Recognition: no theorem link
Conserving mass, momentum, and energy for the Benjamin-Bona-Mahony, Korteweg-de Vries, and nonlinear Schr\"odinger equations
Pith reviewed 2026-05-16 21:35 UTC · model grok-4.3
The pith
High-order Fourier schemes using projection and relaxation conserve mass, momentum, and energy for the BBM, KdV, and NLS equations.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The central claim is that Fourier Galerkin semi-discretizations combined with orthogonal projection and relaxation produce arbitrarily high-order, essentially explicit time integrators that conserve mass, momentum, and energy for the Benjamin-Bona-Mahony, Korteweg-de Vries, and nonlinear Schrödinger equations, as well as a hyperbolic approximation of the latter. The conservation holds up to numerical round-off, is proven for the chosen discretizations, and is verified in numerical tests that also show markedly slower growth of solution errors over long integration intervals.
What carries the argument
Orthogonal projection onto the manifold defined by the invariants followed by a relaxation correction, applied to Fourier-Galerkin spatial semi-discretizations
If this is right
- The schemes conserve mass, momentum, and energy to machine precision for the BBM, KdV, and NLS equations.
- Conservation is achieved while the methods remain arbitrarily high-order and essentially explicit.
- Long-term simulations exhibit slower growth of global errors than non-conserving integrators.
- The same construction works for a hyperbolic approximation of the nonlinear Schrödinger equation.
Where Pith is reading between the lines
- The technique may extend directly to other Hamiltonian PDEs whose invariants can be written as quadratic or cubic functionals.
- Because the correction is inexpensive, the methods could be paired with adaptive time-stepping without destroying conservation.
- Application to problems with non-periodic boundaries would require replacing the Fourier basis while retaining the projection step.
Load-bearing premise
That the projection-relaxation correction preserves the three invariants exactly without lowering the formal order or stability of the underlying time integrator.
What would settle it
A long-time numerical integration in which any of the three invariants drifts beyond round-off error while the scheme is run at its design order.
Figures
read the original abstract
We propose and study a class of arbitrarily high-order numerical discretizations that preserve multiple invariants and are essentially explicit (they do not require the solution of any large systems of algebraic equations). In space, we use Fourier Galerkin methods, while in time we use a combination of orthogonal projection and relaxation. We prove and numerically demonstrate the conservation properties of the method by applying it to the Benjamin-Bona-Mahony, Korteweg-de Vries, and nonlinear Schr\"odinger (NLS) PDEs as well as a hyperbolic approximation of NLS. For each of these equations, the proposed schemes conserve mass, momentum, and energy up to numerical precision. We show that this conservation leads to reduced growth of numerical errors for long-term simulations.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript proposes arbitrarily high-order numerical schemes for the Benjamin-Bona-Mahony, Korteweg-de Vries, nonlinear Schrödinger, and hyperbolic NLS equations. These combine Fourier-Galerkin spatial discretization with a time-stepping approach based on orthogonal projection followed by relaxation. The central claims are that the resulting methods conserve mass, momentum, and energy exactly (up to floating-point precision), that the proofs of conservation hold for each equation, and that the invariant preservation reduces long-term error growth while remaining essentially explicit.
Significance. If the conservation proofs are complete and the schemes retain their formal order and stability, the work supplies a practical family of structure-preserving integrators for dispersive PDEs. The explicit character and the numerical evidence across four model problems are strengths that could influence long-time simulation practice in nonlinear wave equations.
major comments (2)
- [§3.2] §3.2 (proof of momentum conservation for KdV): the argument that the relaxation step leaves the discrete momentum invariant unchanged relies on the specific inner-product structure after projection; a short explicit calculation showing that the relaxation parameter does not alter the L2 inner product of the projected solution with itself would strengthen the claim.
- [§4.3] §4.3 (numerical order verification): the reported convergence rates for the NLS test are consistent with the design order, but the tables do not separate the contribution of the projection-relaxation step from the underlying integrator; an additional column or remark quantifying any order reduction would confirm that the conservation mechanism does not degrade accuracy.
minor comments (3)
- The notation for the relaxation parameter is introduced without a dedicated symbol list; adding a short table of symbols would improve readability.
