Pith. sign in

REVIEW 4 major objections 5 minor 85 references

Libby-Fox perturbations and the semi-analytic adjoint solution for laminar viscous flow along a flat plate

T0 review · 4 major / 5 minor · reviewed 2026-08-03 · deepseek-v4-flash

Pith's one-line read This paper derives the drag-based adjoint solution for the flat-plate boundary layer as an infinite modal sum over Libby-Fox perturbation modes, yielding exact sensitivities and new spectral constraints.

desk verdict A credible and genuinely new analytic adjoint solution for the Blasius boundary layer, conditional on series convergence that is assumed rather than proved. read the letter →

arxiv 2601.16718 v3 pith:B2H2PLA7 submitted 2026-01-23 physics.flu-dyn math.AP

classification physics.flu-dynmath.AP MSC 76D1076D55 PACS 47.15.Cb
keywords adjointsolutionBlasiusboundarylayerLibby-FoxperturbationsdragsensitivityGreen'sfunctioneigenfunctionexpansionflatplateFalkner-Skanflow
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper derives an analytic adjoint solution for the two-dimensional laminar boundary layer on a flat plate, using the integrated friction drag as the objective. The solution is written as an infinite series over Libby-Fox perturbation eigenmodes of the Blasius profile, obtained by inserting the Libby-Fox Green's function into the drag functional. From this representation the authors extract exact drag sensitivities for initial-profile perturbations, plate-shape changes, and wall blowing/suction, and derive new constraints on the Libby-Fox eigenvalues and eigenfunctions. They also argue that, contrary to earlier proposals, the adjoint solution is not self-similar with a similarity variable measured from the end of the plate, and that the Adjoint Transport Convection term is not negligible.

What carries the argument

The Libby-Fox Green's function, which gives the response of the linearized Blasius perturbation equation to a point disturbance as an infinite sum over discrete perturbation eigenmodes, is the central object. When inserted into the integrated-friction drag functional, the Green's function directly yields the adjoint variable through the standard identity adjoint = linearized cost functional of the Green's function. The resulting eigenfunction expansion, together with the Sturm-Liouville structure of the adjoint eigenfunctions, carries both the analytic solution and the derived spectral constraints.

What would settle it

Compute the left-hand side of the identity sum_{k=1}^infty 1/(C_k (lambda_k - 1)^2) using an independent, highly accurate set of Libby-Fox eigenvalues and norms; if the sum does not converge to 1, the modal representation is internally inconsistent. Alternatively, substitute the analytic adjoint solution into the adjoint equation at several interior points using high-order numerical derivatives and check whether the residual vanishes beyond truncation error.

Watch

Extended reading notes

Core claim

The central claim is that the adjoint variable for the integrated friction drag obeys an explicit modal representation, Eq. (35)/(55), built from the adjoint eigenfunctions D_k, which are determined by the Libby-Fox eigenfunctions N_k and their norms C_k. The authors show that this representation satisfies the adjoint equation and boundary conditions, provided the eigenfunction expansion is sufficiently convergent, and they use it to derive two spectral identities: the sum over modes of D_k/(lambda_k - 1) equals 1, and the sum of 1/(C_k (lambda_k - 1)^2) equals 1. The paper further claims that the adjoint solution cannot be written in the simple self-similar form suggested in prior literatur

Load-bearing premise

The derivation assumes that the infinite modal series can be differentiated term by term and that it converges uniformly enough to satisfy the adjoint equation and boundary conditions; the authors state this as an assumption and their numerical check of one derived identity gives 0.9615 instead of exactly 1.

Editorial extensions

If this is right

  • The analytic adjoint solution provides a benchmark for validating numerical adjoint boundary-layer and Navier-Stokes solvers.
  • Drag sensitivities for initial profiles, plate-shape changes, and blowing/suction can be computed directly from the modal series without solving the adjoint equations numerically.
  • The derived spectral identities give new consistency constraints that can be used to check or calibrate approximate Libby-Fox eigenvalues and norms.
  • The demonstration that the adjoint solution is not self-similar with the previously proposed scaling means that adjoint boundary-layer computations should not impose such a similarity ansatz.
  • The Falkner-Skan extension shows that the Green's-function approach can produce adjoint solutions for nonzero pressure-gradient boundary layers, though convergence is slower and Gibbs oscillations appear.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If the non-self-similarity claim holds robustly, it suggests that adjoint boundary-layer solvers should treat the dual solution as genuinely two-dimensional, rather than reducing it to a single similarity profile.
  • The spectral identities could be used inversely: given a partial set of accurate eigenvalues and norms, the constraint sums could estimate missing high-order spectral data or flag errors in existing datasets.
  • The same Green's-function route may be applied to other objective functionals, such as heat transfer or species concentration, whose perturbation eigenproblems are second order and simpler than the Libby-Fox problem.
  • The polynomial growth of the adjoint eigenfunctions at large eta, contrasted with the exponential decay of the primal eigenfunctions, may open an alternative path to computing eigenvalues, though the authors note the ill-conditioning that currently hampers it.
Share X Bluesky LinkedIn Reddit HN

Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

4 major / 5 minor

Summary. The paper derives an analytic adjoint solution for the linearized two-dimensional boundary-layer equations around Blasius flow, using the Libby-Fox Green's function. The solution is represented as an infinite eigenfunction series (Eqs. 35 and 55), which is then used to examine the Adjoint Transport Convection term, to compute sensitivities for initial-value perturbations, shape changes and blowing/suction, and to argue against the self-similar adjoint solution proposed by Kühl et al. An extension to Falkner-Skan flows is also outlined. The analytic solution is compared with finite-volume numerical adjoint solutions, showing good agreement.

