deterministic selection theory equations Search Results


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MathWorks Inc deterministic selection theory equations
Deterministic Selection Theory Equations, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Verlag GmbH iterative learning control for deterministic systems
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Landauer Inc landauer's principle
Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional <t>(deterministic</t> but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.
Landauer's Principle, supplied by Landauer Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Nonlinear Dynamics deterministic nonlinear dynamics
Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional <t>(deterministic</t> but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.
Deterministic Nonlinear Dynamics, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Staples deterministic assumptions
Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional <t>(deterministic</t> but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.
Deterministic Assumptions, supplied by Staples, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Speakman deterministic model
Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional <t>(deterministic</t> but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.
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Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional <t>(deterministic</t> but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.
Deterministic Solver, supplied by Gurobi Optimization, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc fmincon
Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional <t>(deterministic</t> but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.
Fmincon, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc monte carlo simulations
Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional <t>(deterministic</t> but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.
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Verlag GmbH deterministic finite-dimensional systems
Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional <t>(deterministic</t> but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.
Deterministic Finite Dimensional Systems, supplied by Verlag GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Deltagen Inc deterministic simulation
Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional <t>(deterministic</t> but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.
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MathWorks Inc matlab software
Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional <t>(deterministic</t> but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.
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Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional (deterministic but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.

Journal: Entropy

Article Title: Quantum Foundations of Classical Reversible Computing

doi: 10.3390/e23060701

Figure Lengend Snippet: Illustration of different types of computational operations O s t on a set C of 3 computational states. Examples shown here are partial functions— O ( c 3 ) is not defined. At upper-left is a conventional (deterministic but non-reversible) computational operation which merges two initially distinct computational states. At upper-right is a deterministic, reversible operation which is injective (one-to-one) over the subset A = { c 1 , c 2 } of initial states for which it is defined. At lower-right is a stochastic but reversible operation which does not merge any states, but splits the state c 2 (with some nonzero probability to transition to either c 1 or c 3 ). Finally, at lower-left is a stochastic, irreversible operation which includes both splits and merges.

Article Snippet: The significance of the two RC theorems together is that, in order to avoid the otherwise-necessary entropy increase resulting from Landauer’s Principle when performing isolated computational operations on subsystems in the context of larger deterministic computations, one must confine oneself to the above two cases (unconditionally reversible operations, and/or conditionally reversible operations that have a satisfied condition for reversibility).

Techniques: