global maximum การใช้

• Thus, x = e is the unique global maximum of f ( x ).
• Creep is analogous to the idea of a local maximum vs . a global maximum.
• Figure 3 illustrates a distribution with a single global maximum which by strict definition is unimodal.
• Note that a global maximum point is always a local maximum point, and similarly for minimum points.
• Hill climbing will not necessarily find the global maximum, but may instead converge on a local maximum.
• However, as many functions are not convex hill climbing may often fail to reach a global maximum.
• In general, multiple maxima may occur, with no guarantee that the global maximum will be found.
• Likewise, if is negative, the sextic function decreases to negative infinity and has a global maximum.
• Likewise, if is negative, the octic function decreases to negative infinity and has a global maximum.
• Ordered left-to-right, the rightmost tree is the smallest and its root element is the global maximum.
• Likewise, if " a " is negative, it decreases to negative infinity and has a global maximum.
• According to a 2016 study, it was found that the global maximum of ANE ancestry occurs in modern-day Afanasevo cultures.
• In this technique we don't take the global maximum value, but the first maximum value that is above a certain threshold.
• Are you sure there are no ups and downs ( valleys, hills ) on the way from the global maximum to either end?
• Note that a point is a strict global maximum point if and only if it is the unique global maximum point, and similarly for minimum points.
• Note that a point is a strict global maximum point if and only if it is the unique global maximum point, and similarly for minimum points.
• A population at a global maximum on the adaptive landscape corresponds an evolutionarily stable strategy ( ESS ) and will become dominant, driving all others toward extinction.
• I'd like to find the global maximum, so an obvious approach would be to look for all the stationary points and see which one provides the greatest value.
• To ensure that the global maximum of a non-linear problem can be identified easily, the problem formulation often requires that the functions be convex and have compact lower level sets.
• Thus, repeats of evolution from the same starting point tend to diverge to different local maxima rather than converge on a single global maximum as they would in a smooth, additive landscape.