Titlebook: Elliptic and Parabolic Problems; A Special Tribute to Catherine Bandle,Henri Berestycki,Giorgio Vergara Book 2005 Birkhäuser Basel 2005 Bo

STH

书目名称Elliptic and Parabolic Problems影响因子(影响力)




书目名称Elliptic and Parabolic Problems影响因子(影响力)学科排名




书目名称Elliptic and Parabolic Problems网络公开度




书目名称Elliptic and Parabolic Problems网络公开度学科排名




书目名称Elliptic and Parabolic Problems被引频次




书目名称Elliptic and Parabolic Problems被引频次学科排名




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书目名称Elliptic and Parabolic Problems年度引用学科排名




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书目名称Elliptic and Parabolic Problems读者反馈学科排名

Pituitary-Gland

A Decay Result for a Quasilinear Parabolic System,initial and Dirichlet boundary conditions.We show that, for suitable initial datum, the energy of the solution decays “in time” exponentially if . = 2 whereas the decay is of a polynomial order if . > 2.

耐寒

左右连贯

On the One-dimensional Parabolic Obstacle Problem with Variable Coefficients,ficients. It applies to the smooth fit principle in numerical analysis and in financial mathematics. It relies on various tools for the study of free boundary problems: blow-up method, monotonicity formulae, Liouville’s results.

Mystic

PET-scan

Rellich Relations for Mixed Boundary Elliptic Problems,is connected. Following previous works concerning the Laplace equation, we here give Rellich relations involving singularities for the Lamé system..These relations are useful in the problem of boundary stabilization of the waves equation and the elastodynamic system, respectively, when using the mul

PET-scan

Lyapunov-type Inequalities and Applications to PDE, careful analysis which involves Lyapunov-type inequalities with the .— norms of the coefficient function. After this end, combining these results with Schauder fixed point theorem, we obtain some new results about the existence and uniqueness of solutions for resonant nonlinear problems.

使厌恶

DEVIL

Geodesic Computations for Fast and Accurate Surface Remeshing and Parameterization,ework for 3D geometry modeling and processing that uses only fast geodesic computations. These techniques are gathered and extended from classical areas such as image processing or statistical perceptual learning. Using the . algorithm, we are able to recast these powerful tools in the language of m

Osmosis