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NeuroQ: Quantum-Inspired Brain Emulation. [PDF]
Vallverdú J, Rius G.
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Pattern Formation in Agent-Based and PDE Models for Evolutionary Games with Payoff-Driven Motion. [PDF]
Yao T, Xu C, Cooney DB.
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Backward Stochastic Differential Equations in the Plane
Potential Analysis, 2002Backward stochastic differential equations have been introduced by \textit{E. Pardoux} and \textit{S. G. Peng} [Syst. Control Lett. 14, No. 1, 55-61 (1990; Zbl 0692.93064)]. They proved existence and uniqueness of an adapted solution \((Y_t, Z_t)\) of the equation \(dY_t= -f(t;Y_t,Z_t) dt+ Z_t dW_t\), \(t\in [0,T]\), driven by a Brownian motion \(W ...
Zaïdi, N. Lanjri, Nualart, D.
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Backward Stochastic Differential Equations in Finance
Mathematical Finance, 1997We are concerned with different properties of backward stochastic differential equations and their applications to finance. These equations, first introduced by Pardoux and Peng (1990), are useful for the theory of contingent claim valuation, especially cases with constraints and for the theory of recursive utilities, introduced by Duffie and Epstein ...
El Karoui, N., Peng, S., Quenez, M. C.
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Numberical Method for Backward Stochastic Differential Equations
Let \(W\) be a \(d\)-dimensional Brownian motion. The authors develop a new method of approximating solutions \(Y\) of the multidimensional backward stochastic differential equation (BSDE) \[ dY_t= -f(t, Y_t)dt+ Z_t dW_t,\quad t\in [0,T], \] with a continuous driver \(f\) which is Lipschtz in the \(y\)-variable and independent of \(z\).
Jin Ma, , Jaime San Martín
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On Reflected Backward Stochastic Differential Equations
Calcutta Statistical Association Bulletin, 2002Some aspects of reflected backward stochastic differential equations in a half-line or in an orthant are surveyed. The roleof an optimal stopping problem in solving RBSDE in a half-line is highlighted. RBSDE in an orthant with time-space dependent oblique reflection is formulated and an outline of the ideas involved in proving the existence of a unique
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On a class of backward doubly stochastic differential equations
Applied Mathematics and Computation, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Svetlana Jankovic +2 more
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Backward stochastic differential equations and partial differential equations with quadratic growth
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Backward Stochastic Differential Equations
1999In Chapter 3, in order to derive the stochastic maximum principle as a set of necessary conditions for optimal controls, we encountered the problem of finding adapted solutions to the adjoint equations. Those are terminal value problems of (linear) stochastic differential equations involving the Ito stochastic integral. We call them backward stochastic
Jiongmin Yong, Xun Yu Zhou
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