Materias dentro de su búsqueda.
Materias dentro de su búsqueda.
- Mathematical models 36
- Python (Computer program language) 32
- Data processing 30
- History of engineering & technology 28
- Finance 23
- Technology: general issues 23
- Research & information: general 21
- Monte Carlo method 20
- Monte Carlo simulation 20
- Statistical methods 18
- machine learning 18
- Bayesian statistical decision theory 17
- Machine learning 17
- R (Computer program language) 15
- Monte Carlo 14
- Risk management 14
- Artificial intelligence 13
- Computer programs 12
- Computer simulation 11
- Novela francesa 11
- Computer graphics 10
- Reinforcement learning 10
- Óperas 10
- Mathematics 9
- Microsoft Excel (Computer file) 9
- Probabilities 9
- deep learning 9
- optimization 9
- sustainability 9
- Big data 8
-
41
-
42
-
43por Lim, Chjan C., 1959-Tabla de Contenidos: “…Probability -- Statistical Mechanics -- The Monte Carlo Approach -- Spectral Methods -- Discrete Models in Fluids -- Spin-Lattice Models -- Monte Carlo Simulations of Spin-Lattice Models on the Sphere -- Polyhedra and Ground States -- Mesh Generation -- Statistical Mechanics for a Vortex Gas -- Two-Layer Quasi-Geostrophic Models -- Coupled Barotropic Vorticity Dynamics on a Rotating Sphere…”
Publicado 2007
Libro electrónico -
44Publicado 2011“…In this book, Applications of Monte Carlo Method in Science and Engineering, we further expose the broad range of applications of Monte Carlo simulation in the fields of Quantum Physics, Statistical Physics, Reliability, Medical Physics, Polycrystalline Materials, Ising Model, Chemistry, Agriculture, Food Processing, X-ray Imaging, Electron Dynamics in Doped Semiconductors, Metallurgy, Remote Sensing and much more diverse topics. …”
Libro electrónico -
45
-
46
-
47
-
48Publicado 2010Materias:Libro electrónico
-
49Publicado 2014Tabla de Contenidos: “…4.3.1 The Hilbert space framework4.3.2 Dirichlet form, spectral gap, and exponential bounds; 4.3.3 Spectral theory for reversible matrices; 4.3.4 Continuous-time Markov chains; Exercises; Chapter 5 Monte Carlo methods; 5.1 Approximate solution of the Dirichlet problem; 5.1.1 General principles; 5.1.2 Heat equation in equilibrium; 5.1.3 Heat equation out of equilibrium; 5.1.4 Parabolic partial differential equations; 5.2 Invariant law simulation; 5.2.1 Monte Carlo methods and ergodic theorems; 5.2.2 Metropolis algorithm, Gibbs law, and simulated annealing…”
Libro electrónico -
50
-
51
-
52Publicado 2014Materias:Tesis
-
53
-
54Publicado 2011“…In such situations the application of analytical models for parameter distributions is totally inappropriate because their assumptions are not applicable for intrinsically non-linear regressions. That is why, Monte Carlo simulations are a powerful tool to model biochemical processes"--Introduction…”
Revista digital -
55
-
56
-
57
-
58
-
59
-
60