This paper shows the action potential (spikes) generated from the Hodgkin-Huxley equations emerges near the edge of chaos consisting of a tiny subset of the locally active regime of the HH equations. The main result p...
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This paper shows the action potential (spikes) generated from the Hodgkin-Huxley equations emerges near the edge of chaos consisting of a tiny subset of the locally active regime of the HH equations. The main result proves that the eigenvalues of the 4 x 4 Jacobian matrix associated with the mathematically intractable system of four nonlinear differential equations are identical to the zeros of a scalar complexity function from complexity theory. Moreover, we show the loci of a pair of complex-conjugate zeros migrate continuously as a function of an externally applied DC current excitation emulating the net synaptic excitation current input to the neuron. In particular, the pair of complex-conjugate zeros move from a subcritical Hopf bifurcation point at low excitation current to a super-critical Hopf bifurcation point at high excitation current. The spikes are generated as the excitation current approaches the vicinity of the edge of chaos, which leads to the onset of the subcritical Hopf bifurcation regime. It follows from this in-depth qualitative analysis that local activity is the origin of spikes.
When representing realistic physical phenomena by partial differential equations (PDE), it is crucial to approximate the underlying physics correctly, to get precise results, and to efficiently use the computer archit...
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When representing realistic physical phenomena by partial differential equations (PDE), it is crucial to approximate the underlying physics correctly, to get precise results, and to efficiently use the computer architecture. Incorrect results can appear in incompressible Navier-Stokes or Stokes problems when the numerical approach couples into spurious modes. In Maxwell or magnetohydrodynamic (MHD) equations the so-called spectrum pollution effect can occur, and the numerical solution does not stably converge to the physical one. Problems coming from a mesh that is not adapted to the underlying physical problem, or from an inadequate choice of the dependent and independent variables can lead to low precision. Efficiency of a code implementation can be improved by well adapting the parallel computer to the application. A new monitoring system enables to detect poor implementations, to find best suited resources to execute the job, and to adapt the processor frequency during. (C) 2010 Elsevier Ltd. All rights reserved.
We introduce and study a probabilistic quasi-metric on the set of complexity functions, which provides an efficient framework to measure the distance from a complexity function f to another one g in the case that f is...
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We introduce and study a probabilistic quasi-metric on the set of complexity functions, which provides an efficient framework to measure the distance from a complexity function f to another one g in the case that f is asymptotically more efficient than g. In this context we also obtain a version of the Banach fixed point theorem which allows us to show that the functionals associated both to Divide and Conquer algorithms and Quicksort algorithms have a unique fixed point. (C) 2010 Elsevier Inc. All rights reserved.
We exhibit a recurrence on the number of discrete line segments joining two integer points in the plane using an encoding of such segments as balanced words of given length and height over the two- letter alphabet {0,...
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We exhibit a recurrence on the number of discrete line segments joining two integer points in the plane using an encoding of such segments as balanced words of given length and height over the two- letter alphabet {0,1}. We give generating functions and study the asymptotic behaviour. As a particular case, we focus on the symmetrical discrete segments which are encoded by balanced palindromes.
We studied numerically complexity functions for interval exchange transformations. We have shown that they grow linearly in time as well as the c-complexity function. Moreover, we found out that they depend also linea...
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We studied numerically complexity functions for interval exchange transformations. We have shown that they grow linearly in time as well as the c-complexity function. Moreover, we found out that they depend also linearly on E where E is the Lebesgue measure of a set of initial points. This allows us to hypothesize that the dimension of the measure related to the E-complexity function could be determined by studying the dependence of local complexity functions on C. (c) 2008 Elsevier B.V. All rights reserved.
The complexity of an algorithm is usually expressed using complexity functions and complexity classes. In this paper we present a method to reduce the work with multi-variable complexity functions to the work with one...
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ISBN:
(纸本)9783901509704
The complexity of an algorithm is usually expressed using complexity functions and complexity classes. In this paper we present a method to reduce the work with multi-variable complexity functions to the work with one-variable complexity functions. We define five complexity classes for multi-variable complexity functions and then we prove some properties for these classes.
The main result of the present paper is that the variable-free fragment of logic K*, the logic with a singleK-style modality and its "reflexive and transitive closure," is EXPTIMEcomplete. It is then shown t...
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The main result of the present paper is that the variable-free fragment of logic K*, the logic with a singleK-style modality and its "reflexive and transitive closure," is EXPTIMEcomplete. It is then shown that this immediately gives EXPTIME-completeness of variable-free fragments of a number of known EXPTIME-complete logics. Our proof contains a general idea of how to construct a polynomial-time reduction of a propositional logic to its n-variable- and even, in the cases of K*, PDL, CTL, ATL, and some others, variable-free-fragments. complexity of countermodels for such fragments is considered.
There exists a variety of techniques for the time complexity analysis of algorithms and functions. This analysis is used to find out the upper-bound on time complexity in big-oh notation, which is denoted by O(g(n)) w...
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ISBN:
(纸本)9789806560550
There exists a variety of techniques for the time complexity analysis of algorithms and functions. This analysis is used to find out the upper-bound on time complexity in big-oh notation, which is denoted by O(g(n)) with g(n) is a function of n, and n is the size of the given problem. Besides the big-oh complexity, there axe other complexity notations, such as Omega, theta, and small o complexities. complexity analysis is used to select an appropriate algorithm for solving a given problem using computers. Unfortunately there does not exist any efficient, generalized framework for the time complexity analysis. Most of the existing techniques are complex, obsolete, and hard to use in practice. There is a misconception in some literature that 0(g(n)) is a function rather than a set. In this paper, it has been established that 0(g(n) is basically a set, which includes all algorithms with an upper bound on the order of g(n). Moreover, a generalized framework for analyzing the time-complexity function f (n) for algorithms in obtaining the big-oh notational complexity has been proposed. The method has been extended for functions f (n(1), n(2), ... , n(m)), m = 1, 2, ... involving multiple variables. Other complexity orders are discussed, and compared with the big-oh complexity.
This article presents a survey about balanced words. The balance property comes from combinatorics on words and is used as a characteristic property of the well-known Sturmian words. The main goal of this survey is to...
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This article presents a survey about balanced words. The balance property comes from combinatorics on words and is used as a characteristic property of the well-known Sturmian words. The main goal of this survey is to study various generalizations of this notion with applications and with open problems in number theory and in theoretical computer science. We also prove a new result about the generalized balance property of hypercubic billiard words.
A generalization of numeration systems in which NI is recognizable by finite automata can be obtained by describing a lexicographically ordered infinite regular language. We show that if P is an element of Q[x] is a p...
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A generalization of numeration systems in which NI is recognizable by finite automata can be obtained by describing a lexicographically ordered infinite regular language. We show that if P is an element of Q[x] is a polynomial such that P(N) subset of N then there exists a numeration system in which the set of representations of P(N) is regular. The main issue is to construct a regular language with a complexity function equals to P(n + 1) - P(n) for n large enough. (C) 2002 Elsevier Science B.V. All rights reserved.
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