Significance. If the representation is rigorously established, the paper provides a valuable benchmark for adjoint boundary-layer solvers and a new tool for deriving sum rules and identities for Libby-Fox eigenvalues and eigenfunctions. The explicit sensitivity formulas for initial-value and blowing/suction problems are concrete, falsifiable predictions, and the numerical comparisons in Figs. 3 and 4 are a genuine strength. The paper also offers a useful, cautionary message about the ATC term in a simplified setting. The main value depends on closing the convergence and completeness gaps in the infinite-series construction.

major comments (4)
  1. [§4, Eqs. (33)-(35); Appendix C] The central construction differentiates the Libby-Fox Green's-function series (31) twice termwise inside the drag integral and then treats the resulting eigenfunction series as the adjoint solution. This interchange is load-bearing: without uniform convergence of the twice-differentiated series, Eq. (35) is not guaranteed to satisfy the adjoint equation (22) or the boundary conditions (23), even if each individual mode does. Appendix C explicitly says 'We will also assume that the sum ... allows termwise differentiation,' but no proof or quantified convergence criterion is supplied. The numerical agreement with finite-volume adjoint solvers is reassuring but does not substitute for the missing analytic justification.
  2. [§5.1.2, Eq. (57); §6.1, Eq. (69)] Identity (57) is a necessary consequence of the completeness/normalization used to prove D0=1 (Eq. 53) and the far-field boundary condition (44). The paper's own spectral data—Brown's asymptotic eigenvalues for n>20 and the fitted norm correlation (67) for n>50—give 0.9615 for the N=2800 partial sum, not 1. The authors attribute the discrepancy to truncation or approximate high-order data, but the consequence is that the boundary-condition verification in §5 is not independently confirmed. The claim that Eq. (35) obeys the boundary conditions should be either backed by a convergence proof for Eq. (57) with controlled truncation error, or stated as conditional on the spectral data/beyond the numerical approximation.
  3. [§5.2, Eqs. (60)-(64), Table 1] The paper argues against the self-similar adjoint solution of Kühl et al. using a coefficient comparison in the eigenfunction expansion of F0,η. The table shows large discrepancies, and direct numerical evaluation in §6.2 also shows no similarity in η or η̂. However, the coefficient comparison assumes the expansion (62) converges and can be compared termwise. The authors later concede 'We have not been able to prove or disprove this fact' for other similarity variables. The abstract and conclusions state more strongly that 'the adjoint solution cannot be put in the simple self-similar form'; the wording should reflect the strength of the evidence, which is numerical and coefficient-based rather than a rigorous no-similarity theorem.
  4. [§8, Eqs. (118)-(120), Figs. 6-7] The Falkner-Skan extension is presented as 'the correct analytic adjoint solution' (Eq. 118), but the authors themselves state that verifying the adjoint equation and boundary conditions is 'very hard' and that the D0 boundary properties have not been proved. For β=0.5, the 20-mode solution in Fig. 6 shows poor agreement and strong oscillations, and the 100-mode result uses fitted correlations (123)-(124). This is acknowledged as not the real analytic solution, yet the text still labels Eq. (118) as correct. The claims in this section should be explicitly conditional on convergence and on the accuracy of the fitted high-order spectral data.
minor comments (5)
  1. [§2, Eq. (12)] Brown's asymptotic formula is garbled by typesetting: '0.076 12( 1) 0.2705...' should be written with proper parentheses and operators. Please correct the equation.
  2. [Abstract and §7.1] The term is called 'Adjoint Transport Convection (ATC)' in §7.1 but 'Adjoint Transverse Convective (ATC)' in the conclusions. Please unify the terminology.
  3. [Figs. 3 and 4] The captions describe comparisons but do not identify which line corresponds to which solver or state the mesh resolution for the compressible case. Adding a legend and explicit numerical parameters would improve reproducibility.
  4. [§5.1.1, Eq. (53)] The step 'Eq. (53) now follows immediately from Eq. (54)' omits the convergence justification for expanding the constant function 1 in the adjoint eigenfunctions. A sentence pointing to Appendix C or a separate proof would help.
  5. [Throughout] There are numerous typographical issues, including missing spaces (e.g., 'Blasius solution . The adjoint solu tion'), inconsistent notation for ℘, and reference formatting errors (e.g., 'J. Math.Industry'). A careful copyedit is needed.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: the adjoint solution is constructed from an externally known Libby-Fox Green's function and cross-validated against independent Libby-Fox calculations; the convergence assumptions are correctness risks, not circular inputs.