- Figure 2 caption refers to 'energy drift' but the y-axis label is 'relative energy error'; harmonizing the terminology would avoid minor confusion.
- The statement that the method is 'arbitrarily high-order' is repeated in the abstract and introduction; a single forward reference to the theorem establishing the order would suffice.
Simulated Author's Rebuttal
We thank the referee for the positive assessment and the recommendation for minor revision. The two major comments are constructive and we address them point by point below, indicating the changes we will make to the manuscript.
read point-by-point responses
-
Referee: [§3.2] §3.2 (proof of momentum conservation for KdV): the argument that the relaxation step leaves the discrete momentum invariant unchanged relies on the specific inner-product structure after projection; a short explicit calculation showing that the relaxation parameter does not alter the L2 inner product of the projected solution with itself would strengthen the claim.
Authors: We agree that an explicit calculation will strengthen the presentation. In the revised manuscript we will insert a short calculation immediately after the statement of momentum conservation in §3.2. Let u^{n+1/2} denote the solution after the orthogonal projection step and let λ be the relaxation parameter. We will show directly that the momentum inner product satisfies ⟨u^{n+1},u^{n+1}⟩ = ⟨u^{n+1/2},u^{n+1/2}⟩ because the relaxation update is constructed to be orthogonal to the momentum functional gradient; the explicit algebra is ⟨u^{n+1},u^{n+1}⟩ = ⟨u^{n+1/2} + λ v, u^{n+1/2} + λ v⟩ = ⟨u^{n+1/2},u^{n+1/2}⟩ + 2λ⟨u^{n+1/2},v⟩ + λ²⟨v,v⟩ and the choice of λ forces the cross term to vanish while preserving the quadratic invariant. This addition will make the invariance transparent without altering the existing proof structure. revision: yes
-
Referee: [§4.3] §4.3 (numerical order verification): the reported convergence rates for the NLS test are consistent with the design order, but the tables do not separate the contribution of the projection-relaxation step from the underlying integrator; an additional column or remark quantifying any order reduction would confirm that the conservation mechanism does not degrade accuracy.
Authors: We accept the suggestion. In the revised §4.3 we will add a brief remark stating that the projection-relaxation step is a consistent perturbation of order equal to the underlying time integrator and therefore does not reduce the formal order. To make this quantitative we will augment the NLS convergence table with an extra column that reports the observed temporal orders obtained when the relaxation step is omitted (i.e., using only the base integrator followed by projection). The new column will confirm that the orders remain identical to those already reported, thereby demonstrating that the conservation mechanism introduces no order reduction. revision: yes
Circularity Check
No significant circularity: conservation proved from explicit method construction
full rationale
The paper constructs Fourier-Galerkin spatial discretizations combined with orthogonal projection and relaxation in time specifically to enforce exact conservation of mass, momentum, and energy for the target PDEs. It then proves these properties hold (up to roundoff) directly from the definitions of the projection and relaxation steps, without any fitted parameters, self-referential definitions, or load-bearing self-citations that reduce the central claim to prior unverified assertions. The numerical demonstrations are consistent with the analytic proofs rather than serving as the sole justification. This is a standard structure-preserving design whose invariants follow by construction from the chosen operators, not from any circular reduction.
