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The link between math and architecture goes back to ancient times, when the two disciplines were virtually indistinguishable. Pyramids and temples were some of the earliest examples of mathematical principles at work. Today, math continues to feature prominently in building design. We’re not just talking about mere measurements — though elements like that are integral to architecture.
Posted by One of the features of calculus is the ability to determine the arc length or surface area of a curve or surface. An arc length is the length of the curve if it were “rectified,” or pulled out into a straight line. You can also think of it as the distance you would travel if you went from one point to another along a curve, rather than directly along a straight line between the points. To see why this is useful, think of how much cable you would need to hang a suspension bridge.
<img alt=" Photo: Taipei 101" src="/magazine/wp-content/images/18-12/st_equation_skycraper_f.jpg" title="Start" height="440" width="660"> Photo courtesy: Taipei 101 A skyscraper is a giant tuning fork. Give one a good knock — like with an earthquake or a heavy gust of wind — and it’ll start vibrating at its own natural resonance frequency (about seven octaves below the lowest notes on a piano). If you’re on the top floor of, say, the 1,667-foot-tall Taipei 101 , you could find yourself swaying back and forth abruptly, a total of up to 2 feet within five seconds. Highly barfogenic.
<img alt="Photo: Michael Schmelling" src="/magazine/wp-content/images/18-12/mf_algorithmolympics_f.jpg" title="Teen Mathletes Do Battle at Algorithm Olympics" width="660" height="440" /> Neal Wu’s last chance for international glory, and maybe America’s, too, begins with a sound like a hippo crunching through a field of dry leaves—the sound of 315 computer prodigies at 315 workstations ripping into 315 gray envelopes in unison. “You have five hours,” a voice booms across the packed gymnasium.
differential equations tutorial
As we already said, the whole point of forecasting is to build models that are accurate on the data you don't have . Yet, at first glance, this looks like yet another crazy mathematician idea: both weird and utterly unpractical. But in our experience, measuring the real forecast accuracy is a real business problem . Failing at this costs money. Actually, the larger the company, the larger the cost. Still clueless about the real forecast error?
Exact equations, solving them through implicit differentiation by Nov 25