Parameter Estimation of Spring-Damping System using Unconstrained Optimization by the Quasi-Newton Methods using Line Search Techniques
نویسندگان
چکیده
منابع مشابه
On the Behavior of Damped Quasi-Newton Methods for Unconstrained Optimization
We consider a family of damped quasi-Newton methods for solving unconstrained optimization problems. This family resembles that of Broyden with line searches, except that the change in gradients is replaced by a certain hybrid vector before updating the current Hessian approximation. This damped technique modifies the Hessian approximations so that they are maintained sufficiently positive defi...
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Many methods for solving minimization problems are variants of Newton method, which requires the specification of the Hessian matrix of second derivatives. QuasiNewton methods are intended for the situation where the Hessian is expensive or difficult to calculate. Quasi-Newton methods use only first derivatives to build an approximate Hessian over a number of iterations. This approximation is u...
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ژورنال
عنوان ژورنال: Advanced Journal of Graduate Research
سال: 2018
ISSN: 2456-7108
DOI: 10.21467/ajgr.5.1.1-7