Radiation damping for speeding-up NMR applications

Speeding Up Dynamic Programming with Applications to

Consider the problem of computing E[j] = mit:! {D[k] + w(k, j)}, j = 1, ... , n, O~k~]-l where w is a given weight function, D[D] is given and for every k = 1, ... , n, D[k] is easily computable from E[k]. This problem appears as a subproblem in dynamic programming solutions to various problems. Obviously, it can be solved in time O( n ), and for a general weight function no better algorithm is...

Speeding up simulation applications using WinGrid

The vision of grid computing is to make computational power, storage capacity, data and applications available to users as readily as electricity and other utilities. Grid infrastructures and applications have traditionally been geared towards dedicated, centralized, high performance clusters running on UNIX “flavour” operating systems (commonly referred to as cluster-based grid computing). Thi...

Replication techniques for speeding up parallel applications on distributed systems

Traditional programming methods for loosely-coupled systems are based on message-passing. More recently, methods have emerged based for ‘‘virtually’’ sharing data. These methods simplify distributed programming, but are hard to implement efficiently, as loosely-coupled systems do not contain physical shared memory. We introduce a new model, the shared data-object model, that eases the implement...

Radiation damping in modern NMR experiments: progress and challenges.

Radiation Damping

The basic formulae for the damping of the energy and betatron oscillations are derived. The results are applied to a number of examples of different lattice designs in which radiation damping effects are important. Methods of modifying and measuring the damping rates are also discussed.