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The mode of a sample is the element that occurs most often in the collection. For example, the mode of the sample [1, 3, 6, 6, 6, 6, 7, 7, 12, 12, 17] is 6. Given the list of data [1, 1, 2, 4, 4] its mode is not unique. A dataset, in such a case, is said to be bimodal, while a set with more than two modes may be described as multimodal.
When the two modes are unequal the larger mode is known as the major mode and the other as the minor mode. The least frequent value between the modes is known as the antimode. The difference between the major and minor modes is known as the amplitude. In time series the major mode is called the acrophase and the antimode the batiphase ...
Kress defines 'mode' in two ways. One: a mode is something that can be socially or culturally shaped to give something meaning. Images, pieces of writing, and speech patterns are all examples of modes. [6] Two: modes are semiotic, shaped by intrinsic characteristics and their potential within their medium, as well as what is required of them by ...
Each mode has characteristic intervals and chords that give it its distinctive sound. The following is an analysis of each of the seven modern modes. The examples are provided in a key signature with no sharps or flats (scales composed of natural notes).
In real-world applications, modes of variation associated with eigencomponents allow to interpret complex data, such as the evolution of function traits [5] and other infinite-dimensional data. [6] To illustrate how modes of variation work in practice, two examples are shown in the graphs to the right, which display the first two modes of ...
Finally, to satisfy condition three, we must ask whether we can decompose the two elementary modes into other paths that can sustain a steady state while using the same non-zero entries in the elementary mode. In this example, it is impossible to decompose the elementary modes any further without disrupting the ability to sustain a steady state.
The term "mode" in this context refers to any peak of the distribution, not just to the strict definition of mode which is usual in statistics. If there is a single mode, the distribution function is called "unimodal". If it has more modes it is "bimodal" (2), "trimodal" (3), etc., or in general, "multimodal". [2]
When =, =, we can easily see the separatrix and the two basins of attraction by solving for the trajectories backwards in time. In the FitzHugh–Nagumo model, when the linear nullcline pierces the cubic nullcline at the left, middle, and right branch once each, the system has a separatrix. Trajectories to the left of the separatrix converge to ...