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Minimizing the depth/span is important in designing parallel algorithms, because the depth/span determines the shortest possible execution time. [8] Alternatively, the span can be defined as the time T ∞ spent computing using an idealized machine with an infinite number of processors. [9] The cost of the computation is the quantity pT p. This ...
Parallel analysis, also known as Horn's parallel analysis, is a statistical method used to determine the number of components to keep in a principal component analysis or factors to keep in an exploratory factor analysis. It is named after psychologist John L. Horn, who created the method, publishing it in the journal Psychometrika in 1965. [1]
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values.
In computer science, a parallel algorithm, as opposed to a traditional serial algorithm, is an algorithm which can do multiple operations in a given time. It has been a tradition of computer science to describe serial algorithms in abstract machine models, often the one known as random-access machine .
5 Time series analysis. 6 Charts and diagrams. 7 Other abilities. 8 See also. 9 Footnotes. 10 References. 11 Further reading. Toggle the table of contents. Comparison ...
If statement S1 takes T time to execute, then the loop takes time n * T to execute sequentially, ignoring time taken by loop constructs. Now, consider a system with p processors where p > n. If n threads run in parallel, the time to execute all n steps is reduced to T. Less simple cases produce inconsistent, i.e. non-serializable outcomes.
2-dimensional case: Suppose two regions in a plane are included between two parallel lines in that plane. If every line parallel to these two lines intersects both regions in line segments of equal length, then the two regions have equal areas. 3-dimensional case: Suppose two regions in three-space (solids) are included between two parallel planes.
Parareal is a parallel algorithm from numerical analysis and used for the solution of initial value problems. [1] It was introduced in 2001 by Lions, Maday and Turinici.Since then, it has become one of the most widely studied parallel-in-time integration methods.