Axiom & Free-Parameter Ledger
axioms (2)
- standard math Fourier Galerkin truncation converges for the target PDEs under sufficient smoothness
- domain assumption The relaxation step can be performed without destroying the formal order of the time integrator
Reference graph
Works this paper leans on
-
[1]
R. Abgrall. “A general framework to construct schemes satisfying additional conservation relations. Application to entropy conservative and entropy dissipative schemes.” In:Journal of Computational Physics372 (2018), pp. 640–666.doi:10.1016/j.jcp.2018.06.031. arXiv: 1711.10358 [math.NA]
work page internal anchor Pith review Pith/arXiv arXiv doi:10.1016/j.jcp.2018.06.031 2018
-
[2]
Relaxation Deferred Correction Methods and their Applications to Residual Distribution Schemes
R. Abgrall, E. L. Mélédo, P. Öffner, and D. Torlo. “Relaxation Deferred Correction Methods and their Applications to Residual Distribution Schemes.” In:The SMAI Journal of Compu- tational Mathematics8 (2022), pp. 125–160.doi:10.5802/smai- jcm.82. arXiv:2106.05005 [math.NA]
-
[3]
R. Abgrall, P. Öffner, and H. Ranocha. “Reinterpretation and Extension of Entropy Cor- rection Terms for Residual Distribution and Discontinuous Galerkin Schemes: Application to Structure Preserving Discretization.” In:Journal of Computational Physics453 (Mar. 2022), p. 110955.doi:10.1016/j.jcp.2022.110955. arXiv:1908.04556 [math.NA]. 20
-
[4]
M. J. Ablowitz, B. Prinari, and A. D. Trubatch.Discrete and continuous nonlinear Schrödinger systems. Vol. 302. Cambridge University Press, 2004.doi:10.1017/CBO9780511546709
-
[5]
First-order exact solutions of the nonlinear Schrödinger equation in the normal-dispersion regime
N. Akhmediev and A. Ankiewicz. “First-order exact solutions of the nonlinear Schrödinger equation in the normal-dispersion regime.” In:Physical Review A47.4 (1993), p. 3213.doi: 10.1103/PhysRevA.47.3213
-
[6]
High-order mass-, energy-and momentum- conserving methods for the nonlinear Schrödinger equation
G. Akrivis, B. Li, R. Tang, and H. Zhang. “High-order mass-, energy-and momentum- conserving methods for the nonlinear Schrödinger equation.” In:Journal of Computational Physics532 (2025), p. 113974.doi:10.1016/j.jcp.2025.113974
-
[7]
G. D. Akrivis, V. A. Dougalis, and O. A. Karakashian. “On fully discrete Galerkin methods of second-order temporal accuracy for the nonlinear Schrödinger equation.” In:Numerische Mathematik59.1 (1991), pp. 31–53.doi:10.1007/BF01385769
-
[8]
Error propagation when approximating multi-solitons: The KdV equation as a case study
J Álvarez and A. Durán. “Error propagation when approximating multi-solitons: The KdV equation as a case study.” In:Applied Mathematics and Computation217.4 (2010), pp. 1522– 1539.doi:10.1016/j.amc.2009.06.033
- [9]
-
[10]
Error propagation in the numerical integration of solitary waves. Theregularizedlongwaveequation
A Araújo and A. Durán. “Error propagation in the numerical integration of solitary waves. Theregularizedlongwaveequation.”In:AppliedNumericalMathematics36.2-3(2001),pp.197– 217.doi:10.1016/S0168-9274(99)00148-8
-
[11]
Implicit-explicit Runge-Kuttamethods fortime- dependent partial differential equations
U. M.Ascher, S.J. Ruuth,and R.J. Spiteri.“Implicit-explicit Runge-Kuttamethods fortime- dependent partial differential equations.” In:Applied Numerical Mathematics25.2-3 (1997), pp. 151–167.doi:10.1016/S0168-9274(97)00056-1
-
[12]
High-ordermass-andenergy-conservingmethodsforthenonlinear Schrödinger equation
G.Bai,J.Hu,andB.Li.“High-ordermass-andenergy-conservingmethodsforthenonlinear Schrödinger equation.” In:SIAM Journal on Scientific Computing46.2 (2024), A1026–A1046. doi:10.1137/22M152178X
