Results for 'Numerical methods'

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  1.  50
    Numerical Methods, Complexity, and Epistemic Hierarchies.Nicolas Fillion & Sorin Bangu - 2015 - Philosophy of Science 82 (5):941-955.
    Modern mathematical sciences are hard to imagine without appeal to efficient computational algorithms. We address several conceptual problems arising from this interaction by outlining rival but complementary perspectives on mathematical tractability. More specifically, we articulate three alternative characterizations of the complexity hierarchy of mathematical problems that are themselves based on different understandings of computational constraints. These distinctions resolve the tension between epistemic contexts in which exact solutions can be found and the ones in which they cannot; however, contrary to a (...)
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  2.  11
    The Numerical Method: How It Struck a Contemporary.J. Philip Goldberg - 1963 - Isis 54 (1):133-135.
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  3. XI Numerical Methods for the Schrodinger Equation and Application-A Modular Method for the Efficient Calculation of Ballistic Transport Through Quantum Billiards.S. Rotter, B. Weingartner, F. Libisch, F. Aigner, J. Feist & J. Burgdorfer - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 586-593.
     
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  4.  8
    What numerical methods are not. The case of multilayered simulations, with several computational models.Thomas Boyer - unknown
  5.  1
    Theoretical Foundations and Numerical Methods for Sparse Recovery.Massimo Fornasier (ed.) - 2010 - De Gruyter.
    The present collection is the very first contribution of this type in the field of sparse recovery. Compressed sensing is one of the important facets of the broader concept presented in the book, which by now has made connections with other branches such as mathematical imaging, inverse problems, numerical analysis and simulation. The book consists of four lecture notes of courses given at the Summer School on "Theoretical Foundations and Numerical Methods for Sparse Recovery" held at the (...)
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  6.  9
    Euler’s Numerical Method on Fractional DSEK Model under ABC Derivative.Fareeha Sami Khan, M. Khalid, Omar Bazighifan & A. El-Mesady - 2022 - Complexity 2022:1-12.
    In this paper, DSEK model with fractional derivatives of the Atangana-Baleanu Caputo is proposed. This paper gives a brief overview of the ABC fractional derivative and its attributes. Fixed point theory has been used to establish the uniqueness and existence of solutions for the fractional DSEK model. According to this theory, we will define two operators based on Lipschitzian and prove that they are contraction mapping and relatively compact. Ulam-Hyers stability theorem is implemented to prove the fractional DSEK model’s stability (...)
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  7.  32
    On the presumed superiority of analytical solutions over numerical methods.Vincent Ardourel & Julie Jebeile - 2017 - European Journal for Philosophy of Science 7 (2):201-220.
    An important task in mathematical sciences is to make quantitative predictions, which is often done via the solution of differential equations. In this paper, we investigate why, to perform this task, scientists sometimes choose to use numerical methods instead of analytical solutions. Via several examples, we argue that the choice for numerical methods can be explained by the fact that, while making quantitative predictions seems at first glance to be facilitated by analytical solutions, this is actually (...)
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  8.  18
    Analysis of the Fractional-Order Delay Differential Equations by the Numerical Method.Saadia Masood, Muhammad Naeem, Roman Ullah, Saima Mustafa & Abdul Bariq - 2022 - Complexity 2022:1-14.
    In this study, we implemented a new numerical method known as the Chebyshev Pseudospectral method for solving nonlinear delay differential equations having fractional order. The fractional derivative is defined in Caputo manner. The proposed method is simple, effective, and straightforward as compared to other numerical techniques. To check the validity and accuracy of the proposed method, some illustrative examples are solved by using the present scenario. The obtained results have confirmed the greater accuracy than the modified Laguerre wavelet (...)
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  9.  33
    Measuring psychological uncertainty: Verbal versus numeric methods.Paul D. Windschitl & Gary L. Wells - 1996 - Journal of Experimental Psychology: Applied 2 (4):343.
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  10.  34
    Sequence mapping in a three-dimensional space by a numeric method and some of its applications.Leonard R. Lareo & Orlando E. Acevedo - 1999 - Acta Biotheoretica 47 (2):123-128.
    In this work we report a simple way to assign a single numeric value in a three-dimensional space to a given nucleotide sequence. The method reported allows for theoretical comparisons of naturally occurring nucleotide sequences.
