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In complex problems it may, however, be very expensive or infeasible to determine the Hessian matrix A.
This motivates quasi-Newton methods which recursively estimate A of A−1
from the measure...
Performance Comparison of Non-linear Optimization Methods Applied to Interpretation in Magnetic Prospecting
parameters deviations Magnetic Prospecting
2009/6/18
Performance Comparison of Non-linear Optimization Methods Applied to Interpretation in Magnetic Prospecting.
Solution of Nonlinear Finite Difference Ocean Models by Optimization Methods with Sensitivity and Observational Strategy Analysis
Nonlinear Finite Difference Ocean Models Optimization Methods
2009/1/13
Dynamical models driven by “observed” forcing fields (e.g., the wind) have a true solution uncertainty owing to observational errors in the driving. This uncertainty is usually hidden from view becaus...
In this paper, we propose a class of new NCP functions and discuss their
properties.
By these function, we transfer the complementarity
problem into unconstrained optimization problem and study ...
Geometric constraint satisfaction using optimization methods
Parametric design Optimization method Variational geometry
2013/9/9
The numerical approach to solving geometric constraint problems is indispensable for building a practical CAD system. The most commonly-used numerical method is the Newton–Raphson method. It is fast, ...