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Applied Mathematics and Parallel Computing: Festschrift for Klaus Ritter

Editat de Herbert Fischer, Bruno Riedmüller, Stefan Schäffler
en Limba Engleză Paperback – mar 2012
The authors of this Festschrift prepared these papers to honour and express their friendship to Klaus Ritter on the occasion of his sixtieth birthday. Be­ cause of Ritter's many friends and his international reputation among math­ ematicians, finding contributors was easy. In fact, constraints on the size of the book required us to limit the number of papers. Klaus Ritter has done important work in a variety of areas, especially in var­ ious applications of linear and nonlinear optimization and also in connection with statistics and parallel computing. For the latter we have to mention Rit­ ter's development of transputer workstation hardware. The wide scope of his research is reflected by the breadth of the contributions in this Festschrift. After several years of scientific research in the U.S., Klaus Ritter was ap­ pointed as full professor at the University of Stuttgart. Since then, his name has become inextricably connected with the regularly scheduled conferences on optimization in Oberwolfach. In 1981 he became full professor of Applied Mathematics and Mathematical Statistics at the Technical University of Mu­ nich. In addition to his university teaching duties, he has made the activity of applying mathematical methods to problems of industry to be centrally important.
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Specificații

ISBN-13: 9783642997914
ISBN-10: 3642997910
Pagini: 388
Ilustrații: VIII, 376 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:Softcover reprint of the original 1st ed. 1996
Editura: Physica-Verlag HD
Colecția Physica
Locul publicării:Heidelberg, Germany

Public țintă

Research

Cuprins

Informatics and the Internal Necessity for the Mathematization of the Sciences.- A New Semi-infinite Programming Method for Nonlinear Approximation.- Exhibition Organized by Klaus Ritter on the Occasion of the 125th Anniversary of the Technical University of Munich.- Concavity of the Vector-Valued Functions Occuring in Fuzzy Multiobjective Decision-Making.- An Algorithm for the Solution of the Parametric Quadratic Programming Problem.- Optimal and Asymptotically Optimal Equi-partition of Rectangular Domains via Stripe Decomposition.- Trust-Region Interior-Point Algorithms for Minimization Problems with Simple Bounds.- Adaptive Kernel Estimation of a Cusp-shaped Mode.- Automatic Differentiation: The Key Idea and an Illustrative Example.- An Approach to Parallelizing Isotonic Regression.- Mathematical Programming at Oberwolfach.- A SQP-Method for Linearly Constrained Maximum Likelihood Problems.- Machine Learning via Polyhedral Concave Minimization.- Optimization Concepts in Autonomous Mobile Platform Design.- A Fuzzy Set Approach for Optimal Positioning of a Mobile Robot Using Sonar Data.- Gradient Computation by Matrix Multiplication.- Simulating Ultrasonic Range Sensors on a Transputer Workstation.- A Modular Architecture for Optimization Tutorials.- Differential Stability Conditions for Saddle Problems on Products of Convex Polyhedra.- Large-Scale Global Optimization on Transputer Networks.- The Statistical Art of Maximizing the Likelihood.- Remote Access to a Transputer Workstation.- An Extension of Multivariate Reliability Systems.- Automatic Differentiation: A Structure-Exploiting Forward Mode with Almost Optimal Complexity for Kantorovi? Trees.- Approximate Structured Optimization by Cyclic Block-Coordinate Descent.- Author Index.