NDLI: Robust Numerical Integration Using Wave-Digital Concepts

Content Provider	Springer Nature Link
Author	Fettweis, Alfred
Copyright Year	2006
Abstract	Numerical integration of linear and nonlinear ordinary and partial differential equations describing physically realistic systems can be achieved by means of principles derived from those originally developed in the context of wave digital filters, thus in a specialized branch of the broader area of digital signal processing. The method draws maximum advantage of essential physical properties of such systems, in particular of causality, passivity, finiteness of propagation velocities etc. and makes use of the trapezoidal rule for approximating the differential operators. This way it has the unique advantage of simultaneously offering second-order accuracy, high robustness and fault tolerance, massive parallelism, full localness (also for taking into account arbitrary boundary conditions and shapes), and explicit or at least semi-explicit computability. A brief overview of the method is given.
Starting Page	7
Ending Page	25
Page Count	19
File Format	PDF
ISSN	09236082
Journal	Multidimensional Systems and Signal Processing
Volume Number	17
Issue Number	1
e-ISSN	15730824
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2006-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Robust numerical integration linear and nonlinear ordinary and partial differential equations multidimensional causal and passive systems wave-digital approach Artificial Intelligence (incl. Robotics) Electronic and Computer Engineering Signal, Image and Speech Processing Circuits and Systems
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Signal Processing Information Systems Computer Science Applications Software Hardware and Architecture

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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