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Abstract. We consider sensitivity functionals and Lagrange multiplier method for solving finite dimensional convex optimization problem.An analysis based on this property is also applied for ...
In this work, we present a robust optimization method that is suited for unconstrained problems with a nonconvex cost function as well as for problems based on simulations, such as large partial ...
Conjugate Gradient Methods in Unconstrained Optimization Publication Trend The graph below shows the total number of publications each year in Conjugate Gradient Methods in Unconstrained Optimization.