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Sediment sorting is influenced by: grain sizes of sediment, processes involved in grain transport, deposition, and post-deposition processes such as winnowing. [3] As a result, studying the degree of sorting in deposits of sediment can give insight into the energy, rate, and/or duration of deposition, as well as the transport process responsible for laying down the sediment.
Grain size (or particle size) is the diameter of individual grains of sediment, or the lithified particles in clastic rocks. The term may also be applied to other granular materials. This is different from the crystallite size, which refers to the size of a single crystal inside a particle or grain. A single grain can be composed of several ...
Sedimentary structures – Geologic structures formed during sediment deposition; Settling – Process by which particulates move towards the bottom of a liquid and form a sediment; Shields parameter – Dimensionless parameter in fluid mechanics; Sorting - sediment sorting; Stokes' law – Equation for the velocity of a body in viscous fluid
Such a component or property is called a sort key. For example, the items are books, the sort key is the title, subject or author, and the order is alphabetical. A new sort key can be created from two or more sort keys by lexicographical order. The first is then called the primary sort key, the second the secondary sort key, etc.
Schematic representation of difference in grain shape. Two parameters are shown: sphericity (vertical) and rounding (horizontal). Rounding, roundness or angularity are terms used to describe the shape of the corners on a particle (or clast) of sediment. [1] Such a particle may be a grain of sand, a pebble, cobble or boulder.
Bubble sort, sometimes referred to as sinking sort, is a simple sorting algorithm that repeatedly steps through the input list element by element, comparing the current element with the one after it, swapping their values if needed. These passes through the list are repeated until no swaps have to be performed during a pass, meaning that the ...
The divide-and-conquer technique is the basis of efficient algorithms for many problems, such as sorting (e.g., quicksort, merge sort), multiplying large numbers (e.g., the Karatsuba algorithm), finding the closest pair of points, syntactic analysis (e.g., top-down parsers), and computing the discrete Fourier transform . [1]
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