Jean-Daniel Zucker Book order

This book - an outgrowth of a topical summer school - sets out to introduce non-specialists from physics and engineering to the basic mathematical concepts of approximation and Fourier theory. After a general introduction, Part II of this volume contains basic material on the complex and harmonic analysis underlying the further developments presented. Part III deals with the essentials of approximation theory while Part IV completes the foundations by a tour of probability theory. Part V reviews some major applications in signal and control theory. In Part VI mathematical aspects of dynamical systems theory are discussed. Part VII, finally, is devoted to a modern approach to two physics problems: turbulence and the control and noise analysis in gravitational waves measurements.

This collection features a range of papers and research summaries on various aspects of program verification, abstraction methods, and heuristic search in stochastic environments. Topics include generating admissible heuristics, synthesizing plans across multiple domains, and implementing frameworks for soft constraints. The work explores learning regular expressions from noisy sequences and transitioning from hierarchical hidden Markov models to Bayesian networks. It revisits hierarchical heuristic search and presents models for sequence and text classification using multinomial event abstractions. The collection also delves into polynomial reachability checking for Petri nets and symmetry detection in problem specifications. Additional studies focus on approximate model-based diagnosis, feature selection, and construction to enhance concept learning in high-dimensional data. The papers address qualitative spatio-temporal abstractions in disaster scenarios and automatic concept formation through minimum description length. The research includes experiments with multiple abstraction heuristics in symbolic verification and probabilistic abstraction for uncertain temporal data. It also covers knowledge acquisition in flow and water quality models, state abstraction for real-time video games, and learning skills in reinforcement learning through relative novelty. Invited talks discuss efficient SQL query responses and abstract r

Multiprocessor system archicture; Harware design; Applications of microprogramming; Communication processor and networks; Bit-slice calculator; Microprocessor specoa; applications; Synchronizations problems in multiprocesor systems; Processor organziations