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Projection solutions of Frobenius Perron operator equations

Projection solutions of Frobenius Perron operator equations

In this paper, we propose the first order and second order piecewise polynomial approximation schemes for the computation of fixed points of Frobenius-Perron operators, based on the Gale[r]

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Discrete Pseudo Almost Periodic Solutions for Some Difference Equations

Discrete Pseudo Almost Periodic Solutions for Some Difference Equations

This work is organized as follows. In Section , we consider geometrical properties of the shift operator in general case and, we deal with the properties of shift operator the spaces of almost periodic and on ergodic sequences. In Section 3, we a consider the existence and uniqueness solutions of some difference equations using polynomial functions. In the last section, we deal with the application of the previous results to some second order differential equation with a piecewise constant argument.

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Wavelet Bases Made of Piecewise Polynomial Functions: Theory and Applications

Wavelet Bases Made of Piecewise Polynomial Functions: Theory and Applications

Finally the following conclusions can be made. In order to manipulate correctly operators and images it is sufficient to construct the wavelet bases with piecewise polynomial functions made of polynomials of very low degree. Really for the images seems to be adequate choo- sing piecewise polynomial functions made of polynomi- als of degree zero. As already observed this might be due to the way we calculate the wavelet coefficients and to the fact that the operators and the images are represented by piecewise constant functions. Moreover it seems to be very promising the idea of increasing the number of va- nishing moments keeping low the degree of the polyno- mials used. Actually the bases that have a large number of extra vanishing moments, that is those constructed with the second criterion proposed in Section 2, show better compression and reconstruction properties, and in general work better than the wavelet bases constructed with the first criterion proposed in Section 2.
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A Piecewise Approximate Method for Solving Second Order Fuzzy Differential Equations Under Generalized ‎Differentiability‎

A Piecewise Approximate Method for Solving Second Order Fuzzy Differential Equations Under Generalized ‎Differentiability‎

In this paper a new approach for solving sec- ond order fuzzy differential equations under gen- eralized differentiability was proposed. We used piecewise fuzzy polynomial of degree 4 based on the Taylor expansion for approximating solutions of second order fuzzy differential equations. Also, we can develop this method for N th-order fuzzy differential equations under generalized deriva- tives.

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On spectral accuracy of quadrature formulae based on piecewise polynomial interpolation

On spectral accuracy of quadrature formulae based on piecewise polynomial interpolation

Abstract. It is well-known that the trapezoidal rule, while being only second-order accurate in general, improves to spectral accuracy if applied to the integration of a smooth periodic function over an entire period on a uniform grid. More precisely, for the function that has a square integrable derivative of order r the convergence rate is o N −(r−1/2)

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Theoretical models for prediction of mechanical behaviour of the PP/EPDM nanocomposites fabricated by friction stir process

Theoretical models for prediction of mechanical behaviour of the PP/EPDM nanocomposites fabricated by friction stir process

I n this study, thermoplastic polyolefin elastomeric (TPO) nanocomposites were fabricated by friction stir processing. The effect of different pin geometries on clay dispersion and mechanical properties of the TPO nanocomposite reinforced with 3% wt nanoclay has been first investigated. The optimum pin geometry namely threaded cylindrical pin was then used to fabricate the nanocomposites containing 3, 5 and 7 wt% nanoclay. The results showed that increase in the clay content increased the tensile strength and tensile modulus of the nanocomposite from 15.8 to 22.76 MPa and 568 to 751 MPa, respectively. The experimental stress – strain curves of nanocomposites were compared with eight constitutive models including Mooney – Rivlin, the second-order polynomial, Neo – Hookean, Yeoh, Arruda – Boyce, Van der Waals and the third- and sixth-order Ogden. The comparisons showed that there was an agreement between the experimental data and the sixth-order Ogden model. Three micromechanical models Halpin – Tsai, inverse rule of mixture and linear rule of mixture were applied to investigate the Young’s modulus of nanocomposites. Because of the significant difference between the Young’s modulus obtained from these models and the ones obtained from experimental data, a modifying factor was used to improve the theoretical predictions obtained from the models. Polyolefins J (2017) 4: 99-109
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Advancing the AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards’ Equation

Advancing the AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards’ Equation