full rationale

The central construction (Eq. 35) is obtained by inserting the Libby-Fox Green's function (31), taken from the external literature, into the standard adjoint/Green's identity (29). The expansion coefficients and eigenfunctions are not fitted to the drag sensitivities or to the adjoint solution; they come from the known primal eigenvalue problem. The internal identities (53), (57), (96), and (103) are consequences of Sturm-Liouville orthogonality and are used as checks, not as inputs. The numerical discrepancy in (69) (0.9615 vs 1) tests the approximate high-order eigenvalues/norms and is reported openly; it does not mean the derived constraint was assumed. Sensitivities for the initial-value problem, blowing/suction, and shape changes are compared with Libby-Fox first-order solutions (eqs. 81/84, 92/95, 99/102), providing independent benchmarks. The explicit assumption of termwise differentiation in Appendix C and the inability to prove D0 for Falkner-Skan are unproved technical hypotheses, which are correctness/convergence concerns rather than circular reasoning. The self-citations [45] and [68] are methodological references, not load-bearing justifications of the central result.

Assumptions & free parameters 3 free parameters · 5 assumptions · 0 invented entities

No new physical entities are introduced. The main external inputs are the Libby-Fox Green's function and the associated eigenvalue/eigenfunction data. The paper adds fitted correlations for high-order norms and eigenvalues, and assumes analyticity/termwise-differentiability of the eigenfunction series to verify boundary conditions.

free parameters (3)
  • Norm correlation constants for n>50 = C_n ≈ 1.443 n^{-0.672}
    Fitted in §6.1 to numerically computed normalizing constants to extend the eigenfunction sum to 2800 terms.
  • Falkner-Skan eigenvalue correlation coefficients = 3.320, 2.002, 0.2875, 0.075
    Eq. (123), fitted to the eigenvalues reported by Chen-Libby and used to extend the Falkner-Skan expansion to 100 terms.
  • Falkner-Skan norm correlation constants = 1.05, 1.01
    Eq. (124), fitted to computed norms and used to continue the Falkner-Skan eigenfunction expansion.
assumptions (5)
  • standard math Sturm-Liouville completeness and orthogonality of the Libby-Fox eigenfunctions (eq. 9).
    Needed for the eigenfunction expansions (26) and (48) and for the orthogonality-based identities (47)-(59).
  • ad hoc to paper Termwise differentiation and summation of the infinite eigenfunction/Dirichlet series are permitted.
    Explicitly assumed in Appendix C ('We will also assume that the sum ... allows termwise differentiation') and used to derive the heat-equation bound and boundary-condition verification.
  • domain assumption The Libby-Fox Green's function (31) is exact and complete for linearized perturbations to the Blasius solution.
    The entire adjoint solution (35)/(55) is obtained by evaluating the drag functional on this Green's function; any error in G propagates directly into the central claim.
  • domain assumption Blasius boundary-layer approximation is the relevant base flow (steady, incompressible, 2D, zero pressure gradient).
    The paper itself lists as a limitation its exclusive focus on simplified, steady, laminar flows.
  • ad hoc to paper For n>20, Brown's asymptotic eigenvalues and fitted norm correlations are accurate enough to render the 2800-term solution.
    The plotted numerical solution relies on these inputs; the identity sum gives 0.9615 instead of 1, indicating residual error from these approximations.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Libby-Fox perturbations and the semi-analytic adjoint solution for laminar viscous flow along a flat plate." pith.science (2026). https://pith.science/paper/B2H2PLA7

@misc{pith2026260116718,
  author       = {Pith},
  title        = {Pith review of: Libby-Fox perturbations and the semi-analytic adjoint solution for laminar viscous flow along a flat plate},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/B2H2PLA7}},
  note         = {Machine review of arXiv:2601.16718}
}
read the original abstract

The properties of the solution to the adjoint two-dimensional boundary layer (BL) equations on a flat plate are investigated from the viewpoint of Libby-Fox theory, which describes the algebraic perturbations to the Blasius boundary layer. The adjoint solution is obtained from the Green's function of the perturbation equation as a sum over the infinite perturbation modes of the Blasius solution. The explicit representation of the adjoint solution allows us to derive constraints on the eigenvalues and eigenfunctions, explicitly compute the Adjoint Transport Convection (ATC) term and evaluate flow sensitivities for shape design, initial-value perturbations, and active flow control. The extension of the analysis to the case with non-zero pressure gradient, corresponding to the Falkner-Skan solution, is also briefly discussed.

