April  2022, 9(2): ⅰ-ⅱ. doi: 10.3934/jcd.2022013

Preface special issue on structural dynamical systems

1. 

Istituto per le Applicazioni del Calcolo "Mauro Picone", CNR - sede di Bari, Italy

2. 

Dipartimento di Ingegneria Elettrica e dell'Informazione, Politecnico di Bari, Italy

3. 

Dipartimento di Matematica, Università degli Studi di Bari Aldo Moro, Italy

4. 

Dipartimento di Matematica e Fisica "Ennio De Giorgi", Università del Salento, Italy

Published  April 2022 Early access  April 2022

Citation: Fasma Diele, Marina Popolizio, Alessandro Pugliese, Giuseppe Vacca, Ivonne Sgura. Preface special issue on structural dynamical systems. Journal of Computational Dynamics, 2022, 9 (2) : ⅰ-ⅱ. doi: 10.3934/jcd.2022013
References:
[1]

U. M. AscherE. LarionovS. H. Sheen and D. K. Pai, Simulating deformable objects for computer animation: A numerical perspective, J. Comput. Dyn., 9 (2022), 47-68.  doi: 10.3934/jcd.2021021.

[2]

M. Berardi and F. Difonzo, A quadrature-based scheme for numerical solutions to Kirchhoff transformed Richards' equation, J. Comput. Dyn., 9 (2022), 69-84.  doi: 10.3934/jcd.2022001.

[3]

S. BlanesF. Casas and A. Escorihuela-Tomàs, Applying splitting methods with complex coefficients to the numerical integration of unitary problems, J. Comput. Dyn., 9 (2022), 85-101.  doi: 10.3934/jcd.2021022.

[4]

D. BredaD. Liessi and R. Vermiglio, Piecewise discretization of monodromy operators of delay equations on adapted meshes, J. Comput. Dyn., 9 (2022), 103-121.  doi: 10.3934/jcd.2022004.

[5]

R. D'Ambrosio and S. Di Giovacchino, Numerical preservation issues in stochastic dynamical systems by $\vartheta$-methods, J. Comput. Dyn., 9 (2022), 123-131.  doi: 10.3934/jcd.2021023.

[6]

V. O. JumaL. DehmeltS. Portet and A. Madzvamuse, A mathematical analysis of an activator-inhibitor Rho GTPase model, J. Comput. Dyn., 9 (2022), 133-158.  doi: 10.3934/jcd.2021024.

[7]

G. Kirsten, Multilinear POD-DEIM model reduction for 2D and 3D semilinear systems of differential equations, J. Comput. Dyn., 9 (2022), 159-183.  doi: 10.3934/jcd.2021025.

[8]

D. LacitignolaM. FrittelliV. Cusimano and A. De Gaetano, Pattern formation on a growing oblate spheroid. An application to adult sea urchin development, J. Comput. Dyn., 9 (2022), 185-206.  doi: 10.3934/jcd.2021027.

[9]

G. Manzini and A. Mazzia, A virtual element generalization on polygonal meshes of the Scott-Vogelius finite element method for the 2-D Stokes problem, J. Comput. Dyn., 9 (2022), 207-238.  doi: 10.3934/jcd.2021020.

[10]

E. MessinaM. Pezzella and A. Vecchio, A non-standard numerical scheme for an age-of-infection epidemic model, J. Comput. Dyn., 9 (2022), 239-252.  doi: 10.3934/jcd.2021029.

[11]

J. B. van den BergG. W. Duchesne and J.-P. Lessard, Rotation invariant patterns for a nonlinear Laplace-Beltrami equation: A Taylor-Chebyshev series approach, J. Comput. Dyn., 9 (2022), 253-278.  doi: 10.3934/jcd.2022005.

[12]

M. Viviani, An algebraic approach to the spontaneous formation of spherical jets, J. Comput. Dyn., 9 (2022), 279-298.  doi: 10.3934/jcd.2021028.

[13]

A. Zanna, Symplectic P-stable additive Runge–Kutta methods, J. Comput. Dyn., 9 (2022), 299-328.  doi: 10.3934/jcd.2021030.

show all references

References:
[1]

U. M. AscherE. LarionovS. H. Sheen and D. K. Pai, Simulating deformable objects for computer animation: A numerical perspective, J. Comput. Dyn., 9 (2022), 47-68.  doi: 10.3934/jcd.2021021.

[2]

M. Berardi and F. Difonzo, A quadrature-based scheme for numerical solutions to Kirchhoff transformed Richards' equation, J. Comput. Dyn., 9 (2022), 69-84.  doi: 10.3934/jcd.2022001.

[3]

S. BlanesF. Casas and A. Escorihuela-Tomàs, Applying splitting methods with complex coefficients to the numerical integration of unitary problems, J. Comput. Dyn., 9 (2022), 85-101.  doi: 10.3934/jcd.2021022.

[4]

D. BredaD. Liessi and R. Vermiglio, Piecewise discretization of monodromy operators of delay equations on adapted meshes, J. Comput. Dyn., 9 (2022), 103-121.  doi: 10.3934/jcd.2022004.

[5]

R. D'Ambrosio and S. Di Giovacchino, Numerical preservation issues in stochastic dynamical systems by $\vartheta$-methods, J. Comput. Dyn., 9 (2022), 123-131.  doi: 10.3934/jcd.2021023.

[6]

V. O. JumaL. DehmeltS. Portet and A. Madzvamuse, A mathematical analysis of an activator-inhibitor Rho GTPase model, J. Comput. Dyn., 9 (2022), 133-158.  doi: 10.3934/jcd.2021024.

[7]

G. Kirsten, Multilinear POD-DEIM model reduction for 2D and 3D semilinear systems of differential equations, J. Comput. Dyn., 9 (2022), 159-183.  doi: 10.3934/jcd.2021025.

[8]

D. LacitignolaM. FrittelliV. Cusimano and A. De Gaetano, Pattern formation on a growing oblate spheroid. An application to adult sea urchin development, J. Comput. Dyn., 9 (2022), 185-206.  doi: 10.3934/jcd.2021027.

[9]

G. Manzini and A. Mazzia, A virtual element generalization on polygonal meshes of the Scott-Vogelius finite element method for the 2-D Stokes problem, J. Comput. Dyn., 9 (2022), 207-238.  doi: 10.3934/jcd.2021020.

[10]

E. MessinaM. Pezzella and A. Vecchio, A non-standard numerical scheme for an age-of-infection epidemic model, J. Comput. Dyn., 9 (2022), 239-252.  doi: 10.3934/jcd.2021029.

[11]

J. B. van den BergG. W. Duchesne and J.-P. Lessard, Rotation invariant patterns for a nonlinear Laplace-Beltrami equation: A Taylor-Chebyshev series approach, J. Comput. Dyn., 9 (2022), 253-278.  doi: 10.3934/jcd.2022005.

[12]

M. Viviani, An algebraic approach to the spontaneous formation of spherical jets, J. Comput. Dyn., 9 (2022), 279-298.  doi: 10.3934/jcd.2021028.

[13]

A. Zanna, Symplectic P-stable additive Runge–Kutta methods, J. Comput. Dyn., 9 (2022), 299-328.  doi: 10.3934/jcd.2021030.

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