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Titlebook: Computer Algebra in Scientific Computing; 19th International W Vladimir P. Gerdt,Wolfram Koepf,Evgenii V. Vorozht Conference proceedings 20

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21#
發(fā)表于 2025-3-25 04:25:13 | 只看該作者
On the Asymptotic Stability of a Satellite with a Gravitational Stabilizer,. Assuming an instability of a potential system, the problem of the possibility of its stabilization up?to asymptotic stability is considered. A parametric analysis of the obtained inequalities with the help of “Mathematica” built-in?tools for symbolic-numerical modelling is carried out.
22#
發(fā)表于 2025-3-25 07:51:59 | 只看該作者
Symbolic Versus Numerical Computation and Visualization of Parameter Regions for Multistationarity ties. We demonstrate that those techniques benefit tremendously from a newly implemented graph theoretical symbolic preprocessing method. We compare computation times and quality of results of numerical continuation methods with our symbolic approach before and after the application of our preprocessing.
23#
發(fā)表于 2025-3-25 15:20:13 | 只看該作者
24#
發(fā)表于 2025-3-25 19:52:30 | 只看該作者
Sparse Interpolation, the FFT Algorithm and FIR Filters,o 1795. In this paper we develop a divide and conquer algorithm for sparse interpolation and show how it is a generalization of the FFT algorithm..In addition, when considering an analog as opposed to a discrete version of our divide and conquer algorithm, we can establish a connection with digital filter theory.
25#
發(fā)表于 2025-3-25 21:30:25 | 只看該作者
26#
發(fā)表于 2025-3-26 01:40:14 | 只看該作者
,Decomposing Polynomial Sets Simultaneously into Gr?bner Bases and Normal Triangular Sets, needed for characteristic decomposition. Experimental results of our implementations for (strong) characteristic decomposition with comparisons with available implementations of triangular decomposition are also reported.
27#
發(fā)表于 2025-3-26 06:56:47 | 只看該作者
28#
發(fā)表于 2025-3-26 12:09:41 | 只看該作者
29#
發(fā)表于 2025-3-26 14:47:07 | 只看該作者
30#
發(fā)表于 2025-3-26 18:35:12 | 只看該作者
Cross Fertilization in Software Engineering needed for characteristic decomposition. Experimental results of our implementations for (strong) characteristic decomposition with comparisons with available implementations of triangular decomposition are also reported.
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