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

85 extracted references · 50 canonical work pages

  1. [1]

    Van Dyke, Perturbation Methods in Fluid Mechanics, Stanford, CA: The Parabolic Press, 1975

    M. Van Dyke, Perturbation Methods in Fluid Mechanics, Stanford, CA: The Parabolic Press, 1975

  2. [2]

    On asymptotic expansion in the theory of laminar boundary layer,

    K. Stewartson, "On asymptotic expansion in the theory of laminar boundary layer," J. Math. Phys., vol. 36, pp. 137-191, 1957. DOI: 10.1002/sapm1957361173

  3. [3]

    Some perturbation solutions in laminar boundary-layer theory. Part 1. The momentum equation,

    P. A. Libby and H. Fox, "Some perturbation solutions in laminar boundary-layer theory. Part 1. The momentum equation," Journal of Fluid Mechanics, vol. 17, no. 3, pp. 433-449, 1963. DOI: 10.1017/S0022112063001439

  4. [4]

    Some remarks on ‘Perturbation solutions in laminar boundary theory’,

    H. Fox and S. Chen, "Some remarks on ‘Perturbation solutions in laminar boundary theory’," J. Fluid Mech., vol. 25, no. 1, pp. 199-205, 1966. DOI: 10.1017/S0022112066000132

  5. [5]

    Perturbation solutions and asymptotic solutions in boundary layer theory,

    L. Ting and S. Chen, "Perturbation solutions and asymptotic solutions in boundary layer theory," J Eng Math, vol. 1, p. 327–340, 1967. DOI: 10.1007/BF01540515

  6. [6]

    On an Irregular Sturm-Liouville Problem in Boundary Layer Theory,

    W. P. Kotorynski, "On an Irregular Sturm-Liouville Problem in Boundary Layer Theory," SIAM Journal on Applied Mathematics, vol. 16, no. 6, pp. 1132-1140, 1968. DOI: 10.1137/0116094

  7. [7]

    On the Computation of Eigenvalues Arising out of Perturbations of the Blasius Profile,

    G. Wilks and J. S. Bramley, "On the Computation of Eigenvalues Arising out of Perturbations of the Blasius Profile," J. Comput Phys., vol. 24, pp. 303 -319, 1977. DOI: 10.1016/0021 - 9991(77)90039-0

  8. [8]

    On the Evaluation of Eigenvalues Ass ociated with Exponential Decay,

    G. Wilks, "On the Evaluation of Eigenvalues Ass ociated with Exponential Decay," J. Math. Anal. Appl., vol. 71, pp. 263-270, 1979. DOI: 10.1016/0022-247X(79)90229-4

Show all 85 references
  1. [9]

    Eigenvalues and norms arising in perturbations about the Blasius solution,

    P. Libby, "Eigenvalues and norms arising in perturbations about the Blasius solution," AIAA J., vol. 3, no. 11, pp. 2164-2165, 1965. DOI: 10.2514/3.3337

  2. [10]

    Approximate Solution of Boundary Layer Heat Transfer Eigenvalue Problems with Applications,

    N. H. Kemp, "Approximate Solution of Boundary Layer Heat Transfer Eigenvalue Problems with Applications," Avco-Everett Laboratory Research Report 337, January 1970

  3. [11]

    An Asymptotic Expansion for the Eigenvalu es Arising in Perturbations About the Blasius Solution,

    S. Brown, "An Asymptotic Expansion for the Eigenvalu es Arising in Perturbations About the Blasius Solution," Appl. Sci. Res., vol. 19, pp. 111-119, 1968. DOI: 10.1007/BF00383916

  4. [12]

    Some perturbation solutions in laminar boundary layer theory Part 2. The energy equation.,

    H. Fox and P. Libby, "Some perturbation solutions in laminar boundary layer theory Part 2. The energy equation.," Journal of Fluid Mechanics, vol. 19, no. 3, pp. 433 -451, 1964. DOI:10.1017/S0022112064000830

  5. [13]

    A Perturbation Solution for the Laminar Boundary Layer on a Continuous Moving Surface,

    S. Chen, "A Perturbation Solution for the Laminar Boundary Layer on a Continuous Moving Surface," Journal of Engineering Math., vol. 5, pp. 219-226, 1971. DOI: 10.1007/BF01535108

  6. [14]

    Laminar Boundary Layer with Uniform Injection,

    P. A. Libby and K. Chen, "Laminar Boundary Layer with Uniform Injection," Physics of Fluids, vol. 8, no. 4, p. 568–574, 1965. DOI: 10.1063/1.1761270

  7. [15]

    Laminar boundary layers with chemical reactions,

    H. Fox, "Laminar boundary layers with chemical reactions," AIAA 1965 -130. 2nd Aerospace Sciences Meeting. January 1965. DOI: 10.2514/6.1965-130

  8. [16]

    Distribution of a Trace Element in a Boundary Layer with Mass Transfer,

    N. H. Kemp and J. Wallace, "Distribution of a Trace Element in a Boundary Layer with Mass Transfer," AIAA Journal, vol. 8, no. 1, pp. 81-86, 1970. DOI: 10.2514/3.5609

  9. [17]

    Boundary layers with small departures from the Falkner -Skan profile,

    K. Chen and P. Libby, "Boundary layers with small departures from the Falkner -Skan profile," Journal of Fluid Mechanics, vol. 33, no. 2, pp. 273 -282, 1968. DOI:10.1017/S0022112068001291

  10. [18]

    Application of Quasi -Linearization to an Eigenvalue Problem Arising in Boundary-Layer Theory,

    P. Libby and K. Chen, "Application of Quasi -Linearization to an Eigenvalue Problem Arising in Boundary-Layer Theory," J. Comput. Physics, vol. 2, pp. 356-362, 1968. DOI: 10.1016/0021- 9991(68)90042-9

