Get Decision Diagram Techniques for Micro- and Nanoelectronic PDF


By Svetlana N. Yanushkevich, D. Michael Miller, Vlad P. Shmerko, Radomir S. Stankovic

ISBN-10: 0849334241

ISBN-13: 9780849334245

Choice diagram (DD) ideas are extremely popular within the digital layout automation (EDA) of built-in circuits, and for sturdy cause. they could competently simulate common sense layout, can express the place to make mark downs in complexity, and will be simply transformed to version diverse eventualities. providing DD strategies from an utilized viewpoint, choice Diagram concepts for Micro- and Nanoelectronic layout instruction manual presents a complete, up to date number of DD ideas. specialists with greater than 40 years of mixed adventure in either commercial and educational settings exhibit how you can practice the thoughts to complete virtue with greater than four hundred examples and illustrations. starting with the basic thought, facts buildings, and good judgment underlying DD concepts, they discover a breadth of issues from mathematics and word-level representations to spectral ideas and event-driven research. The booklet additionally contains ample references to extra special info and extra purposes. selection Diagram strategies for Micro- and Nanoelectronic layout instruction manual collects the idea, tools, and sensible wisdom essential to layout extra complicated circuits and locations it at your fingertips in one, concise reference.

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Additional info for Decision Diagram Techniques for Micro- and Nanoelectronic Design Handbook

Example text

Logic design of nanodevices is being developed in two directions: Using advanced logic design techniques and methods from other disciplines, in particular, fault-tolerant computing. Development of a new theory and technique for logic design in spatial dimensions. The first direction adapts architectural approaches such as array-based logic, parallel and distributed architectures, methods from fault-tolerant computing and adaptive structures such as neural networks. The design of nanostructure topologies based on decision diagram techniques is considered in Chapter 34.

Decision tables are used to formalize many approaches and to represent data [1, 13, 16]. Multivalued counterpart of decision tables are used to represent multivalued relations (see, for example, [12]). Decision trees and diagrams. Decision trees were introduced first to represent discrete sets in 1935 by Kurepa [9]. The applications of decision trees include decision table programming [13, 16], databases, pattern recognition [1], taxonomy and identification [6], and analysis of algorithms [17]. A particular case, binary decision trees are used in many areas of data mining and processing.

It follows that x1 x2 ∨ x1 x2 = x1 . The edges 1x and x1 define in a unique way the function f , hence we can write f = {1x, x1}. This corresponds to the function f = x1 ∨x2 . 9a). 3 Decision trees and diagrams Decision trees can be derived from a functional equation or truth table. This provides a canonical representation of functions in graphical form, so that for a fixed variable order there is a bijection between switching functions and decision diagrams. The definitions for decision trees and diagrams are given in Chapter 2.

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Decision Diagram Techniques for Micro- and Nanoelectronic Design Handbook by Svetlana N. Yanushkevich, D. Michael Miller, Vlad P. Shmerko, Radomir S. Stankovic

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