for pursuing advanced math, in part due to targeted state efforts to expand ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

We all know that calculus courses such as 18.01 and 18.02 are univariate and vector calculus, respectively. Modern applications such as machine learning and large-scale optimization require the next ...

I have been trying to set up and run ONION geometry-optimization calcs, and have been running into some problems. If I run an open-shell system through xTB, it ignores my attempts to specify the ...

In the late 19th century, Karl Weierstrass invented a fractal-like function that was decried as nothing less than a “deplorable evil.” In time, it would transform the foundations of mathematics.