Adjoint Method
Identification of the Parameters of the Instantaneous Point Pollution Source in the Azov Sea Based on the Adjoint Method
... on adjoint method is solving by integration of independent series of adjoint ...the method of adjoint equations and solving of linear ...filtration method of data assimilation, ...
6
Sensitivity of the adjoint method in the inversion of tsunami source parameters
... fault model proposed by Okada (1992). Real tsunamis have heterogeneity and if data were available one could argue that it could be better to stop the inversion process in step (ii). The problem, though, is the fact that ...
11
Enhancement of the Adjoint Method by Error Control of Accelerations for Parameter Identification in Multibody Dynamics
... The adjoint method is applied in, e.g., aerodynamic shape optimization by Jameson [13], in which the gradient of an ob- jective function is determined indirectly by solving an adjoint equation which ...
6
A MapReduce-based Adjoint method for preventing brain disease
... the Adjoint method via MapReduce. The parallelized algebraic Adjoint method has been presented briefly for the first time by our previous work in Zettam et ...
17
Discrete adjoint based simultaneous analysis and design approach for conceptual aerodynamic optimization
... the adjoint approach, driven by the significant reduction in computational effort it provides, other algorithms such as non-deterministic global optimization algorithm are still commonly used in aerodynamic ...
16
Assimilating water column and satellite data for marine export production estimation
... Abstract. Recent advances in satellite retrieval methodol- ogy now allow for estimation of particular organic carbon (POC) concentration in ocean surface waters directly from satellite-based optical data. Because of the ...
16
Forward and inverse analysis of chemical transport models
... The adjoint method uses a single backward integration of the model (with the state vari- able during the backward integration being the derivative of the cost function with respect to the original forward ...
194
On Identification of Nonlinear Parameters in PDEs
... popular adjoint method and adjoint stiffness ...classical method is the most natural in that it finds Du(a)(δa) by solving the variational problem from Theorem ...the adjoint ...
81
Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods
... For the estimation of model parameters, even when its is obtained with an empirical dimension reduction (e.g. scalar multipliers), uni-modality or at least limited multi-modality can be achieved for many hydrological ...
15
Adjoint methods for car aerodynamics
... the adjoint counterparts of the govern- ing equation system, in our case the Navier-Stokes ...the adjoint method, and, as will be shown in the following, allows to develop very efficient optimisation ...
23
Continuous energy adjoint transport for photons in PHITS
... The adjoint method gives a basically identical result to the forward method at higher energies, to within statistical ...and adjoint mode for the lowest en- ergy bins ...in adjoint ...
9
An adjoint data assimilation method for optimizing frictional parameters on the afterslip area
... Although Kano et al. (2010) estimated frictional param- eters for three cell faults, they did not investigate the po- tential impact on earthquake prediction. Nevertheless, their work has motivated us to test the ...
6
Remarks on A-skew-adjoint, A-almost Similarity Equivalence and Other Operators in Hilbert Space
... A-skew adjoint operator reduces to a skew adjoint operator are also ...A-skew adjoint operators are characterized and the relationship between A-self- adjoint and A-skew adjoint ...
7
Models and Algorithms for Diffuse Optical Tomographic System
... Diffuse optical tomography (DOT) using near-infrared (NIR) light is a promising tool for noninvasive imaging of deep tissue. The approach is capable of reconstructing the quantitative optical parameters (absorption ...
8
Solving a Class of Self adjoint Differential Equations of the Fourth Order and its Algorithms in MATLAB
... [20] M. Delkhosh, Analytic Solutions of Some Self-adjoint Equations by Using Variable Change Method And it's Applications, Journal of Applied Mathematics, Volume 2012, Article ID 180806, ...
5
Development of SUBSPACE-Based Hybrid Monte Carlo-Deterministic Algorithms for Reactor Physics Calculations.
... In this section we demonstrate the sensitivity of the variance reduction results to the rank estimate. As discussed earlier, one could employ a rigorous method to estimate the exact rank of the matrix Ψ such as ...
167
Data assimilation using a hybrid ice flow model
... control method is extended to use a hybrid flow model as a forward ...an adjoint of a hybrid model and use it for inversion of ice- stream basal traction from observed surface ...the adjoint ...
13
Comparison Between Two Phase-Retrieval Methods for Electromagnetic Source Modeling
... In dosimetry studies it is important to know the field distributions from electromagnetic sources, in order to determine whether exposure safety guidelines are complied with. To avoid complicated and time consuming ...
15
A non self-adjoint model on a two dimensional noncommutative space with unbound metric
... However, despite having well defined real physical spectrum, we established further that ˜ H can not be considered as a standard quantum mechanical model, since the corre- sponding biorthonormal system is not of Riesz ...
12
An optimized treatment for algorithmic differentiation of an important glaciological fixed-point problem
... “mechanical adjoint” (Griewank and Walther, 2008). The mechanical adjoint of a fixed-point solution is in fact the iterative solution of a distinct fixed-point prob- lem, whose convergence differs from that ...
14