Computational techniques are fast, easier, reliable and efficient way or method for solving mathematical, scientific, engineering, geometrical, geographical and statistical problems via the aid of computers. Hence, the processes of resolving problems in computational technique are most time step-wise..
What is computation with example?
Addition: Addition is a basic example of computation. It involves adding two or more numbers together to get a sum. For example, if we add 2 and 3, we get 5. This computation can be performed manually using a calculator or pen and paper, or it can be done using a computer program..
What is the method of computation?
Computational methods are computer-based methods used to numerically solve mathematical models that describe physical phenomena..
Computational methods for the electromagnetic analysis of large-scale and complex systems are essential for our ability to design and characterize practical devices and systems.
May 12, 2018Definition:Algorithm: a computational method which terminates in finitely many steps for all x∈I.DefinitionComputational Sequence
A computational method is an ordered quadruple (Q,I,Ω,f) in which: Q is a set representing the states of the computation. I is a set representing the input to the computation. Ω is a set representing the output from the computation. f:Q→Q is a mapping representing the computational rule.
Muller's method is a root-finding algorithm, a numerical method for solving equations of the form f(x) = 0. It was first presented by David E. Muller in 1956.
Computation method def
In computer vision and image processing
In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu> , is used to perform automatic image thresholding. In the simplest form, the algorithm returns a single intensity threshold that separate pixels into two classes, foreground and background. This threshold is determined by minimizing intra-class intensity variance, or equivalently, by maximizing inter-class variance. Otsu's method is a one-dimensional discrete analogue of Fisher's Discriminant Analysis, is related to Jenks optimization method, and is equivalent to a globally optimal k-means performed on the intensity histogram. The extension to multi-level thresholding was described in the original paper, and computationally efficient implementations have since been proposed.
In numerical analysis
Root-finding method
In numerical analysis, the secant method is a root-finding algorithm that uses a succession of roots of secant lines to better approximate a root of a function f. The secant method can be thought of as a finite-difference approximation of Newton's method. However, the secant method predates Newton's method by over 3000 years.
