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Backward Euler method and Computational science

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Backward Euler method and Computational science

Backward Euler method vs. Computational science

In numerical analysis and scientific computing, the backward Euler method (or implicit Euler method) is one of the most basic numerical methods for the solution of ordinary differential equations. Computational science (also scientific computing or scientific computation (SC)) is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems.

Similarities between Backward Euler method and Computational science

Backward Euler method and Computational science have 5 things in common (in Unionpedia): Newton's method, Numerical analysis, Numerical methods for ordinary differential equations, Riemann sum, Runge–Kutta methods.

Newton's method

In numerical analysis, Newton's method (also known as the Newton–Raphson method), named after Isaac Newton and Joseph Raphson, is a method for finding successively better approximations to the roots (or zeroes) of a real-valued function.

Backward Euler method and Newton's method · Computational science and Newton's method · See more »

Numerical analysis

Numerical analysis is the study of algorithms that use numerical approximation (as opposed to general symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics).

Backward Euler method and Numerical analysis · Computational science and Numerical analysis · See more »

Numerical methods for ordinary differential equations

Numerical methods for ordinary differential equations are methods used to find numerical approximations to the solutions of ordinary differential equations (ODEs).

Backward Euler method and Numerical methods for ordinary differential equations · Computational science and Numerical methods for ordinary differential equations · See more »

Riemann sum

In mathematics, a Riemann sum is a certain kind of approximation of an integral by a finite sum.

Backward Euler method and Riemann sum · Computational science and Riemann sum · See more »

Runge–Kutta methods

In numerical analysis, the Runge–Kutta methods are a family of implicit and explicit iterative methods, which include the well-known routine called the Euler Method, used in temporal discretization for the approximate solutions of ordinary differential equations.

Backward Euler method and Runge–Kutta methods · Computational science and Runge–Kutta methods · See more »

The list above answers the following questions

Backward Euler method and Computational science Comparison

Backward Euler method has 19 relations, while Computational science has 156. As they have in common 5, the Jaccard index is 2.86% = 5 / (19 + 156).

References

This article shows the relationship between Backward Euler method and Computational science. To access each article from which the information was extracted, please visit:

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