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First-fit-decreasing (FFD) is an algorithm for bin packing. Its input is a list of items of different sizes. Its input is a list of items of different sizes. Its output is a packing - a partition of the items into bins of fixed capacity, such that the sum of sizes of items in each bin is at most the capacity.
First-fit (FF) is an online algorithm for bin packing. Its input is a list of items of different sizes. Its input is a list of items of different sizes. Its output is a packing - a partition of the items into bins of fixed capacity, such that the sum of sizes of items in each bin is at most the capacity.
The algorithm can be made much more effective by first sorting the list of items into decreasing order (sometimes known as the first-fit decreasing algorithm), although this still does not guarantee an optimal solution and for longer lists may increase the running time of the algorithm. It is known, however, that there always exists at least ...
Robinson projection of the world The Robinson projection with Tissot's indicatrix of deformation Map of the world created by the Central Intelligence Agency, with standard parallels 38°N and 38°S. The Robinson projection is a map projection of a world map that shows the entire world at once. It was specifically created in an attempt to find a ...
Best-fit is an online algorithm for bin packing. Its input is a list of items of different sizes. Its input is a list of items of different sizes. Its output is a packing - a partition of the items into bins of fixed capacity, such that the sum of sizes of items in each bin is at most the capacity.
Next-k-Fit is a variant of Next-Fit, but instead of keeping only one bin open, the algorithm keeps the last bins open and chooses the first bin in which the item fits. For k ≥ 2 {\displaystyle k\geq 2} , NkF delivers results that are improved compared to the results of NF, however, increasing k {\displaystyle k} to constant values larger than ...
Map in PNG format (13 kB) Map after automated conversion and touch up to re-add the labels and adjust colors (18 kB) Other conversions may not go as well. The results depend on having high-quality scans, reasonable settings, and good algorithms. Scanned images often have a lot of noise. The bitmap image may need a lot of work to clean it up.
This illustration shows how a cube map is indexed and addressed. A cube texture indexes six texture maps from 0 to 5 in order Positive X, Negative X, Positive Y, Negative Y, Positive Z, Negative Z. [5] [6] The images are stored with the origin at the lower left of the image. The Positive X and Y faces must reverse the Z coordinate and the ...