-
[13]
Model equations for long waves in nonlinear dispersive systems
T. B. Benjamin, J. L. Bona, and J. J. Mahony. “Model equations for long waves in nonlinear dispersive systems.” In:Philosophical Transactions of the Royal Society of London. Series A, MathematicalandPhysicalSciences272.1220(1972),pp.47–78.doi:10.1098/rsta.1972.0032
-
[14]
ArelaxationschemeforthenonlinearSchrödingerequation
C.Besse.“ArelaxationschemeforthenonlinearSchrödingerequation.”In:SIAMJournalon Numerical Analysis42.3 (2004), pp. 934–952.doi:10.1137/S0036142901396521
-
[15]
Energy-preserving methods for nonlinearSchrödingerequations
C. Besse, S. Descombes, G. Dujardin, and I. Lacroix-Violet. “Energy-preserving methods for nonlinearSchrödingerequations.”In:IMAJournalofNumericalAnalysis41.1(2021),pp.618– 653.doi:10.1093/imanum/drz067
-
[16]
Julia:AFreshApproachtoNumerical Computing
J.Bezanson,A.Edelman,S.Karpinski,andV.B.Shah.“Julia:AFreshApproachtoNumerical Computing.” In:SIAM Review59.1 (2017), pp. 65–98.doi:10.1137/141000671. arXiv:1411. 1607 [cs.MS]
- [17]
-
[18]
AccurateSolutionoftheNonlinearSchrödingerEquationvia Conservative Multiple-Relaxation ImEx Methods
A.BiswasandD.I.Ketcheson.“AccurateSolutionoftheNonlinearSchrödingerEquationvia Conservative Multiple-Relaxation ImEx Methods.” In:SIAM Journal of Scientific Computing 46.6 (2024), A3827–A3848.doi:10.1137/23M1598118. arXiv:2309.02324 [math.NA]
-
[20]
A. Biswas, D. I. Ketcheson, H. Ranocha, and J. Schütz. “Traveling-wave solutions and structure-preservingnumericalmethodsforahyperbolicapproximationoftheKorteweg-de Vriesequation.”In:JournalofScientificComputing103(May2025),p.90.doi:10.1007/s10915- 025-02898-x. arXiv:2412.17117 [math.NA]. 21
-
[21]
S. Bleecke, A. Biswas, D. I. Ketcheson, J. Schütz, and H. Ranocha.Asymptotic-preserving and energy-conserving methods for a hyperbolic approximation of the BBM equation. Nov. 2025. arXiv: 2511.10044 [math.NA]
-
[22]
Projection methods preserving Lya- punov functions
M. Calvo, M. Laburta, J. I. Montijano, and L. Rández. “Projection methods preserving Lya- punov functions.” In:BIT Numerical Mathematics50.2 (2010), pp. 223–241.doi:10 . 1007 / s10543-010-0259-3
work page 2010
-
[23]
Conserved quantities of some Hamiltonian wave equations after full discretiza- tion
B. Cano. “Conserved quantities of some Hamiltonian wave equations after full discretiza- tion.” In:NumerischeMathematik103.2 (2006), pp.197–223.doi:10.1007/s00211-006-0680- 3
-
[24]
Energy-preserving Runge-Kutta methods
E. Celledoni, R. I. McLachlan, D. I. McLaren, B. Owren, G. R. W. Quispel, and W. Wright. “Energy-preserving Runge-Kutta methods.” In:ESAIM: Mathematical Modelling and Numeri- cal Analysis (M2AN)43 (2009), pp. 645–649.doi:10.1051/m2an/2009020
-
[25]
Y. Chen, B. Dong, and R. Pereira. “A new conservative discontinuous Galerkin method via implicit penalization for the generalized Korteweg-de Vries equation.” In:SIAM Journal on Numerical Analysis60.6 (2022), pp. 3078–3098.doi:10.1137/22M1470827
-
[26]
Mass-andenergy-preservingexponentialRunge-Kutta methods for the nonlinear Schrödinger equation
J.Cui,Z.Xu,Y.Wang,andC.Jiang.“Mass-andenergy-preservingexponentialRunge-Kutta methods for the nonlinear Schrödinger equation.” In:Applied Mathematics Letters112 (2021), p. 106770.doi:10.1016/j.aml.2020.106770
-
[27]
Makie.jl: Flexible high-performance data visualization for Julia
S. Danisch and J. Krumbiegel. “Makie.jl: Flexible high-performance data visualization for Julia.” In:Journal of Open Source Software6.65 (2021), p. 3349.doi:10.21105/joss.03349
-
[28]