Equation (21), a closed-form analytical solution to Richards’ equation, is proposed as an alternative to the second order polynomial that is currently employed in the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) root zone soil moisture retrieval algorithm. It has been demonstrated that the second order polynomial is a special case of Eq. (21) limited to P = 1. Evaluation of Eq. (21) based on both numerical simulations and measured data revealed that it exhibits greater flexibility than the currently applied second order polynomial. Therefore, application of Eq. (21) is recommended for more accurate retrieval of root zone moisture profiles from P-band radar remote sensing data. The results presented for two AirMOSS flights in 2015 demonstrate a reduction of the retrieval error with the new method. In conclusion it should be noted that while the retrieval error and computational inversion time have improved for the two presented cases, a more extensive study is required to investigate the applicability, performance, and advantage of this method for AirMOSS root-zone soil moisture retrievals.
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Mid-knot cubic non-polynomial spline for a system of second-order boundary value problems

Mid-knot cubic non-polynomial spline for a system of second-order boundary value problems

There are substantial interests on the numerical treatment of the problem (1.1). Noor and Khalifa [19] have used a collocation method with cubic B-splines as basis functions to solve (1.1), while the well-known Numerov method and finite difference schemes based on the central difference have been employed in [22]. Thereafter, Al-Said et al. [5] show that cubic spline method gives numerical solutions that are more accurate than that com- puted by quintic spline and finite difference techniques. The numerical results of [5, 19, 22] indicate first-order accuracy for these methods. In [4], a two-stage method is devel- oped where a finite difference scheme is first employed to obtain the numerical solutions
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IIR Digital Filter Design Using Convex Optimization

IIR Digital Filter Design Using Convex Optimization

In general, IIR filter design methods can be classified into two groups: direct and indirect ways. It should be mentioned here that direct design methods are often referred to as those methods that are carried out directly in the domain and indirect design methods are generally considered to be those methods based on analog filters [2]. In this dissertation, however, we adopt somewhat different definitions for direct and indirect design methods. In the direct design strategy, the best approximation to a given ideal frequency response is found without any intermediate step. In the indirect design strategy, a design problem is first transformed to an FIR filter design problem. Then, model reduction techniques can be deployed to achieve an IIR digital filter, which can best approximate the FIR digital filter. As presented before, in general, FIR filter design problems can be equivalently cast as convex optimization problems and then efficiently solved. Therefore, the performances of indirect design methods are mainly determined by the second step, i.e., FIR approximation by IIR digital filters. In this dissertation, we mainly study IIR filter designs using the direct design strategy. But it should be mentioned that the proposed design methods can be straightforwardly applied in indirect IIR filter designs by replacing the desired frequency response by a well-defined FIR frequency response and the frequency bands of interest Ω by the whole frequency band [0, ].
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diakonikolas.pdf

diakonikolas.pdf

Exploit piecewise polynomial approximation for structured model estimation.. Algorithmic Framework for Distribution Estimation: Leads to fast & robust estimators?[r]

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Process optimisation of vacuum drying of onion slices

Process optimisation of vacuum drying of onion slices

For all combinations of the operational param- eters studied, the final moisture content was within the acceptable range of dehydrated onion (< 6–7%) reported in the literature (Sarsavadia 1999) and was observed within the range of 2.03–3.73% d.b. The colour values in terms of the optical in- dex (OI < 90) and rehydration ratio (RR > 2.5) were well within the permissible levels as recom- mended by Adoga (2005) and Ranganna (2005), respectively. Flavour content i.e. TC was within the range reported in the literature (3.61 μmol/g to 4.97 μmol/g dried sample based on 20.2% to 10.4% grade of comminution Resemann et al. 2004). The generalised second order polynomial equation was fitted to the experimental data to approximate the function Y k as follows:
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A Solution of Second Kind Volterra Integral Equations Using Third Order Non-Polynomial Spline Function

Sarah H. Harbi| Mohammed Ali Murad| Saba N. Majeed

A Solution of Second Kind Volterra Integral Equations Using Third Order Non-Polynomial Spline Function Sarah H. Harbi| Mohammed Ali Murad| Saba N. Majeed

in(2012)[5] studied a new approach to find the numerical solution of VIE's by using Bernsteins Approximation. Many researchers have used non- polynomial spline functions approach to find the solution of differential equations. Ramadan , M.A. El-Danaf , T. and Abdaal F. E.I. in(2007) [6] Presented an application of the non- polynomial spline function to find the solution of the burgers equation. Zarebnia M. Hoshyar , M. and Sedahti, M. in(2011)[7] Presented a numerical solution based on non-polynomial cubic spline function is used for finding the solution of boundary value problem.
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On variational and symplectic time integrators for Hamiltonian systems

On variational and symplectic time integrators for Hamiltonian systems

Combining the discrete variational principle with the derived numerical flux, we obtain a unified approach to construct time integrators for (non-)autonomous Hamiltonian systems. We have derived both well-known and novel symplectic time stepping schemes of first, second and third order accuracy. An extensive analysis for the discretizations is provided, including a linear stability analysis and an investigation of the symplectic nature of the schemes. The novel third order scheme we have developed is shown to have improved dispersion properties. Furthermore, within this approach we derive and test time stepping schemes for non-autonomous Hamiltonian systems, such as forced and damped oscillators. We study the approximation of forcing and damping terms considering the discrete versions of certain integrals.
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Augmented Strategies for 3D Elliptic Interface Problems with Piecewise Constant Discontinuous Coefficients.