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  11.  8
    The Analysis of Fractional-Order System Delay Differential Equations Using a Numerical Method.Pongsakorn Sunthrayuth, Hina M. Dutt, Fazal Ghani & Mohammad Asif Arefin - 2022 - Complexity 2022:1-9.
    To solve fractional delay differential equation systems, the Laguerre Wavelets Method is presented and coupled with the steps method in this article. Caputo fractional derivative is used in the proposed technique. The results show that the current procedure is accurate and reliable. Different nonlinear systems have been solved, and the results have been compared to the exact solution and different methods. Furthermore, it is clear from the figures that the LWM error converges quickly when compared to other approaches. When (...)
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  12. A review of Kenneth L. Judd's Numerical Methods in Economics. [REVIEW]H. Uhlig - 2001 - Journal of Economic Methodology 8 (3):434-442.
  13.  20
    Numerical Simulation of a Class of Three-Dimensional Kolmogorov Model with Chaotic Dynamic Behavior by Using Barycentric Interpolation Collocation Method.Mingjing Du, Junmei Li, Yulan Wang & Wei Zhang - 2019 - Complexity 2019:1-14.
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  14.  18
    A Method for Accelerating of Convergence of Numerical and Power Series.Murat Sadiku - 2019 - Seeu Review 14 (2):114-121.
    In this paper is examined the acceleration of convergence of alternative and non-alternative numerical and power series by means of an Euler-Abel type operator, that is defined earlier by G.A.Sorokin and I.Z.Milovanovic. Through this type of linear operator of generalized difference of sequence is achieved that alternative and non-alternative numerical and power series to be transformed into series with higher speed of convergence than the initial series. At the end of this paper is given the implementation of this (...)
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  15. Numerically Aided Methods in Phenomenology: A Demonstration.Don Kuiken, Don Schopflocher & T. Wild - 1989 - Journal of Mind and Behavior 10 (4):373-392.
    Phenomenological psychology has emphasized that experience as it is immediately "given" to the experiencing individual is an appropriate subject matter for psychological investigation. Consideration of the methodological implications of this stance suggests that certain text analytic and cluster analytic methods could be used to discern the identifying properties of different types of experience. We present results of a study in which textual analysis was used to identify recurrent properties of participants' verbal accounts of their experience, cluster analysis was used (...)
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  16.  19
    Numerical Simulation of a Class of Hyperchaotic System Using Barycentric Lagrange Interpolation Collocation Method.Xiaofei Zhou, Junmei Li, Yulan Wang & Wei Zhang - 2019 - Complexity 2019:1-13.
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  17.  18
    Numerical study of miniature penetrometer in granular material by discrete element method.Jia Lin & Wei Wu - 2012 - Philosophical Magazine 92 (28-30):3474-3482.
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  18.  21
    Constructive Methods of Numeration.Arthur H. Kruse - 1962 - Mathematical Logic Quarterly 8 (1):57-70.
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  19.  25
    Constructive Methods of Numeration.Arthur H. Kruse - 1962 - Zeitschrift fur mathematische Logik und Grundlagen der Mathematik 8 (1):57-70.
  20.  6
    A method to build membership functions application to numerical/symbolic interface building bobrowicz O.-choulet C.-haurat a. [REVIEW]F. -Tebaa M. Sandoz - 1991 - In B. Bouchon-Meunier, R. R. Yager & L. A. Zadeh (eds.), Uncertainty in Knowledge Bases. Springer. pp. 136.
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  21.  20
    Pocklington equation method versus curved segments technique for the numerical study of circular antennas.J. Sosa-Pedroza, V. Barrera-Figueroa & J. López-Bonilla - 2006 - Apeiron 13 (2):260.
  22.  14
    The Adaptation of Babylonian Methods in Greek Numerical Astronomy.Alexander Jones - 1991 - Isis 82 (3):440-453.
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  23.  18
    The Adaptation of Babylonian Methods in Greek Numerical Astronomy.Alexander Jones - 1991 - Isis 82:440-453.
  24.  17
    A Comparison of Finite Difference and Finite Volume Methods with Numerical Simulations: Burgers Equation Model.Ali Hasan Ali, Ahmed Shawki Jaber, Mustafa T. Yaseen, Mohammed Rasheed, Omer Bazighifan & Taher A. Nofal - 2022 - Complexity 2022:1-9.