  11. [19]

    A Review Of Some Perturba tion Methods In Boundary Layer Theory,

    P. Libby, "A Review Of Some Perturba tion Methods In Boundary Layer Theory," Int. J. Eng. Sci., vol. 8, pp. 289-306, 1970. DOI: 10.1016/0020-7225(70)90059-5

  12. [20]

    Reynolds-number-independent instability of the boundary layer over a flat surface,

    P. Luchini, "Reynolds-number-independent instability of the boundary layer over a flat surface," Journal of Fluid Mechanics, vol. 327, pp. 101-115, 1996. DOI: 10.1017/S0022112096008476

  13. [21]

    Reynolds-number-independent instability of the boundary layer over a flat surface: optimal perturbations,

    P. Luchini, "Reynolds-number-independent instability of the boundary layer over a flat surface: optimal perturbations," J. Fluid Mech., vol. 404, no. 1, p. 289 –309, 2000. DOI: 10.1017/S0022112099007259

  14. [22]

    Modal description of internal optimal streaks,

    M. Higuera and J. M. Vega, "Modal description of internal optimal streaks," J. Fluid Mech., vol. 626, p. 21–31, 2009. DOI: 10.1017/S0022112009006284

  15. [23]

    Localised streak solutions for a Blasius boundary layer,

    R. Hewitt and P. Duck, "Localised streak solutions for a Blasius boundary layer," Journal of Fluid Mechanics, vol. 849, pp. 885-901, 2018. DOI:10.1017/jfm.2018.440

  16. [24]

    Buoyancy -driven algebraic (localised) boundary - layerDisturbances,

    S. M. Edwards and R. E. Hewitt, "Buoyancy -driven algebraic (localised) boundary - layerDisturbances," J Eng Math, vol. 132:11, 2022. DOI: 10.1007/s10665-021-10190-8

  17. [25]

    A review of the adjoint-state method for computing the gradient of a functional with geophysical applications,

    R.-E. Plessix, "A review of the adjoint-state method for computing the gradient of a functional with geophysical applications," Geophysical Journal International, vol. 167, no. 2, p. 495–503,

  18. [26]

    Adjoint Equations in Stability Analysis,

    P. Luchini and A. Bottaro, "Adjoint Equations in Stability Analysis," Ann. Rev. Fluid Mech., vol. 46, pp. 493-517, 2014. DOI: 10.1146/annurev-fluid-010313-141253

  19. [27]

    Effective adjoint approaches for computational fluid dynamics,

    G. K. Kenway, C. A. Mader, P. He and J. R. Martins, "Effective adjoint approaches for computational fluid dynamics," Progress in Aerospace Sciences, vol. 110, p. 100542, 2019. DOI: 10.1016/j.paerosci.2019.05.002

  20. [28]

    Jameson, Computational Aerodynam ics, Cambridge University Press, 2022

    A. Jameson, Computational Aerodynam ics, Cambridge University Press, 2022. DOI: 10.1017/9781108943345

  21. [29]

    Martins and A

    J. Martins and A. Ning, Engineering Design Optimization, Cambridge: Cambridge University Press, 2021. DOI: 10.1017/9781108980647

  22. [30]

    Adjoint and Its roles in Sci ences, Engineering, and Mathematics: A Tutorial,

    T. Bui-Thanh, "Adjoint and Its roles in Sci ences, Engineering, and Mathematics: A Tutorial,"

  23. [31]

    Numerical Sensitivity Analysis for Aerodynamic optimization: A survey of approaches,

    J. Peter and R. P. Dwight, "Numerical Sensitivity Analysis for Aerodynamic optimization: A survey of approaches," Comput. Fluids, vol. 39, no. 10, pp. 373 -391, 2010. DOI: 10.1016/j.compfluid.2009.09.013

  24. [32]

    On Optimum Design in Fluid Mechanics,

    O. Pironneau, "On Optimum Design in Fluid Mechanics," Journal of Fluid Mechanics, vol. 64, p. 97–110, 1974. DOI: 10.1017/S0022112074002023

  25. [33]

    Aerodynamic Design via Control Theory,

    A. Jameson, "Aerodynamic Design via Control Theory," J. Sci. Comp., vol. 3, no. 3, pp. 233 - 260, 1988. DOI: 10.1007/BF01061285

  26. [34]

    An Introduction to the Adjoint Approach to Design,

    M. Giles and N. Pierce, "An Introduction to the Adjoint Approach to Design," Flow, Turbulence and Combustion, vol. 65, no. 3, pp. 393-415, 2000. DOI: 10.1023/A:1011430410075

  27. [35]

    Lions, Optimal Control of Systems Governed by Partial Differential Equations, Springer - Verlag, 1971

    J.-L. Lions, Optimal Control of Systems Governed by Partial Differential Equations, Springer - Verlag, 1971

  28. [36]

    Adjoint -based machine learning for active flow control,

    X. Liu and J. F. MacArt, "Adjoint -based machine learning for active flow control," Phys. Rev. Fluids, Vols. 9, 013901, 2024. DOI: 10.1103/PhysRevFluids.9.013901