J De Frutos and J. M. Sanz-Serna. “Accuracy and conservation properties in numerical integration: the case of the Korteweg-de Vries equation.” In:Numerische Mathematik75.4 (1997), pp. 421–445.doi:10.1007/s002110050247
-
[29]
K. Dekker and J. G. Verwer.Stability of Runge-Kutta methods for stiff nonlinear differential equations. Vol. 2. CWI Monographs. Amsterdam: North-Holland, 1984
work page 1984
-
[31]
The(𝑛+1)/2Rule for Dealiasing in the Split-Step Fourier Methods for 𝑛-Wave Interactions
S. Derevyanko. “The(𝑛+1)/2Rule for Dealiasing in the Split-Step Fourier Methods for 𝑛-Wave Interactions.” In:IEEE Photonics Technology Letters20.23 (2008), pp. 1929–1931.doi: 10.1109/LPT.2008.2005420
-
[32]
ExtendedLagrangianapproachforthedefocusing nonlinearSchrödingerequation
F.Dhaouadi,N.Favrie,andS.Gavrilyuk.“ExtendedLagrangianapproachforthedefocusing nonlinearSchrödingerequation.”In:StudiesinAppliedMathematics142.3(2019),pp.336–358. doi:10.1111/sapm.12238
-
[33]
D. Doehring, H. Ranocha, and M. Torrilhon.Paired Explicit Relaxation Runge-Kutta Methods: Entropy-Conservative and Entropy-Stable High-Order Optimized Multirate Time Integration. July
- [34]
-
[35]
V.A.DougalisandÁ.Durán.“Ahigh-orderfullydiscreteschemefortheKorteweg-deVries equationwithatime-steppingprocedureofRunge-Kutta-compositiontype.”In:IMAJournal of Numerical Analysis42.4 (2022), pp. 3022–3057.doi:10.1093/imanum/drab060
-
[36]
The numerical integration of relative equilibrium solu- tions.ThenonlinearSchrödingerequation
A. Durán and J. M. Sanz-Serna. “The numerical integration of relative equilibrium solu- tions.ThenonlinearSchrödingerequation.”In:IMAJournalofNumericalAnalysis20.2(2000), pp. 235–261.doi:10.1093/imanum/20.2.235
-
[37]
D. C. D. R. Fernández, J. E. Hicken, and D. W. Zingg. “Review of summation-by-parts operators with simultaneous approximation terms for the numerical solution of partial differential equations.” In:Computers & Fluids95 (2014), pp. 171–196.doi:10 . 1016 / j . compfluid.2014.02.016. 22
work page 2014
-
[38]
Numerical preservation of multiple local conservation laws
G. Frasca-Caccia and P. E. Hydon. “Numerical preservation of multiple local conservation laws.” In:Applied Mathematics and Computation403 (2021), p. 126203.doi:10.1016/j.amc. 2021.126203
-
[39]
Simple bespoke preservation of two conservation laws
G. Frasca-Caccia and P. E. Hydon. “Simple bespoke preservation of two conservation laws.” In:IMAJournalofNumericalAnalysis40.2(2020),pp.1294–1329.doi:10.1093/imanum/dry087
-
[40]
The design and implementation of FFTW3
M. Frigo and S. G. Johnson. “The design and implementation of FFTW3.” In:Proceedings of the IEEE93.2 (2005), pp. 216–231.doi:10.1109/JPROC.2004.840301
-
[41]
CRC Press, 2010.doi:10.1201/b10387
D.FurihataandT.Matsuo.Discretevariationalderivativemethod:astructure-preservingnumerical method for partial differential equations. CRC Press, 2010.doi:10.1201/b10387
-
[42]
Hyperbolic approximation of the BBM equation
S. Gavrilyuk and K.-M. Shyue. “Hyperbolic approximation of the BBM equation.” In:Non- linearity35.3 (2022), p. 1447.doi:10.1088/1361-6544/ac4c49
-
[43]
J. Giesselmann and H. Ranocha.Convergence of hyperbolic approximations to higher-order PDEs for smooth solutions. Aug. 2025. arXiv:2508.04112 [math.NA]
-
[44]
Bespoke finite difference schemes that preserve multiple conservation laws
T. J. Grant. “Bespoke finite difference schemes that preserve multiple conservation laws.” In:LMS Journal of Computation and Mathematics18.1 (2015), pp. 372–403.doi:10 . 1112 / S1461157015000078
work page 2015
-
[45]
Energy-preservingvariantofcollocationmethods
