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A time scale (or measure chain) is a closed subset of the real line. The common notation for a general time scale is T {\displaystyle \mathbb {T} } . The two most commonly encountered examples of time scales are the real numbers R {\displaystyle \mathbb {R} } and the discrete time scale h Z {\displaystyle h\mathbb {Z} } .
In computer science, a lookup table (LUT) is an array that replaces runtime computation of a mathematical function with a simpler array indexing operation, in a process termed as direct addressing. The savings in processing time can be significant, because retrieving a value from memory is often faster than carrying out an "expensive ...
Discrete time views values of variables as occurring at distinct, separate "points in time", or equivalently as being unchanged throughout each non-zero region of time ("time period")—that is, time is viewed as a discrete variable. Thus a non-time variable jumps from one value to another as time moves from one time period to the next.
In applied physics and engineering, temporal discretization is a mathematical technique for solving transient problems, such as flow problems.. Transient problems are often solved using computer-aided engineering (CAE) simulations, which require discretizing the governing equations in both space and time.
Time scale may refer to: Time standard, a specification of either the rate at which time passes, points in time, or both; A duration or quantity of time: Orders of magnitude (time) as a power of 10 in seconds; A specific unit of time; Geological time scale, a scale that divides up the history of Earth into scientifically meaningful periods
The Damköhler numbers (Da) are dimensionless numbers used in chemical engineering to relate the chemical reaction timescale (reaction rate) to the transport phenomena rate occurring in a system. It is named after German chemist Gerhard Damköhler , who worked in chemical engineering, thermodynamics, and fluid dynamics. [ 1 ]
The array of | | values is known as a periodogram, and the parameter is called NFFT in the Matlab function of the same name. [ 4 ] In order to evaluate one cycle of s N {\displaystyle s_{_{N}}} numerically, we require a finite-length s [ n ] {\displaystyle s[n]} sequence.
In many real world applications, a first-hitting-time (FHT) model has three underlying components: (1) a parent stochastic process {()}, which might be latent, (2) a threshold (or the barrier) and (3) a time scale. The first hitting time is defined as the time when the stochastic process first reaches the threshold.