  29. [37]

    Review of Output -Based Error Estimation and Mesh Adaptation in Computational Fluid Dynamics,

    K. Fidkowski and D. Darmofal, "Review of Output -Based Error Estimation and Mesh Adaptation in Computational Fluid Dynamics," AIAA Journal, vol. 49, no. 4, pp. 673-694, 2011. DOI: 10.2514/1.J050073

  30. [38]

    A Review of Mesh Adaptation Technology Applied to Computational Fluid Dynamics,

    G. Vivarelli, N. Qin and S. Shahpar, "A Review of Mesh Adaptation Technology Applied to Computational Fluid Dynamics," Fluids, Vols. 10(5), 129, 2025. DOI: 10.3390/fluids10050129

  31. [39]

    M achine learning with data assimilation and uncertainty quantification for dynamical systems: A review,

    S. B. Cheng, C. Quilodrán -Casas, S. Ouala, A. Farchi, C. Liu, P. Tandeo, R. Fablet, D. Lucor, B. Iooss, J. Brajard, D. H. Xiao, T. Janjic, W. P. Ding, Y. K. Guo, A. Carrassi, M. Bocquet and R. Arcucci, "M achine learning with data assimilation and uncertainty quantification f...

  32. [40]

    Modal Analysis of Fluid Flows: An Overview,

    K. Taira, S. L. Brunton, S. T. M. Dawson, C. W. Row ley, T. Colonius, B. J. McKeon, O. T. Schmidt, S. Gordeyev, V. Theofilis and L. S. Ukeiley, "Modal Analysis of Fluid Flows: An Overview," AIAA Journal, vol. 55, no. 12, pp. 4013-4041, 2017. DOI: 10.2514/1.J056060

  33. [41]

    Adjoint Methods for Uncertainty Quantification,

    D. J. Mavriplis, "Adjoint Methods for Uncertainty Quantification," Adjoint methods and their application in Computational Fluid Dynamics, chapter 3. 38th Advanced Computational Fluid Dynamics von Karman Institute Lecture Series and Events. Von Karman Insti tute for Fluid Dynam...

  34. [42]

    Aerodynamic Robust Design Research Using Adjoint-Based Optimization under Operating Uncertainties,

    Y. Ma, J. Du, T. Yang, Y. Shi, L. Wang and W. Wang, "Aerodynamic Robust Design Research Using Adjoint-Based Optimization under Operating Uncertainties," Aerospace, vol. 10, 831,

  35. [43]

    Adjoint Equations in CFD: Duality, Boundary Conditions and Solution Behavior,

    M. B. Giles and N. A. Pierce, "Adjoint Equations in CFD: Duality, Boundary Conditions and Solution Behavior," AIAA Paper 97–1850, 1997. DOI: 10.2514/6.1997-1850

  36. [44]

    Analytic adjoint solutions for the quasi -one-dimensional Euler equations,

    M. B. Giles and N. A. Pierce, "Analytic adjoint solutions for the quasi -one-dimensional Euler equations," J. Fluid Mechanics, vol. 426, pp. 327 -345, 2001. DOI: 10.1017/S0022112000002366

  37. [45]

    DOI: 10.3390/aerospace10100831

  38. [46]

    Shape Optimization for Delay of Laminar –Turbulent Transition,

    O. Amoignon, J. Pralits, A. Hanifi, M. Berggren and D. Henningson, "Shape Optimization for Delay of Laminar –Turbulent Transition," AIAA J., vol. 44, no. 5, pp. 1009 -1024, 2006. DOI: 10.2514/1.12431

  39. [47]

    Adjoint -based optimization of steady suction for disturbance control in incompressible flows,

    J. Pralits, A. Hanifi and D. Henningson, "Adjoint -based optimization of steady suction for disturbance control in incompressible flows," J. Fluid Mech., vol. 467, pp. 129-161, 2002. DOI: 10.1017/S0022112002001301

  40. [48]

    Analytic Adjoint Solutions for the 2D Incompressible Euler Equations Using the Green’s Function Approach,

    C. Lozano and J. Ponsin, "Analytic Adjoint Solutions for the 2D Incompressible Euler Equations Using the Green’s Function Approach," Journal of Fluid Mechanics, vol. 943, A22, 2022. DOI: 10.1017/jfm.2022.415

  41. [49]

    Sensitivity Analysis Using Adjoint Parabolized Stability Equations for Compressible Flows,

    J. Pralits, C. Airiau, A . Hanifi and D. Henningson, "Sensitivity Analysis Using Adjoint Parabolized Stability Equations for Compressible Flows," Flow, Turbulence and Combustion, vol. 65, p. 321–346, 2000. DOI: 10.1023/A:1011434805046

  42. [50]

    A methodology for optimal laminar flow control: Application to the damping of Tollmien–Schlichting waves in a boundary layer,

    C. Airiau, A. Bottaro, S. Walther and D. Legendre, "A methodology for optimal laminar flow control: Application to the damping of Tollmien–Schlichting waves in a boundary layer," Phys. Fluids, vol. 15, no. 5, p. 1131–1145, 2003. DOI: 10.1063/1.1564605

