Materias dentro de su búsqueda.
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- Inversions 243
- Inversiones 119
- Ahorro e inversión 90
- Empreses 80
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41por Arguedas Sanz, RaquelMaterias: “…Inversiones…”
Publicado 2008
Biblioteca de la Universidad Pontificia de Salamanca (Otras Fuentes: Biblioteca Universidad de Deusto)Libro -
42por Santibáñez, JavierMaterias:
Publicado 1998Biblioteca Universitat Ramon Llull (Otras Fuentes: Biblioteca Universidad de Deusto, Universidad Loyola - Universidad Loyola Granada)Libro -
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44Publicado 1993“…Mi cartera de inversión…”
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53Publicado 2008Materias: “…Inversions públiques Espanya Comunitats autònomes…”
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54Publicado 2007Tabla de Contenidos: “…Inverse and Semi-discrete Problems -- Ill-posed problems and regularization methods -- Approximate inverse in L 2-spaces -- Approximate inverse in Hilbert spaces -- Approximate inverse in distribution spaces -- Conclusion and perspectives -- Application to 3D Doppler Tomography -- A semi-discrete setup for Doppler tomography -- Solving the semi-discrete problem -- Convergence and stability -- Approaches for defect correction -- Conclusion and perspectives -- Application to the spherical mean operator -- The spherical mean operator -- Design of a mollifier -- Computation of reconstruction kernels -- Numerical experiments -- Conclusion and perspectives -- Further Applications -- Approximate inverse and X-ray diffractometry -- A filtered backprojection algorithm -- Computation of reconstruction kernels in 3D computerized tomography -- Conclusion and perspectives…”
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55Publicado 2021Libro electrónico
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57Publicado 2021Tabla de Contenidos: “…Introduction to Bayesian Inverse Problems -- 1.1 Introduction -- 1.2 Sources of uncertainty -- 1.3 Formal definition of probability -- 1.4 Interpretations of probability -- 1.4.1 Physical probability -- 1.4.2 Subjective probability -- 1.5 Probability fundamentals -- 1.5.1 Bayes' Theorem -- 1.5.2 Total probability theorem -- 1.6 The Bayesian approach to inverse problems -- 1.6.1 The forward problem -- 1.6.2 The inverse problem -- 1.7 Bayesian inference of model parameters -- 1.7.1 Markov Chain Monte Carlo methods -- 1.7.1.1 Metropolis-Hasting algorithm -- 1.8 Bayesian model class selection -- 1.8.1 Computation of the evidence of a model class -- 1.8.2 Information-theory approach to model-class selection -- 1.9 Concluding remarks -- 2. …”
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