Trends in Industrial and Applied Mathematics

Proceedings of the 1st International Conference on Industrial and Applied Mathematics of the Indian Subcontinent

Inbunden, Engelska, 2002

1 369 kr

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This text contains results of research on: numerical solutions of Schrodinger-type problems; sampling theorems; numerical methods for large-scale non-convex quadratic programming; derivative-free algorithms; free material optimization; Moreau's sweeping process and a perspective on contemporary industrial mathematics work. The book also includes wavelet-based digital watermarking techniques and computer simulation of meteorological parameters. One chapter of the book is also devoted to the importance of strange attractors for industrial mathematics.

Produktinformation

Utgivningsdatum2002-08-31
Mått156 x 234 x 26 mm
Vikt746 g
FormatInbunden
SpråkEngelska
SerieApplied Optimization
Antal sidor361
Upplaga2002
FörlagKluwer Academic Publishers
ISBN9781402007514

Tillhör följande kategorier

A Perspective on Industrial Mathematics Work in Recent Years.- I Sampling Theorems.- The Sampling Theorem of Signal Processing.- The ‘Riesz Basis Method’ for Deriving Sampling Series: An Overview and some Applications.- Sampling and Quasi-Sampling in Rotation Invariant Paley-Wiener Spaces.- II Wawelets.- Wavelet Based Computer Simulation of some Meteorological Parameters.- A New Fast DCT based Digital Watermarking Technique.- III Mathematical Programming and Applications.- A Derivative-Free Algorithm for Sparse Unconstrained Optimization Problems.- Numerical Methods for Large-Scale Non-Convex Quadratic Programming.- Free Material Optimization: An Overview.- IV Numerical Methods and Control.- Numerical Methods for Schrödinger-Type Problems.- Low Cost Control Problems.- The Importance of Strange Attractors for Industrial Mathematics.- Sufficient Optimality in a Parabolic Control Problem.- Finite Element Approximations to an Evolutionary Variational Inequality with a Volterra Term.- On some Recent Developments concerning Moreau’s Sweeping Process.