Augmented Strategies for 3D Elliptic Interface Problems with Piecewise Constant Discontinuous Coefficients.

Table 5.2 above shows the results of a grid refinement study with errors in the infinity norm and other information. Again, we can see that the method still has second order accuracy when we use the embedding technique. Furthermore, in this Table we can see that the number of iterations (only 5) is independent of the mesh size as in the case of two space dimension. The CPU time does not increase much.

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A Computational Method with MAPLE for a Piecewise Polynomial Approximation to the Trigonometric Functions

A Computational Method with MAPLE for a Piecewise Polynomial Approximation to the Trigonometric Functions

The paper is organized as follows. In Section 2, we construct a complete MAPLE procedure by blocks of commands in the order that we can modify them easily. These blocks whose their own purpose will be clearly explained may be useful to design other procedures. Section 3, the longest section, is for exploration of the obtained results from the output of the procedure. The last part of Section 3 is destined for the detailed discussion on how to find a desired estimate p for the best L 2 -approximation p

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On the Stability of Piecewise Genetic Regulatory Networks

On the Stability of Piecewise Genetic Regulatory Networks

In switched GRNs, as mentioned in the preliminaries, the partitions of the state and transitions between modes are not characterized as a priori. In such case, the systems is under arbitrary switching, and a sufficient condition for the stability of the switched GRNs exists by introducing the common polynomial Lyapunov functions.

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Comparative Physiochemical Analysis Of Phenylalanine, Tryptophan & Methionine in Aqueous Solutions Of Nitrates In terms of Linear, Exponential, Second Order Polynomial and Third Order polynomial Using Volumetric Approach

Comparative Physiochemical Analysis Of Phenylalanine, Tryptophan & Methionine in Aqueous Solutions Of Nitrates In terms of Linear, Exponential, Second Order Polynomial and Third Order polynomial Using Volumetric Approach

All authors contributed in process of manuscript writing. We confirm that the manuscript has been submitted solely to this journal and is not published, in press, or submitted elsewhere. All authors agree to the terms and conditions. We confirm that all the research meets the ethical guide- lines, including adherence to the legal requirements of the study country. VD(Vaneet Dhir) designed, performed the experimental work and wrote the manuscript. RPSG(RP Singh Grewal) contributed for investigating comparative trend in terms of different mathematical operations and interpretations in terms of polynomial approach. All au- thors read and approved the final manuscript.
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Orthogonality is superiority in piecewise polynomial signal segmentation and denoising

Orthogonality is superiority in piecewise polynomial signal segmentation and denoising

The method described in this article belongs to the “explicit” type of models. We work with noisy one- dimensional signals, and our underlying model assumes that individual segments can be well approximated by polynomials. The number of segments is supposed to be much lower than the number of signal samples—this natural assumption at the same time justifies the use of sparsity measures involved in segment identification. The model and algorithm presented for 1D in this article can be easily generalized to a higher dimension. For exam- ple, images are commonly modeled as piecewise smooth 2D-functions [27–31].
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Automated continuous verification for numerical simulation

Automated continuous verification for numerical simulation

Since the development of the computer, numerical simula- tion has become an integral part of many scientific and tech- nical enterprises. As computational hardware becomes ever cheaper, numerical simulation becomes more attractive rel- ative to experimentation. Much attention is paid to the de- velopment of ever more efficient and powerful algorithms to solve previously intractable problems (Trefethen, 2008). However, in order to be useful, the user of a computational model must have confidence that the results of the numeri- cal simulation are an accurate proxy for reality. A rigorous software quality assurance system is usually a requirement for any deployment to industry, and should be a requirement for any scientific use of a model. Catastrophic accidents such as the Sleipner platform accident, in which an offshore plat- form collapsed due to failures in finite element modelling,
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Polynomial spline collocation methods for second order Volterra integrodifferential equations

Polynomial spline collocation methods for second order Volterra integrodifferential equations

the value 2 m− 1, we always have p ≤ m . Moreover, since the local order is required to be greater than or equal to the global order (m +d + 1 ) , it is necessary that d+ 2 ≤ p . The following corollary deals with some important special cases and its proof relies on the above theorem.

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