Results 121 to 130 of about 1,952 (235)
Application of stochastic differential equations and real option theory in investment decision problems [PDF]
This thesis contains a discussion of four problems arising from the application of stochastic differential equations and real option theory to investment decision problems in a continuous-time framework.
Chavanasporn, Walailuck
core
The Role of Remittances and FDI for the Current Account: The Case of Cambodia
Abstract This paper develops a small open economy real‐business‐cycle model to examine the dynamics of Cambodian current account. Differing from previous studies, our model incorporates both net foreign direct investment (FDI) and remittances as additional sources of macro‐economic fluctuations. Our results reveal that these two factors, especially FDI,
VEASNA KHENG, LEI PAN, XIAODONG FAN
wiley +1 more source
ABSTRACT This study introduces the inductive differential constraint method (IDCM), a data‐informed structural regularization framework that enhances neural network predictions under data‐scarce regimes by enforcing invariant differential structures extracted from simulation data.
Rekisei Ozawa, Yoshitaka Wada
wiley +1 more source
Multi-Index Stochastic Collocation (MISC) for random elliptic PDEs [PDF]
In this work we introduce the Multi-Index Stochastic Collocation method (MISC) for computing statistics of the solution of a PDE with random data. MISC is a combination technique based on mixed differences of spatial approximations and quadratures over ...
Nobile, Fabio +3 more
core
ABSTRACT The numerical approximation of nonlinear chaotic differential systems, such as the modified stretch‐twist‐fold (STF) flow and multi‐bond chaotic attractors, presents a significant challenge due to their sensitive dependence on initial conditions and complex dynamics where analytical solutions are unattainable.
Shina Daniel Oloniiju, Anastacia Dlamini
wiley +1 more source
Stochastic Collocation With Kernel Density Estimation [PDF]
The stochastic collocation method has recently received much attention for solving partial differential equations posed with uncertainty, i.e., where coefficients in the differential operator, boundary terms or right-hand sides are random fields.
Elman, Howard C., Miller, Christopher W.
core
STOCHASTIC FINITE ELEMENT MODEL UPDATING BASED ON POLYNOMIAL CHAOTIC EXPANSION AND KL DIVERGENCE
Considering the influence of structural parameter uncertainty on response and the problem of large calculation of stochastic model updating, a stochastic finite element model updating method based on polynomial chaotic expansion and KL divergence is ...
XU ZeWei +3 more
doaj
ABSTRACT The accurate prediction of displacement and stress fields in pressure vessels is essential for the safe and reliable design of these structures, particularly when dealing with nonlinear behavior such as that of hyperelastic functionally graded materials (FGMs).
Nasser Firouzi +2 more
wiley +1 more source
The current research study proposes an efficient numerical method for obtaining an approximate solution to nonlinear stochastic integral equations implementing the collocation method and the Walsh operational matrices.
Prit Pritam Paikaray +3 more
doaj +1 more source
A Strictly Geostrophic Product of Sea‐Surface Velocities From the SWOT Fast‐Sampling Phase
Abstract While geostrophy remains the simplest and most practical balance to extract velocity information from sea‐surface height anomaly (SSHa), confusions remain within the oceanographic community to what extent this balance can be applied to altimetric observations with the launch of the Surface Water and Ocean Topography (SWOT) satellite. Given the
Takaya Uchida +6 more
wiley +1 more source

