Results 301 to 310 of about 1,497,624 (355)
Some of the next articles are maybe not open access.
Pseudoparabolic Partial Differential Equations
SIAM Journal on Mathematical Analysis, 1970This is the publisher’s final pdf. The published article is copyrighted by the Society for Industrial and Applied Mathematics and can be found at: http://epubs.siam.org/loi/sjmaah.
Showalter, R. E., Ting, T. W.
openaire +2 more sources
Fractional Order Pseudoparabolic Partial Differential Equation: Ulam–Hyers Stability
Bulletin of the Brazilian Mathematical Society, New Series, 2018Using Gronwall inequality we will investigate the Ulam-Hyers and generalized Ulam–Hyers–Rassias stabilities for the solution of a fractional order pseudoparabolic partial differential equation.
J. Vanterler +2 more
semanticscholar +1 more source
Stochastic partial differential equations
2014Second order stochastic partial differential equations are discussed from a rough path point of view. In the linear and finite-dimensional noise case we follow a Feynman–Kac approach which makes good use of concentration of measure results, as those obtained in Sect. 11.2.
Peter K. Friz, Martin Hairer
openaire +1 more source
Complex Partial Differential Equations
Journal of Mathematical ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aksoy, Ü. +3 more
openaire +1 more source
Communications in Mathematics and Statistics, 2017
We study a new algorithm for solving parabolic partial differential equations (PDEs) and backward stochastic differential equations (BSDEs) in high dimension, which is based on an analogy between the BSDE and reinforcement learning with the gradient of ...
Weinan E, Jiequn Han, Arnulf Jentzen
semanticscholar +1 more source
We study a new algorithm for solving parabolic partial differential equations (PDEs) and backward stochastic differential equations (BSDEs) in high dimension, which is based on an analogy between the BSDE and reinforcement learning with the gradient of ...
Weinan E, Jiequn Han, Arnulf Jentzen
semanticscholar +1 more source
Partial Differential Equations and Difference Equations
Proceedings of the American Mathematical Society, 1965(1. 1) Pi(alax)y = ? (1 _ i _ m) where x = (x1, * , xn), a/ax = (a/ax1, *, O/0xn). The Pi's are assumed to be homogeneous polynomials with real coefficients. The term solution is used to include the generalized solutions. A generalized solution is any function continuous on R which is a uniform limit on compact subsets of CX solutions (see [2, p. 65]).
openaire +2 more sources
Partial differential equations
2020This chapter discusses partial differential equations (PDEs). It begins by presenting elementary cases of PDEs, which highlights that PDEs give rise to 'functions of integration', in contrast to ordinary differential equations (ODEs), which have 'constants of integration'.
D.S. Sivia, J.L. Rhodes, S.G. Rawlings
openaire +1 more source
Partial Differential Equations II
2002Partial differential equations of the form $$k{\partial \over {\partial t}}u(r,t) = \nabla ^2 u(r,t)$$ (diffusion equation) and $${{\partial ^2 } \over {\partial t^2 }}u(r,t) = c^2 \nabla ^2 u(r,t)$$ (wave equation) are amenable to the use of the Laplace transform.1 Indeed, on taking the Laplace transform of the former, we get ...
openaire +1 more source