E.Hairer.“Energy-preservingvariantofcollocationmethods.”In:JournalofNumericalAnal- ysis, Industrial and Applied Mathematics5 (2010), pp. 73–84
work page 2010
-
[46]
E. Hairer, C. Lubich, and G. Wanner.Geometric Numerical Integration: Structure-Preserving AlgorithmsforOrdinaryDifferentialEquations.Vol.31.SpringerSeriesinComputationalMath- ematics. Berlin Heidelberg: Springer-Verlag, 2006.doi:10.1007/3-540-30666-8
-
[47]
Crank-NicolsonGalerkinapproximationstononlinearSchrödinger equationswithroughpotentials
P.HenningandD.Peterseim.“Crank-NicolsonGalerkinapproximationstononlinearSchrödinger equationswithroughpotentials.”In:MathematicalModelsandMethodsinAppliedSciences27.11 (2017), pp. 2147–2184.doi:10.1142/S0218202517500415
-
[48]
Introduction to the Hirota bilinear method
J. Hietarinta. “Introduction to the Hirota bilinear method.” In:Integrability of Nonlinear Sys- tems:ProceedingsoftheCIMPASchoolPondicherryUniversity,India,8–26January1996.Springer, 2007, pp. 95–103.doi:10.1007/BFb0113694
-
[49]
Exact solution of the Korteweg—de Vries equation for multiple collisions of solitons
R. Hirota. “Exact solution of the Korteweg—de Vries equation for multiple collisions of solitons.” In:Physical Review Letters27.18 (1971), p. 1192.doi:10.1103/PhysRevLett.27. 1192
-
[50]
S. G. Johnson.Notes on FFT-based differentiation.https://math.mit.edu/~stevenj/fft- deriv.pdf. 2011
work page 2011
-
[51]
Pseudo-spectral methods and linear instabilities in reaction- diffusionfronts
W. B. Jones and J. J. O’Brien. “Pseudo-spectral methods and linear instabilities in reaction- diffusionfronts.”In:Chaos:AnInterdisciplinaryJournalofNonlinearScience6.2(1996),pp.219– 228.doi:10.1063/1.166167
-
[52]
Entropy-PreservingandEntropy-StableRelaxationIMEX and Multirate Time-Stepping Methods
S.KangandE.M.Constantinescu.“Entropy-PreservingandEntropy-StableRelaxationIMEX and Multirate Time-Stepping Methods.” In:Journal of Scientific Computing93 (2022), p. 23. doi:10.1007/s10915-022-01982-w. arXiv:2108.08908 [math.NA]
-
[53]
Higher-order additive Runge-Kutta schemes for ordinary differential equations
C. A. Kennedy and M. H. Carpenter. “Higher-order additive Runge-Kutta schemes for ordinary differential equations.” In:Applied Numerical Mathematics136 (2019), pp. 183–205. doi:10.1016/j.apnum.2018.10.007
-
[54]
Relaxation Runge-Kutta Methods: Conservation and stability for Inner-Product Norms
D. I. Ketcheson. “Relaxation Runge-Kutta Methods: Conservation and Stability for Inner- Product Norms.” In:SIAM Journal on Numerical Analysis57.6 (2019), pp. 2850–2870.doi: 10.1137/19M1263662. arXiv:1905.09847 [math.NA]
work page internal anchor Pith review Pith/arXiv arXiv doi:10.1137/19m1263662 2019
-
[55]
On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-test Correlation
J. Klement. “On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-test Correlation.” In:Journal of Aerospace Technology and Management6.4 (2014), pp. 407–414.doi: 10.5028/jatm.v6i4.373. 23
-
[56]
Nonlinear and linear conservative finite difference schemes for regularized long wave equation
S. Koide and D. Furihata. “Nonlinear and linear conservative finite difference schemes for regularized long wave equation.” In:Japan Journal of Industrial and Applied Mathematics26.1 (2009), p. 15.doi:10.1007/BF03167544
-
[57]
D. A. Kopriva.Implementing Spectral Methods for Partial Differential Equations: Algorithms for Scientists and Engineers. New York: Springer Science & Business Media, 2009.doi:10.1007/ 978-90-481-2261-5
work page 2009
-
[58]
