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A numerical strategy for telecommunications networks capacity planning under demand and price uncertainty.

, , and . J. Comput. Appl. Math., (2017)

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CVA Computing by PDE Models., , and . NAA, volume 10187 of Lecture Notes in Computer Science, page 15-24. (2016)PDE models for American options with counterparty risk and two stochastic factors: Mathematical analysis and numerical solution., , , and . Comput. Math. Appl., 79 (5): 1525-1542 (2020)A Monte Carlo approach to American options pricing including counterparty risk., , and . Int. J. Comput. Math., 96 (11): 2157-2176 (2019)Corrigendum to "Total value adjustment for a stochastic volatility model. A comparison with the Black-Scholes model"., and . Appl. Math. Comput., (2021)Total value adjustment for European options with two stochastic factors. Mathematical model, analysis and numerical simulation., , , and . Comput. Math. Appl., 76 (4): 725-740 (2018)A numerical strategy for telecommunications networks capacity planning under demand and price uncertainty., , and . J. Comput. Appl. Math., (2017)PDE models and numerical methods for total value adjustment in European and American options with counterparty risk., , and . Appl. Math. Comput., (2017)Total value adjustment for a stochastic volatility model. A comparison with the Black-Scholes model., and . Appl. Math. Comput., (2021)Estendendo a Estação TABA para a criação de Ambientes de Desenvolvimento de Software Orientados a Organização., , , , , , , , , and 4 other author(s). SBES, page 332-337. SBC, (2001)Augmented Intelligence enabled Deep Neural Networking (AuDNN) framework for skin cancer classification and prediction using multi-dimensional datasets on industrial IoT standards., , , , and . Microprocess. Microsystems, (March 2023)