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In computer vision, speeded up robust features (SURF) is a local feature detector and descriptor, with patented applications. It can be used for tasks such as object recognition , image registration , classification , or 3D reconstruction .
In computational complexity theory, a speedup theorem is a theorem that for any algorithm (of a certain class) demonstrates the existence of a more efficient algorithm solving the same problem.
In applied mathematics Strang splitting is a numerical method for solving differential equations that are decomposable into a sum of differential operators. It is named after Gilbert Strang.
To speed up the iteration even more, one can use the Newton's method of root-finding. [14] ... MATLAB code for Rice/Rician distribution (PDF, mean and variance, ...
matrix-free speed-up: Yes No Yes Used language: Native language: Primarily C++ and Java C++ C++ C++ Fortran (2008 standard) C++ C++ Matlab / Octave Bindings to language: Full API for Java and Matlab (the latter via add-on product) PyMFEM (Python) Python, Scilab or Matlab Python bindings to some functionality Python Other: Predefined equations:
The improvement is typically linear and its speed is determined by the condition number of the system matrix : the larger () is, the slower the improvement. [ 8 ]
More technically, it is the improvement in speed of execution of a task executed on two similar architectures with different resources. The notion of speedup was established by Amdahl's law, which was particularly focused on parallel processing. However, speedup can be used more generally to show the effect on performance after any resource ...
MATLAB (an abbreviation of "MATrix LABoratory" [22]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.