    In this paper, we present an intensive investigation of the finite volume method compared to the finite difference methods. In order to show the main difference in the way of approaching the solution, we take the Burgers equation and the Buckley–Leverett equation as examples to simulate the previously mentioned methods. On the one hand, we simulate the results of the finite difference methods using the schemes of Lax–Friedrichs and Lax–Wendroff. On the other hand, we apply Godunov’s scheme (...)
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  25.  14
    Early Numerical Analysis in Kepler's New Astronomy.Steinar Thorvaldsen - 2010 - Science in Context 23 (1):39-63.
    ArgumentJohannes Kepler published hisAstronomia novain 1609, based upon a huge amount of computations. The aim of this paper is to show that Kepler's new astronomy was grounded on methods from numerical analysis. In his research he applied and improved methods that required iterative calculations, and he developed precompiled mathematical tables to solve the problems, including a transcendental equation. Kepler was aware of the shortcomings of his novel methods, and called for a new Apollonius to offer a (...)
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  26.  15
    Equilibrium States in Numerical Argumentation Networks.D. M. Gabbay & O. Rodrigues - 2015 - Logica Universalis 9 (4):411-473.
    Given an argumentation network with initial values to the arguments, we look for algorithms which can yield extensions compatible with such initial values. We find that the best way of tackling this problem is to offer an iteration formula that takes the initial values and the attack relation and iterates a sequence of intermediate values that eventually converges leading to an extension. The properties surrounding the application of the iteration formula and its connection with other numerical and non-numerical (...)
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  27.  44
    Numerical instability and dynamical systems.Vincent Ardourel & Julie Jebeile - 2021 - European Journal for Philosophy of Science 11 (2):1-21.
    In philosophical studies regarding mathematical models of dynamical systems, instability due to sensitive dependence on initial conditions, on the one side, and instability due to sensitive dependence on model structure, on the other, have by now been extensively discussed. Yet there is a third kind of instability, which by contrast has thus far been rather overlooked, that is also a challenge for model predictions about dynamical systems. This is the numerical instability due to the employment of numerical (...) involving a discretization process, where discretization is required to solve the differential equations of dynamical systems on a computer. We argue that the criteria for numerical stability, as usually provided by numerical analysis textbooks, are insufficient, and, after mentioning the promising development of backward analysis, we discuss to what extent, in practice, numerical instability can be controlled or avoided. (shrink)
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  28.  61
    Solving Numerically Ermakov-type Equation for Newtonian Cosmology Model with Vortex.Victor Christianto, Florentin Smarandache & Yunita Umniyati - manuscript
    It has been known for long time that most of the existing cosmology models have singularity problem. Cosmological singularity has been a consequence of excessive symmetry of flow, such as “Hubble’s law”. More realistic one is suggested, based on Newtonian cosmology model but here we include the vertical-rotational effect of the whole Universe. We review a Riccati-type equation obtained by Nurgaliev, and solve the equation numerically with Mathematica. It is our hope that the new proposed method can be verified with (...)
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  29. Numerals and quantifiers in X-bar syntax and their semantic interpretation.Henk J. Verkuyl - 1981 - In Jeroen A. G. Groenendijk, Theo M. V. Janssen & Martin B. Stokhof (eds.), Formal Methods in the Study of Language Volume 2. U of Amsterdam. pp. 567-599.
    The first aim of the paper is to show that under certain conditions generative syntax can be made suitable for Montague semantics, based on his type logic. One of the conditions is to make branching in the so-called X-bar syntax strictly binary, This makes it possible to provide an adequate semantics for Noun Phrases by taking them as referring to sets of collections of sets of entities ( type <ett,t>) rather than to sets of sets of entities (ett).
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  30.  9
    Remarks on the Form of Numbers, the Method of Using Them, and the Numerical Categories Found in the MahābhārataRemarks on the Form of Numbers, the Method of Using Them, and the Numerical Categories Found in the Mahabharata.E. Washburn Hopkins - 1902 - Journal of the American Oriental Society 23:109.
