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In 1936 Silberstein proposes a fairly straightforward discrete theory.
One also needs to be very careful about, e.g., claims that quantum mechanics deals with discrete values, usually in relation to Heisenberg uncertainty principles, hence physics at the basic level is a discrete theory.
A similar problem faces causal set theory in the form of the 'inverse problem', which roughly amounts to the difficulty of getting continuous manifolds (with their corresponding symmetries) from a fundamentally discrete theory (see Wallden, 2010, for a good recent review of causal sets, including a discussion of this problem, on which progress has also been made).
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Changing perspectives and research on motivation have led away from large, all-encompassing theories of motivation to smaller, discrete theories that explain specific motives or specific aspects of motivation under particular conditions.
In this chapter, we show that contemporary mathematics provides powerful methods and algorithms for continuous and discrete theories of optimal control, which constitute suitable theoretical and computational tools when evaluating extremal or optimal properties of practical systems.
Compositional models were initially described for discrete probability theory, and later extended for possibility theory and for belief functions in Dempster Shafer (D S) theory of evidence.
The main tool in the proofs is discrete Morse theory as developed by Forman, and an application of this theory to order complexes of graded posets, designed by Babson and Hersh, in the extended form of Hersh and Welker.
A wide survey of results stemming from discrete Schrödinger theory is provided through [3].
In discrete Schrödinger theory, basic special functions like q-hypergeometric functions resp.
Reference [2] refers to the ladder operator formalism in discrete Schrödinger theory.
Stemming from psychology and economics, discrete choice theory has become a mainstream since 1980s.
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CEO of Professional Science Editing for Scientists @ prosciediting.com