AFFIX
发表于 2025-3-28 17:43:44
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Offstage
发表于 2025-3-28 18:50:47
Long Time Behaviourstems. As we do not impose any restrictions on the size of the data, the model covers fluids in a turbulent regime. Unfortunately, however, the weak solutions are not (known to be) uniquely determined by the data; therefore, the standard dynamical systems approach based on the concept of solution se
失误
发表于 2025-3-28 23:07:34
Statistical Solutions, Ergodic Hypothesis, and Turbulence precisely, we show the existence of a . statistical solution on any shift invariant compact subset of the trajectory space . that consists of entire solutions. In particular, each .-limit set generated by a global bounded solution (., ., .) will support a stationary statistical solution. Our princi
acrobat
发表于 2025-3-29 06:52:04
Systems with Prescribed Boundary Temperaturehe possibility to control the time evolution of the total energy/entropy by means of the data. The resulting . bounds along with the pressure estimates are essential for the existence theory. We have considered general Dirichlet boundary conditions for the velocity field, with the associated mass fl
Negotiate
发表于 2025-3-29 09:26:28
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COST
发表于 2025-3-29 11:33:06
Eduard Feireisl,Antonin Novotnýonal costs. Supporting software for the examples and exercises is available (but the text does not require the reader to use or understand these particular codes). The author has been active in optimization for over thirty years in algor978-1-4899-8119-6978-0-387-24149-4
窝转脊椎动物
发表于 2025-3-29 19:34:41
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马赛克
发表于 2025-3-29 22:58:32
2523-3343 ish the weak-strong uniqueness principle. Finally, Part III addresses questions of asymptotic compactness and global boundedness of trajectories and briefly considers the statistical theory of turbulence and the validity of the ergodic hypothesis.978-3-030-94792-7978-3-030-94793-4Series ISSN 2523-3343 Series E-ISSN 2523-3351
易受刺激
发表于 2025-3-30 02:08:39
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仲裁者
发表于 2025-3-30 07:43:13
Eduard Feireisl,Antonin Novotnýarity with the behaviour of iterative algorithms such as Newton’s methodfor nonlinear equations in one variable. Most of the currently popular methods for continuous nonlinear opti978-1-4419-4621-8978-0-387-78723-7Series ISSN 1931-6828 Series E-ISSN 1931-6836