Exemplos de uso de Numerical integration em Inglês e suas traduções para o Português
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Romberg method for numerical integration.
See numerical integration for more on quadrature rules.
He was the first person to use the term numerical integration.
Numerical integration of non-linear semi-implicit square systems via geometric control….
This fact can also be used for numerical integration.
As in the previous example, the numerical integration rule of Gauss-Lobatto was chosen because it is more accurate.
This series can also be transformed into an integral by means of the Abel-Plana formula andevaluated using techniques for numerical integration.
Includes a Newton solver, numerical integration, and more.
Numerical integration for stresses and internal forces used 3x3 Gauss integration points for concrete and 2x2 for the reinforcement.
Derive and apply a number of numerical integration methods.
The numerical integration is done adaptively by subdividing the integration region into sub-intervals until the desired accuracy is achieved.
This would be required in parallelizing numerical integration of functions and differential equations, as a common example.
Through an averaging procedure and successive mathieu transformations, the order of dynamical system is reduced andthe final system is solved by numerical integration.
In this work, we pursue a review of numerical integration methods mainly focusing on the finite elements method.
We use a semi-analytical method combining dynamical systems techniques(e.g. poincaré section andlocal analysis based on hartman-grobman theorem) and numerical integration using matlab.
Note that this method requires computing a separate numerical integration for each value of frequency for which a value of the Fourier transform is desired.
The numerical integration proceeds by selecting the shape of the lower subsection(B*, ho, and z) and the total channel depth ht, to comprise lower and upper subsections.
Stochastic integrals can rarely be solved in analytic form,making stochastic numerical integration an important topic in all uses of stochastic integrals.
For this reason,one usually performs numerical integration by splitting{\displaystyle} into smaller subintervals, applying a Newton-Cotes rule on each subinterval, and adding up the results.
When obtaining the vector of the internal elemental force,the equivalent bending stiffness is determined for each Gauss point in the numerical integration using the Gaussian Quadrature method.
The name is in analogy with quadrature meaning Numerical integration where weighted sums are used in methods such as Simpson's method or the Trapezium rule.
Secondly, the mathematical equations that govern the phenomena understudy are developed and the solutions to the governing equations from computational techniques and numerical integration schemes are presented.
The spatial equations were discretized using a finite-difference approach and numerical integration by the explicit method was employed to handle the time dependence.
The numerical integration approach works on a much broader class of functions than the analytic approach, because it yields results for functions that do not have closed form Fourier transform integrals.
The numerical integration rule of Gauss-Lobatto was chosen because it is more accurate that the Simpson's rule and because it is recommended when the integration points are not evenly distributed.
However, long MD simulations are mathematically ill-conditioned,generating cumulative errors in numerical integration that can be minimized with proper selection of algorithms and parameters, but not eliminated entirely.
After obtaining these equations, the stability of the vehicle was studied through the analytical method, by the linearization and analysis of its eigenvalues,and numerical, through numerical integration by the runge-kutta fourth order method.
It also presents the study by fourth order runge-kutta numerical integration for the construction of the parameter space of the largest lyapunov exponent and bifurcation diagram.
In this work, transient stability constraints are incorporated into the optimal power flow(opf)problem by approximating differential equations constraints by a set of equivalent algebraic equations originated from numerical integration procedures.