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Behaviour of finite-size floating particles in free-surface turbulence. [PDF]
Salmon HS +3 more
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Analyzing Riemann-Liouville constraints in second-order Lagrangian fractional electrodynamic models. [PDF]
Alawaideh YM, Al-Khamiseh BM, Adu IK.
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Free Boundary Hamiltonian Stationary Lagrangian Discs in C 2. [PDF]
Gaia F.
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Improving the robustness of the immersed interface method through regularized velocity reconstruction. [PDF]
Sun Q, Kolahdouz EM, Griffith BE.
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Tracing Environmental DNA Transport in a Large Lake with Synthetic DNA Microparticles and Hydrodynamic Modeling. [PDF]
Li Z +11 more
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Minimum Spacetime Length and the Thermodynamics of Spacetime. [PDF]
Rossi V, Cacciatori SL, Pesci A.
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Some Lagrangians for systems without a Lagrangian
Physica Scripta, 2011We demonstrate how to construct many different Lagrangians for two famous examples that were deemed by Douglas (1941 Trans. Am. Math. Soc. 50 71–128) not to have a Lagrangian. Following Bateman's dictum (1931 Phys. Rev. 38 815–9), we determine different sets of equations that are compatible with those of Douglas and derivable from a variational ...
M.C. Nucci, P.G.L. Leach
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Management Science, 1970
There is a dual program linked with every nonlinear program. The dual objective function is called the Lagrangian; it is defined in terms of the original problem. This note presents a characterization of the Lagrangian subgradients under general conditions. The theorem follows from a result of Danskin [1] that can be used (see [2]) to characterize the
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There is a dual program linked with every nonlinear program. The dual objective function is called the Lagrangian; it is defined in terms of the original problem. This note presents a characterization of the Lagrangian subgradients under general conditions. The theorem follows from a result of Danskin [1] that can be used (see [2]) to characterize the
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Lagrangian-Perfect Hypergraphs
Annals of Combinatorics, 2023For an \(r\)-graph \((r\ge2)\) \(G=(V,E)\) with \(V=[n]\), and \(\vec x=(x_1,\dots,x_n)\in[0,\infty)^n\), \(\lambda(G,\vec x)=\sum\limits_{e\in E}\prod\limits_{i\in e}x_i\); the Lagrangian is \(\lambda(G) =\max\{\lambda(G,\vec x):\vec x\in\Delta\}\), where \(\Delta=\{\vec x=(x_1,x_2,\dots,x_n)\in[0,1]^n:x_1+x_2+\dots+x_n=1\}\); the Lagrangian density \(
Yan, Zilong, Peng, Yuejian
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