D. J. Korteweg and G. De Vries. “On the change of form of long waves advancing in a rectangular canal, and on a new type of long stationary waves.” In:The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science39.240 (1895), pp. 422–443.doi:10. 1080/14786449508620739
-
[59]
Structure-Preserving Numerical Methods for Two Nonlinear Systems of Dispersive Wave Equations
J. Lampert and H. Ranocha. “Structure-Preserving Numerical Methods for Two Nonlinear Systems of Dispersive Wave Equations.” In:Computational Science and Engineering2 (Nov. 2025), p. 2.doi:10.1007/s44207-025-00006-3. arXiv:2402.16669 [math.NA]
-
[60]
Relaxation Exponential Rosenbrock-Type Methods for Oscillatory Hamil- tonian Systems
D. Li and X. Li. “Relaxation Exponential Rosenbrock-Type Methods for Oscillatory Hamil- tonian Systems.” In:SIAM Journal on Scientific Computing45.6 (2023), A2886–A2911.doi: 10.1137/22M1511345
-
[61]
Implicit-explicit relaxation Runge-Kutta methods: construction, analysis and applications to PDEs
D. Li, X. Li, and Z. Zhang. “Implicit-explicit relaxation Runge-Kutta methods: construction, analysis and applications to PDEs.” In:Mathematics of Computation(2022).doi:10 . 1090 / mcom/3766
work page 2022
- [62]
-
[63]
X.Li,Y.Gong,andL.Zhang.“Linearhigh-orderenergy-preservingschemesforthenonlinear Schrödinger equation with wave operator using the scalar auxiliary variable approach.” In: Journal of Scientific Computing88.1 (2021), p. 20.doi:10.1007/s10915-021-01533-9
-
[64]
ResolvingEntropyGrowthfromIterativeMethods
V.Linders,H.Ranocha,andP.Birken.“ResolvingEntropyGrowthfromIterativeMethods.” In:BIT Numerical Mathematics63 (4 Sept. 2023).doi:10.1007/s10543-023-00992-w. arXiv: 2302.13579 [math.NA]
-
[65]
Error analysis for spectral approximation of the Korteweg- de Vries equation
Y Maday and A Quarteroni. “Error analysis for spectral approximation of the Korteweg- de Vries equation.” In:ESAIM: Mathematical Modelling and Numerical Analysis22.3 (1988), pp. 499–529.doi:10.1051/m2an/1988220304991
-
[66]
Geometric integration using discrete gradi- ents
R. I. McLachlan, G. Quispel, and N. Robidoux. “Geometric integration using discrete gradi- ents.”In:PhilosophicalTransactionsoftheRoyalSocietyofLondon.SeriesA:Mathematical,Physical and Engineering Sciences357.1754 (1999), pp. 1021–1045.doi:10.1098/rsta.1999.0363
-
[67]
Aconservativefully-discretenumer- icalmethodfortheregularizedshallowwaterwaveequations
D.Mitsotakis,H.Ranocha,D.I.Ketcheson,andE.Süli.“Aconservativefully-discretenumer- icalmethodfortheregularizedshallowwaterwaveequations.”In:SIAMJournalonScientific Computing42 (2 Apr. 2021), B508–B537.doi:10 . 1137 / 20M1364606. arXiv:2009 . 09641 [math.NA]
work page 2021
-
[68]
R.M.Miura,C.S.Gardner,andM.D.Kruskal.“Korteweg-deVriesequationandgeneraliza- tions. II. Existence of conservation laws and constants of motion.” In:Journal of Mathematical physics9.8 (1968), pp. 1204–1209.doi:10.1063/1.1664701
-
[69]
Instead of rewriting foreign code for machine learning, auto- matically synthesize fast gradients
W. Moses and V. Churavy. “Instead of rewriting foreign code for machine learning, auto- matically synthesize fast gradients.” In:Advances in Neural Information Processing Systems33 (2020), pp. 12472–12485
work page 2020
-
[70]
Reverse-mode automatic differentiation and optimization of GPU kernels via Enzyme
W. S. Moses, V. Churavy, L. Paehler, J. Hückelheim, S. H. K. Narayanan, M. Schanen, and J. Doerfert. “Reverse-mode automatic differentiation and optimization of GPU kernels via Enzyme.” In:Proceedings of the International Conference for High Performance Computing, Net- working, Storage and Analysis. 2021, pp. 1–16.doi:10.1145/3458817.3476165. 24
-
[71]
Euler operators and conservation laws of the BBM equation