  43. [51]

    Adjoint based optimization and control of a separated boundary-layer flow,

    P.-Y. Passaggia and U. Ehrenstein, "Adjoint based optimization and control of a separated boundary-layer flow," European Journal of Mechanics - B/Fluids, vol. 41, pp. 169-177, 2013. DOI: 10.1016/j.euromechflu.2013.01.006

  44. [52]

    Parabolized stability equations,

    T. Herbert, "Parabolized stability equations," Annu. Rev. Fluid Mech., vol. 29, no. 1, p. 245 – 283, 1997. DOI: 10.1146/annurev.fluid.29.1.245

  45. [53]

    The effect of base flow variati on on flow stability,

    A. Bottaro, P. Corbett and P. Luchini, "The effect of base flow variati on on flow stability," J. Fluid Mech., vol. 476, pp. 293-302, 2003. DOI:10.1017/S002211200200318X

  46. [54]

    The continuous adjoint method as a guide for the design of flow control systems based on jets,

    M. Vasile, E. Minisci, D. Quagliarella, A. Zymaris, D. Papadimitriou, E. Papoutsis‐Kiachagias, K. Giannakoglou and C. Othmer, "The continuous adjoint method as a guide for the design of flow control systems based on jets," Engineering Computations, vol. 30, no. 4, p. 494 –520,

  47. [55]

    Görtler vortices: a backward -in-time approach to the receptivity problem,

    P. Luchini and A. Bottaro, "Görtler vortices: a backward -in-time approach to the receptivity problem," J. Fluid Mech., vol. 363, p. 1–23, 1998. DOI: 10.1017/S0022112098008970

  48. [56]

    Adjoint systems and their role in the receptivity problem for boundary layers,

    D. Hill, "Adjoint systems and their role in the receptivity problem for boundary layers," Journal of Fluid Mechanics, vol. 292, pp. 183-204, 1995. DOI: 10.1017/S0022112095001480

  49. [57]

    An adjoint approach for computing the recep tivity of the rotating disc boundary layer to surface roughness,

    C. Thomas and C. Davies, "An adjoint approach for computing the recep tivity of the rotating disc boundary layer to surface roughness," Journal of Fluid Mechanics, Vols. 926, A16, 2021. DOI:10.1017/jfm.2021.717

  50. [58]

    A theoretical approach for analyzing the restabilization of wakes,

    D. Hill, "A theoretical approach for analyzing the restabilization of wakes," AIAA Paper 1992-

  51. [59]

    Non -parallel acoustic receptivity of a Blasius boundary layer using an adjoint approach,

    C. Airiau, "Non -parallel acoustic receptivity of a Blasius boundary layer using an adjoint approach," Flow, Turbul. Combust., vol. 65, no. 3 -4, p. 347 –367, 2000. DOI: 10.1023/A:1011472831831

  52. [60]

    Structural sensitivity of the first instability of the cylinder wake,

    F. Giannetti and P. Luchini, "Structural sensitivity of the first instability of the cylinder wake," Journal of Fluid Mechanics, vol. 581, pp. 167-197, 2007. DOI:10.1017/S0022112007005654

  53. [61]

    Structural sensitivity of the secondary instability in the wake of a circular cylinder,

    F. Giannetti, S. Camarri and P. Luchini, "Structural sensitivity of the secondary instability in the wake of a circular cylinder," Journal of Fluid Mechanics, vol. 651, p. 319 –337, 2010. DOI:10.1017/S0022112009993946

  54. [62]

    Optimal disturbances and bypass transition in boundary layers,

    P. Andersson, M. Berggren and D. S. Henningson, "Optimal disturbances and bypass transition in boundary layers," Physics of Fluids, vol. 11, no. 1, p. 134 –150, 1999. https://doi.org/10.1063/1.869908

  55. [63]

    Boundary layer sensitivity and receptivity,

    C. Airiau, S. Walther and A. Bottaro, "Boundary layer sensitivity and receptivity," Comptes Rendus Mécanique, vol. 330, no. 4, pp. 259 -265, 2002. DOI: 10.1016/S1631-0721(02)01450- X

  56. [64]

    An adjoint -based methodology for calculating manufacturing tolerances for natural laminar flow airfoils susceptible to smooth surface waviness,

    M. Moniripiri, P. Brito, A. Cavalieri, N. Sêcco and A. Hanifi, "An adjoint -based methodology for calculating manufacturing tolerances for natural laminar flow airfoils susceptible to smooth surface waviness," Theor. Comput. Fluid Dyn., vol. 38, p. 15–37, 2024. DOI: 10.1007/s0...

