File:Gradient Map.png
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[edit]DescriptionGradient Map.png |
English: This is the Gradient function for the corresponding Height Map that I uploaded earlier. As you can see, it's much more colorful that the Height Map. That's because it shows how steep the slope of the Height Map is at each point, and how steep it is sloping. The black points indicate where the original function is not changing. These occur not only at local minima, but also local maxima and inflection points. The Gradient can be though of as the two dimensional equivalent of the derivative, for those of you who know Calculus.
The Gradient function is extremely important for optimization, because finding the minimum of a function is equivalent to finding the zero points of the gradient, more or less. |
Date | |
Source | https://www.flickr.com/photos/145745023@N04/47350462831/ |
Author | bjacobdawson |
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[edit]This file is licensed under the Creative Commons Attribution-Share Alike 2.0 Generic license.
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- to remix – to adapt the work
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- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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This image was originally posted to Flickr by bjacobdawson at https://flickr.com/photos/145745023@N04/47350462831. It was reviewed on 27 November 2022 by FlickreviewR 2 and was confirmed to be licensed under the terms of the cc-by-sa-2.0. |
27 November 2022
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 03:57, 27 November 2022 | 1,024 × 1,024 (1.5 MB) | Юрий Д.К. (talk | contribs) | Uploaded a work by bjacobdawson from https://www.flickr.com/photos/145745023@N04/47350462831/ with UploadWizard |
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Horizontal resolution | 37.79 dpc |
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Vertical resolution | 37.79 dpc |
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