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Simulating deformable objects for computer animation: A numerical perspective
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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 |
References:
[1] |
U. M. Ascher, E. Larionov, S. 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. Blanes, F. 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. Breda, D. 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. Juma, L. Dehmelt, S. 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. Lacitignola, M. Frittelli, V. 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. Messina, M. 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 Berg, G. 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. Ascher, E. Larionov, S. 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. Blanes, F. 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. Breda, D. 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. Juma, L. Dehmelt, S. 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. Lacitignola, M. Frittelli, V. 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. Messina, M. 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 Berg, G. 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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