Despite their widespread use for performing advanced computational tasks, digital signal
processors suffer from several restrictions, including low speed, high power consumption …

Through the previous three editions, Handbook of Differential Equations has proven an
invaluable reference for anyone working within the field of mathematics, including …

Recently, the study of analog optical computing raised renewed interest due to its natural
advantages of parallel, high speed and low energy consumption over conventional digital …

Analog spatial differentiation is used to realize edge-based enhancement, which plays an
important role in data compression, microscopy, and computer vision applications. Here, a …

Analog computing based on wave interactions with metamaterials has been raising
significant interest as a low-energy, ultrafast platform to process large amounts of data …

The recent breakthrough in metamaterial-based optical computing devices (2014 Science
343 160) has inspired a quest for similar systems in acoustics, performing mathematical …

Wave-based analog computing has recently emerged as a promising computing paradigm
due to its potential for high computational efficiency and minimal crosstalk. Although low …

Memristors, resistors with memory whose outputs depend on the history of their inputs, have
been used with success in neuromorphic architectures, particularly as synapses and non …

Basic ingredients universally available in the carrier transport of conductive solids are
proved to be sufficient (not necessary) conditions for the formation of memory while …

The abstract basis of modern computation is the formal description of a finite state machine,
the Universal Turing Machine, based on manipulation of integers and logic symbols. In this …