[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

Preface 1. Introduction 2. Conservation laws and differential equations 3. Characteristics and Riemann problems for linear hyperbolic equations 4. Finite-volume methods 5. Introduction to the CLAWPACK software 6. High resolution methods 7. Boundary conditions and ghost cells 8. Convergence, accuracy, and stability 9. Variable-coefficient linear equations 10. Other approaches to high resolution 11. Nonlinear scalar conservation laws 12. Finite-volume methods for nonlinear scalar conservation laws 13. Nonlinear systems of conservation laws 14. Gas dynamics and the Euler equations 15. Finite-volume methods for nonlinear systems 16. Some nonclassical hyperbolic problems 17. Source terms and balance laws 18. Multidimensional hyperbolic problems 19. Multidimensional numerical methods 20. Multidimensional scalar equations 21. Multidimensional systems 22. Elastic waves 23. Finite-volume methods on quadrilateral grids Bibliography Index.

https://depts.washington.edu/clawpack/book2/sample.pdf

Finite Volume Methods for Hyperbolic Problems

Continuously indexed Gaussian fields (GFs) are the most important ingredient in spatial statistical modelling and geostatistics. The specification through the covariance function gives an intuitive interpretation of the field properties. On the computational side, GFs are hampered with the big n problem, since the cost of factorizing dense matrices is cubic in the dimension. Although computational power today is at an all time high, this fact seems still to be a computational bottleneck in many applications. Along with GFs, there is the class of Gaussian Markov random fields (GMRFs) which are discretely indexed. The Markov property makes the precision matrix involved sparse, which enables the use of numerical algorithms for sparse matrices, that for fields in R-2 only use the square root of the time required by general algorithms. The specification of a GMRF is through its full conditional distributions but its marginal properties are not transparent in such a parameterization. We show that, using an approximate stochastic weak solution to (linear) stochastic partial differential equations, we can, for some GFs in the Matern class, provide an explicit link, for any triangulation of R-d, between GFs and GMRFs, formulated as a basis function representation. The consequence is that we can take the best from the two worlds and do the modelling by using GFs but do the computations by using GMRFs. Perhaps more importantly, our approach generalizes to other covariance functions generated by SPDEs, including oscillating and non-stationary GFs, as well as GFs on manifolds. We illustrate our approach by analysing global temperature data with a non-stationary model defined on a sphere. (Less)

https://rss.onlinelibrary.wiley.com/doi/epdf/10.1111/j.1467-9868.2011.00777.x

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

http://ieeexplore.ieee.org/iel5/5610941/5624686/05624745.pdf

Power electronics

We survey the quadratic eigenvalue problem, treating its many applications, its mathematical properties, and a variety of numerical solution techniques. Emphasis is given to exploiting both the structure of the matrices in the problem (dense, sparse, real, complex, Hermitian, skew-Hermitian) and the spectral properties of the problem. We classify numerical methods and catalogue available software.

/pdf/the-quadratic-eigenvalue-problem-4ozf2mxadi.pdf

The Quadratic Eigenvalue Problem

Upwind methods for hyperbolic conservation laws with source terms

https://hal.inria.fr/inria-00073955/document

Upwind schemes for the two-dimensional shallow water equations with variable depth using unstructured meshes

An optimal perfectly matched layer with unbounded absorbing function for time-harmonic acoustic scattering problems

Methods of maximal monotone operators are used in order to study, from a general point of view, duality numerical algorithms for solving variational inequalities. With classical algorithms, such as Uzawa's method for the standard and augmented Lagrangian, this paper presents some new algorithms, which appear to have very good numerical performances.

Alfredo Bermúdez

Papers

Upwind methods for hyperbolic conservation laws with source terms

Upwind schemes for the two-dimensional shallow water equations with variable depth using unstructured meshes

An optimal perfectly matched layer with unbounded absorbing function for time-harmonic acoustic scattering problems

Duality methods for solving variational inequalities

Finite element computation of the vibration modes of a fluid—solid system