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For such problems, to achieve given accuracy, it takes much less computational time to use an implicit method with larger time steps, even taking into account that one needs to solve an equation of the form (1) at each time step. That said, whether one should use an explicit or implicit method depends upon the problem to be solved.
The strong-interface position views language learning much the same as any other kind of learning. In this view, all kinds of learning follow the same sequence, from declarative knowledge (explicit knowledge about the thing to be learned), to procedural knowledge (knowledge of how the thing is done), and finally to automatization of this procedural knowledge.
In computer programming, explicit parallelism is the representation of concurrent computations using primitives in the form of operators, function calls or special-purpose directives. [1] Most parallel primitives are related to process synchronization, communication and process partitioning. [ 2 ]
Selenium was originally developed by Jason Huggins in 2004 as an internal tool at ThoughtWorks. [5] Huggins was later joined by other programmers and testers at ThoughtWorks, before Paul Hammant joined the team and steered the development of the second mode of operation that would later become "Selenium Remote Control" (RC).
With a blocking condition variable, the signaling thread must wait outside the monitor (at least) until the signaled thread relinquishes occupancy of the monitor by either returning or by again waiting on a condition variable. Monitors using blocking condition variables are often called Hoare-style monitors or signal-and-urgent-wait monitors.
In the study of graph algorithms, an implicit graph representation (or more simply implicit graph) is a graph whose vertices or edges are not represented as explicit objects in a computer's memory, but rather are determined algorithmically from some other input, for example a computable function.
An implicit data structure is one with constant O(1) space overhead (above the information-theoretic lower bound).. Historically, Munro & Suwanda (1980) defined an implicit data structure (and algorithms acting on one) as one "in which structural information is implicit in the way data are stored, rather than explicit in pointers."
The emphasis on explicit control flow distinguishes an imperative programming language from a declarative programming language. Within an imperative programming language , a control flow statement is a statement that results in a choice being made as to which of two or more paths to follow.