Necessity of computing large sparse Hessian matrices gave birth to many methods for their effective approximation by differences of gradients. We adopt the so-called direct methods for this problem that we faced when developing programs for nonlinear optimization. A new approach used in the frame of symmetric sequential coloring is described. Numerical results illustrate the differences between this method and the popular Powell-Toint method.
@article{104300, author = {Miroslav T\r uma}, title = {A note on direct methods for approximations of sparse Hessian matrices}, journal = {Applications of Mathematics}, volume = {33}, year = {1988}, pages = {171-176}, zbl = {0658.65058}, mrnumber = {0944781}, language = {en}, url = {http://dml.mathdoc.fr/item/104300} }
Tůma, Miroslav. A note on direct methods for approximations of sparse Hessian matrices. Applications of Mathematics, Tome 33 (1988) pp. 171-176. http://gdmltest.u-ga.fr/item/104300/
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