Algorithms Lecture Notes Springer

The 32 revised full papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on side channels, modular multiplication, low resources, implementation aspects, collision attacks, fault attacks, hardware implementation, and authentication and signatures.

Molecular simulation is a widely used tool in biology, chemistry, physics and engineering. This book contains a collection of articles by leading researchers who are developing new methods for molecular modelling and simulation. Topics addressed here include: multiscale formulations for biomolecular modelling, such as quantum-classical methods and advanced solvation techniques; protein folding methods and schemes for sampling complex landscapes; membrane simulations; free energy calculation; and techniques for improving ergodicity. The book is meant to be useful for practitioners in the simulation community and for those new to molecular simulation who require a broad introduction to the state of the art.

The development of algorithms for large sparse numerical optimization is currently a very active area of research in numerical analysis. The adaptation of efficient methods to the large sparse setting is proving to be a difficult and challenging task. Apparently, it is often impossible to preserve sparsity and attain other desirable properties simultaneously: algorithms must achieve a delicate compromise.