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Characterizing Complexity Changes in Chinese Stock Markets by Permutation Entropy
Entropy, 2017 Financial time series analyses have played an important role in developing some of the fundamental economic theories. However, many of the published analyses of financial time series focus on long-term average behavior of a market, and thus shed little ...
Yunfei Hou +4 more
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Quantum State Complexity in Computationally Tractable Quantum Circuits
PRX Quantum, 2021 Characterizing the quantum complexity of local random quantum circuits is a very deep problem with implications to the seemingly disparate fields of quantum information theory, quantum many-body physics, and high-energy physics.
Jason Iaconis
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Novel reduced-state BCJR algorithms [PDF]
, 2007 BCJR algorithm is an exact and efficient algorithm to compute the marginal posterior distributions of state variables and pairs of consecutive state variables of a trellis structure. Due to its overwhelming complexity, reduced complexity variations, such
Vithanage, CM, Piechocki, RJ, Andrieu, C
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Operational State Complexity of Deterministic Unranked Tree Automata [PDF]
Electronic Proceedings in Theoretical Computer Science, 2010 We consider the state complexity of basic operations on tree languages recognized by deterministic unranked tree automata. For the operations of union and intersection the upper and lower bounds of both weakly and strongly deterministic tree automata are
Xiaoxue Piao, Kai Salomaa
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Complexity analysis of spontaneous brain activity: effects of depression and antidepressant treatment [PDF]
, 2011 Magnetoencephalography (MEG) allows the real-time recording of neural activity and oscillatory activity in distributed neural networks. We applied a non-linear complexity analysis to resting-state neural activity as measured using whole-head MEG ...
Tomás Ortiz +21 more
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State Complexity of Protocols with Leaders
Proceedings of the 2022 ACM Symposium on Principles of Distributed Computing, 2022 Population protocols are a model of computation in which an arbitrary number of anonymous finite-memory agents are interacting in order to decide by stable consensus a predicate. In this paper, we focus on the counting predicates that asks, given an initial configuration, whether the number of agents in some initial state $i$ is at least $n$.
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State Complexity of Multiple Catenations
Fundamenta Informaticae, 2018 We improve some results relative to the state complexity of the multiple catenations described by Gao and Yu. In particular we nearly divide by 2 the size of the alphabet needed for witnesses. We also give some refinements to the algebraic expression of the state complexity, which is especially complex with this operation.
Caron, Pascal +2 more
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, 2021 Properly measuring the complexity of time series is an important issue. The permutation entropy (PE) is a widely used as an effective complexity measurement algorithm, but it is not suitable for the complexity description of multi-dimensional data.
Dizhen Ma, Shaobo He, Kehui Sun
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How to Make a Barranco: Modeling Erosion and Land-Use in Mediterranean Landscapes
Land, 2015 We use the hybrid modeling laboratory of the Mediterranean Landscape Dynamics (MedLanD) Project to simulate barranco incision in eastern Spain under different scenarios of natural and human environmental change.
C. Michael Barton +2 more
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State dependence of Krylov complexity in 2d CFTs
Journal of High Energy Physics, 2023 We compute the Krylov Complexity of a light operator O $$ \mathcal{O} $$ L in an eigenstate of a 2d CFT at large central charge c. The eigenstate corresponds to a primary operator O $$ \mathcal{O} $$ H under the state-operator correspondence.
Arnab Kundu, Vinay Malvimat, Ritam Sinha
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