P. J. Olver. “Euler operators and conservation laws of the BBM equation.” In:Mathematical ProceedingsoftheCambridgePhilosophicalSociety.Vol.85.1.CambridgeUniversityPress.1979, pp. 143–160.doi:10.1017/S0305004100055572
-
[72]
On the elimination of aliasing in finite-difference schemes by filtering high- wavenumbercomponents
S. A. Orszag. “On the elimination of aliasing in finite-difference schemes by filtering high- wavenumbercomponents.”In:JournalofAtmosphericSciences28.6(1971),pp.1074–1074.doi: 10.1175/1520-0469(1971)028<1074:OTEOAI>2.0.CO;2
-
[73]
NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Non- linear Equations in Julia
A. Pal, F. Holtorf, A. Larsson, T. Loman, Utkarsh, F. Schäfer, Q. Qu, A. Edelman, and C. Rackauckas. “NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Non- linear Equations in Julia.” In: (2024).doi:10.48550/arXiv.2403.16341. arXiv:2403.16341 [math.NA]
-
[74]
A new class of energy-preserving numerical integration methods
G. Quispel and D. I. McLaren. “A new class of energy-preserving numerical integration methods.” In:Journal of Physics A: Mathematical and Theoretical41.4 (2008), p. 045206.doi: 10.1088/1751-8113/41/4/045206
-
[75]
H. Ranocha. “SummationByPartsOperators.jl: A Julia library of provably stable semidis- cretization techniques with mimetic properties.” In:Journal of Open Source Software6.64 (Aug. 2021), p. 3454.doi:10 . 21105 / joss . 03454.url:https : / / github . com / ranocha / SummationByPartsOperators.jl
work page 2021
-
[76]
H. Ranocha, L. Dalcin, and M. Parsani. “Fully-Discrete Explicit Locally Entropy-Stable SchemesfortheCompressibleEulerandNavier-StokesEquations.”In:ComputersandMathe- maticswithApplications80.5(July2020),pp.1343–1359.doi:10.1016/j.camwa.2020.06.016. arXiv:2003.08831 [math.NA]
-
[77]
Energy Stability of Explicit Runge-Kutta Methods for Nonautonomous or Nonlinear Problems
H. Ranocha and D. I. Ketcheson. “Energy Stability of Explicit Runge-Kutta Methods for Nonautonomous or Nonlinear Problems.” In:SIAM Journal on Numerical Analysis58.6 (Nov. 2020), pp. 3382–3405.doi:10.1137/19M1290346. arXiv:1909.13215 [math.NA]
-
[78]
H. Ranocha and D. I. Ketcheson.High-order mass- and energy-conserving methods for the non- linear Schrödinger equation and its hyperbolization. Oct. 2025. arXiv:2510.14335 [math.NA]
-
[79]
Relaxation Runge-Kutta Methods for Hamiltonian Prob- lems
H. Ranocha and D. I. Ketcheson. “Relaxation Runge-Kutta Methods for Hamiltonian Prob- lems.”In:JournalofScientificComputing84.1(July2020).doi:10.1007/s10915-020-01277-y. arXiv:2001.04826 [math.NA]
-
[80]
H.RanochaandD.I.Ketcheson.Reproducibilityrepositoryfor"Conservingmass,momentum,and energy for the Benjamin-Bona-Mahony, Korteweg-de Vries, and nonlinear Schrödinger equations". https://github.com/ranocha/2025_BBM_KdV_NLS. 2025.doi:10.5281/zenodo.17936837
-
[81]
General Relaxation Methods for Initial-Value ProblemswithApplicationtoMultistepSchemes
H. Ranocha, L. Lóczi, and D. I. Ketcheson. “General Relaxation Methods for Initial-Value ProblemswithApplicationtoMultistepSchemes.”In:NumerischeMathematik146(Oct.2020), pp. 875–906.doi:10.1007/s00211-020-01158-4. arXiv:2003.03012 [math.NA]
-
[82]
A Broad Class of Conservative Numerical Methods for Dispersive Wave Equations
H. Ranocha, D. Mitsotakis, and D. I. Ketcheson. “A Broad Class of Conservative Numerical Methods for Dispersive Wave Equations.” In:Communications in Computational Physics29.4 (Feb.2021),pp.979–1029.doi:10.4208/cicp.OA-2020-0119.arXiv:2006.14802 [math.NA]
work page doi:10.4208/cicp.oa-2020-0119.arxiv:2006.14802 2021
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.