A new inexact line search method for unconstrained optimization problems
Nonlinear SVR based on unconstrained optimization
A new gradient descent algorithm for unconstrained optimization problem is proposed.
Trust region method is a kind of efficient methods to solve the general unconstrained optimization and its special situation, the nonlinear least squares problems.
The idea of conjugate gradient path in unconstrained optimization irradiates us to use this method for solving the linear equality optimization subject to bounds on variables.
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