@InCollection{TorresLuzCamp:2015:MuCoAl,
               author = "Torres, Reynier Hernandez and Luz, Eduardo F{\'a}vero Pacheco da 
                         and Campos Velho, Haroldo Fraga de",
                title = "Multi-Particle Collision Algorithm for Solving an Inverse 
                         Radiative Problem",
            booktitle = "Integral Methods in Science and Engineering: Theoretical and 
                         Computational Advances",
            publisher = "Birkh{\"a}use",
                 year = "2015",
               editor = "Constanda, C. and Kirsch, A.",
                pages = "309--319",
              address = "New York (USA)",
             keywords = "Radiative transfer, Inverse problem, Albedo identification, MPCA: 
                         multi-particle collision algorithm.",
             abstract = "An inverse radiative transfer problem formulated as a finite 
                         dimensionaloptimization problem, using Multi-Particle Collision 
                         Algorithm with a pre-regularization strategy.The radiation 
                         propagation in a finite space domain, under isotropic-scattering, 
                         assuming plane-parallel geometry is considered. The optical 
                         prop-erties, absorption and scattering coefficients, have space 
                         dependency. Theproblem is described by linear Boltzmann equation, 
                         considering polar anglediscretization and azimuthal symmetry. The 
                         forward problem is solved us-ing the discrete ordinates. The 
                         inverse problem, reconstruction of the albedoprofile, is performed 
                         minimizing the square difference between measured radi-ance and 
                         the photon concentration computed from the mathematical 
                         forwardmodel emerging from the body.A large number of particles is 
                         generated, and those smoother particles areselected. This scheme 
                         is called intrinsic regularization.Multi-Particle Collision 
                         Algorithm is a stochastic method for global op-timization, also 
                         called metaheuristic, and it is codified into 
                         multiprocessingmachine. The parallel processing reduces the 
                         computation time, since multi-ples particles are evaluated at the 
                         same time. Noiseless and noisy data of theemergent radiation 
                         intensities were employed to compute the albedo profile.Good 
                         inverse solutions are obtained with the proposed approach.1.2 
                         IntroductionOptimization is the area of the Applied Mathematics 
                         that studies the theoryand techniques to finding the best 
                         available values to optimize (minimize ormaximize) some objective 
                         function, also called error function or cost function.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                 isbn = "9783319167268",
                label = "lattes: 5142426481528206 3 TorresLuzCamp:2015:MuCoAl",
             language = "en",
           targetfile = "1_torres.pdf",
                  url = "http://www.springer.com/us/book/9783319167268",
        urlaccessdate = "27 abr. 2024"
}