  57. [65]

    Continuous adjoint complement to the Blasius Equation,

    N. Kühl, P. M. Müller and T. Rung, "Continuous adjoint complement to the Blasius Equation," Phys. Fluids, vol. 33, p. 033608, 2021. DOI: 10.1063/5.0037779

  58. [66]

    Nishikawa, edu2d -ccfv-euler-explct, May 202 0

    H. Nishikawa, edu2d -ccfv-euler-explct, May 202 0. DOI: 10.13140/RG.2.2.14816.84482. [Accessed 01/12/2025]

  59. [67]

    January 6-9, 1992

    30th AIAA Aerospace Sciences Meeting and Exhibit, Reno,NV,USA. January 6-9, 1992. DOI: 10.2514/6.1992-67

  60. [68]

    Parabolic resolvent modes for streaky structures in transitional and turbulent boundary layers,

    K. Sasaki, A. V. G. Cavalieri, A. Hanifi and D. S. Henningson, "Parabolic resolvent modes for streaky structures in transitional and turbulent boundary layers," Phys. Rev. Fluids, Vols. 7, 104611, 2022. DOI: 10.1103/PhysRevFluids.7.104611

  61. [69]

    Systematic Continuous Adjoint Approach to Viscous Aerodynamic Design on Unstructured Grids,

    C. Castro, C. Lozano, F. Palacios and E. Zuazua, "Systematic Continuous Adjoint Approach to Viscous Aerodynamic Design on Unstructured Grids," AIAA J., vol. 45, no. 9, pp. 2125 -2139,

  62. [70]

    Implicit Solution of the Navier -Stokes Equation on Unstructured Meshes,

    J. M. Weiss, J. P. Maruszewski and A. S. Wayne, "Implicit Solution of the Navier -Stokes Equation on Unstructured Meshes," AIAA Paper 1997 -2103, 13th Computational Fluid Dynamics Conference. Snowmass Village, CO, U.S.A, 29 June - 2 July 1997. DOI: 10.2514/6.1997-2103

  63. [71]

    On the Boundary Computation of Flow Sensitivities,

    O. Soto and R. Lohner, "On the Boundary Computation of Flow Sensitivities," AIAA 2004-112. 42nd AIAA Aerospace Sciences Meeting and Exhibit. Reno, NV, USA, January 5-8, 2004. DOI: 10.2514/6.2004-112

  64. [72]

    Beyond Interface Gradient: A General Principle for Constructing Diffusion Schemes,

    H. Nishikawa, "Beyond Interface Gradient: A General Principle for Constructing Diffusion Schemes," AIAA paper 2010 –5093, 40th AIAA Fluid Dynamics Conference and Exhibit, Chicago, IL, USA, 28 June - 1 July 2010. DOI: 10.2514/6.2010-5093

  65. [73]

    Remarks on the Numerical Solution of the Adjoint Quasi -One- Dimensional Euler Equations,

    C. Lozano and J. Ponsin, "Remarks on the Numerical Solution of the Adjoint Quasi -One- Dimensional Euler Equations," Int. J. Numer. Meth. Fluids, vol. 69, no. 5, pp. 966 -982, June

  66. [74]

    Spatial stability of the new solutions of the Falkner -Skan equation,

    K. Chen and P. Libby, "Spatial stability of the new solutions of the Falkner -Skan equation," AIAA Journal, vol. 6, no. 6, pp. 1168-1169, 1968. DOI: 10.2514/3.4698

  67. [75]

    A Sturm –Liouville Problem Associated with the Falkner –Skan Equation,

    W. P. Kotorynski, "A Sturm –Liouville Problem Associated with the Falkner –Skan Equation," SIAM Journal on Applied Mathematics, vol. 17, no. 5, pp. 992 -995, 1969. DOI: 10.1137/0117087

  68. [76]

    An iteration method to solve the boundary layer flow past a flat plate,

    K. Kusukawa, S. Suwa and T. Nakagawa, "An iteration method to solve the boundary layer flow past a flat plate," J. Appl. Math. Phys., vol. 2, p. 35–40, 2014. DOI: 10.4236/jamp.2014.24005

  69. [77]

    Serre, A Course in Arithmetic, New York: Springer-Verlag, 1973

    P. Serre, A Course in Arithmetic, New York: Springer-Verlag, 1973

  70. [78]

    Evans, Partial Differential Equations

    L. Evans, Partial Differential Equations. 2nd Edition. Graduate Studies in Mathematics, vol. 19, Providence, Rhode Island, USA: American Mathematical Society, 2010. DOI: 10.1090/gsm/019

  71. [79]

    Adjoint methods for car aerodynamics,

    C. Othmer, "Adjoint methods for car aerodynamics," J.Math.Industry, vol. 4, no. 6, 2014. DOI: 10.1186/2190-5983-4-6

  72. [80]

    White, Viscous Fluid Flow, 2nd Edition, Boston: McGraw-Hill, 1991

    F. White, Viscous Fluid Flow, 2nd Edition, Boston: McGraw-Hill, 1991

  73. [2006]

    DOI: 10.1111/j.1365-246X.2006.02

  74. [2007]

    doi: 10.2514/1.24859

  75. [2012]

    Doi: 10.1002/fld.2621

  76. [2013]

    DOI: 10.1108/02644401311329343

  77. [2023]

    arXiv:2306.09917 [math.FA] https://doi.org/10.48550/arXiv.2306.09917

Pith tools

Reviewed August 3, 2026 · model on record in the stance chip above.