Perusing the titles of the essays in this book makes it clear that its author is a man
with many interests and a great curiosity. David Speiser is a lover and connoisseur of
art. His view of the world is coloured by his familiarity with mathematics, that is,
with “organized imagination” (his definition, see p. 49). As a...
This volume is dedicated to Leonid Lerer on the occasion of his seventieth birthday. The main part presents recent results in Lerer’s research area of interest, which includes Toeplitz, Toeplitz plus Hankel, and Wiener-Hopf operators, Bezout equations, inertia type results, matrix polynomials, and related areas in operator and matrix...
This volume provides a general overview of discrete- and continuous-time Markov control processes and stochastic games, along with a look at the range of applications of stochastic control and some of its recent theoretical developments. These topics include various aspects of dynamic programming, approximation...
This special volume focuses on optimization and control of processes governed by partial differential equations. The contributors are mostly participants of the DFG-priority program 1253: Optimization with PDE-constraints which is active since 2006. The book is organized in sections which cover almost the entire spectrum of modern research in...
Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object and the image-formation process. Both three-dimensional electron microscopy and X-ray tomography can be captured in the...
The sliding mode control methodology has proven effective in dealing with complex dynamical systems affected by disturbances, uncertainties and unmodeled dynamics. Robust control technology based on this methodology has been applied to many real-world problems, especially in the areas of aerospace control, electric power systems,...
ââââDescribing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods. Furthermore, it...
The second edition of this highly praised textbook provides an introduction to tensors, group theory, and their applications in classical and quantum physics. Both intuitive and rigorous, it aims to demystify tensors by giving the slightly more abstract but conceptually much clearer definition found in the math literature, and then connects...
This textbook takes a broad yet thorough approach to mechanics, aimed at bridging the gap between classical analytic and modern differential geometric approaches to the subject.â Developed by the author from 35 years of teaching experience, the presentation is designed to give students an overview of the many...
The much-lamented “innovation gap” often referenced by current authors
with respect to drug discovery in the pharmaceutical industry is a sure
sign that an era has passed. The reductionist view of disease as the direct
consequence of isolated errors of metabolism that could be explained
and understood as simple enzyme...
The NPY-family of peptides encompasses several groups of neurotransmitters and hormones, which exert diverse biological and pathological actions that bear on all major vital systems. The recognition of the role of NPY in stimulation of food intake has already resulted in discovery of potent and selective NPY receptor Y-5 antagonists which are...
It is with great pleasure that we introduce the first volume of Birkhäuser
Advances in Infectious Diseases.This book series will focus on relevant topics
of microbiology and infectious diseases with emphasis (as much as possible)
on emerging pathogens and related diseases.The series will also stress
the inter-disciplinarity...
