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To tackle this problem, a new method of piecewise linearization is proposed.
When the variation range of random factors is too large, a new method of piecewise linearization is put forward to achieve a better fitting precision of probability distribution.
The new method of piecewise linearization introduced by this paper can effectively deal with random factors with a large range of variability, making the proposed method broadly applicable.
For the whole domain of [−3.14, 3.14], the method of piecewise lines can also satisfy the fitting accuracy with p = 10 and q = 11.
This paper presents a multiphase level set method of piecewise constants for shape and topology optimization of multi-material piezoelectric actuators with in-plane motion.
A new method of piecewise linearization is put forward to achieve a more precise fit to the probability distribution when random factors with large variation range appear in the coupled system.
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We propose a local method of constructing piecewise G1 Bézier patches to span an irregular curve network, without modifying the given curves at odd- and 4-valent node points.
The expansion of this method to piecewise polynomial representation is shown to be straightforward.
In this paper, an effective method for identification of piecewise affine system is proposed.
This paper presents a controller design method for piecewise discrete time linear systems based on a piecewise smooth Lyapunov function.
We propose an algorithm to solve a system of partial differential equations of the type u1 x, t) = F x, t, u, ux, uxx, uxxx, uxxxx) in 1 + 1 dimensions using the method of lines with piecewise ninth-order Hermite polynomials, where u and F are N-dimensional vectors.
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