In this work we deal with the numerical solution of a Hamilton-Jacobi-Bellman (HJB) equation with infinitely many solutions. To compute the maximal solution - the optimal cost of the original optimal control problem - we present a complete discrete method based on the use of some finite elements and penalization techniques.
@article{M2AN_2007__41_3_461_0, author = {Di Marco, Silvia C. and Gonz\'alez, Roberto L. V.}, title = {Numerical procedure to approximate a singular optimal control problem}, journal = {ESAIM: Mathematical Modelling and Numerical Analysis - Mod\'elisation Math\'ematique et Analyse Num\'erique}, volume = {41}, year = {2007}, pages = {461-484}, doi = {10.1051/m2an:2007028}, mrnumber = {2355708}, zbl = {pre05289381}, language = {en}, url = {http://dml.mathdoc.fr/item/M2AN_2007__41_3_461_0} }
Di Marco, Silvia C.; González, Roberto L. V. Numerical procedure to approximate a singular optimal control problem. ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique, Tome 41 (2007) pp. 461-484. doi : 10.1051/m2an:2007028. http://gdmltest.u-ga.fr/item/M2AN_2007__41_3_461_0/
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