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  31.  82
    A Numerical Solution of Ermakov Equation Corresponding to Diffusion Interpretation of Wave Mechanics.Victor Christianto & Florentin Smarandache - manuscript
    It has been long known that a year after Schrödinger published his equation, Madelung also published a hydrodynamics version of Schrödinger equation. Quantum diffusion is studied via dissipative Madelung hydrodynamics. Initially the wave packet spreads ballistically, than passes for an instant through normal diffusion and later tends asymptotically to a sub‐diffusive law. In this paper we will review two different approaches, including Madelung hydrodynamics and also Bohm potential. Madelung formulation leads to diffusion interpretation, which after a generalization yields to Ermakov (...)
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  32.  13
    Numerical Approach for Solving the Fractional Pantograph Delay Differential Equations.Jalal Hajishafieiha & Saeid Abbasbandy - 2022 - Complexity 2022:1-10.
    A new class of polynomials investigates the numerical solution of the fractional pantograph delay ordinary differential equations. These polynomials are equipped with an auxiliary unknown parameter a, which is obtained using the collocation and least-squares methods. In this study, the numerical solution of the fractional pantograph delay differential equation is displayed in the truncated series form. The upper bound of the solution as well as the error analysis and the rate of convergence theorem are also investigated in (...)
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  33. Numerical testing of evolution theories.Nils Aall Barricelli - 1962 - Acta Biotheoretica 16 (1):69-98.
    An interpretive system for the IBM 704 computer permitting interpretation of the genetic pattern of a numeric symbioorganism as a game strategy has been developed. Selection for best performance in a simple game has been applied in a preliminary experiment. An objective method to measure the quality of a game played is described. The results presented in the article show a small but significant improvement of game quality during a period of 2300 generations.The general characteristics of the phenomena observed are (...)
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  34.  9
    Categorizing Numeric Information for Generalization.Michael Lebowitz - 1985 - Cognitive Science 9 (3):285-308.
    Learning programs that generalize from real‐world examples will have to deal with many different kinds of data. Continuous numeric data can cause problems for algorithms that search for examples with identical property values. These problems can be surmounted by categorizing the numeric data. However, this process has problems of its own. In this paper, we look at the need for categorizing numeric data and several methods for doing so. We concentrate on the use of generalization‐based memory, a memory organization (...)
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  35.  18
    Numerical Modeling and Investigation on Aerodynamic Noise Characteristics of Pantographs in High-Speed Trains.Xiaoqi Sun & Han Xiao - 2018 - Complexity 2018:1-12.
    Pantographs are important devices on high-speed trains. When a train runs at a high speed, concave and convex parts of the train cause serious airflow disturbances and result in flow separation, eddy shedding, and breakdown. A strong fluctuation pressure field will be caused and transformed into aerodynamic noises. When high-speed trains reach 300 km/h, aerodynamic noises become the main noise source. Aerodynamic noises of pantographs occupy a large proportion in far-field aerodynamic noises of the whole train. Therefore, the problem of (...)
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  36.  17
    Numerical solving of equations in the work of José Mariano Vallejo.Carlos-Oswaldo Suárez Alemán, F. Javier Pérez-Fernández & José-Miguel Pacheco Castelao - 2007 - Archive for History of Exact Sciences 61 (5):537-552.
    The progress of Mathematics during the nineteenth century was characterised both by an enormous acquisition of new knowledge and by the attempts to introduce rigour in reasoning patterns and mathematical writing. Cauchy’s presentation of Mathematical Analysis was not immediately accepted, and many writers, though aware of that new style, did not use it in their own mathematical production. This paper is devoted to an episode of this sort that took place in Spain during the first half of the century: It (...)
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  37.  7
    Numerical Investigation of the Nonlinear Coupled Fractional Massive Thirring Equation Using Two-Scale Approach.Jinxing Liu, Muhammad Nadeem, Mustafa Habib, Shazia Karim & Harun Or Roshid - 2022 - Complexity 2022:1-8.
    In this paper, we investigate the numerical solution of the coupled fractional massive Thirring equation with the aid of He’s fractional complex transform. This study plays a significant aspect in the field of quantum physics, weakly nonlinear thrilling waves, and nonlinear optics. The main advantage of FCT is that it converts the fractional differential equation into its traditional parts and is also capable to handle the fractional order, whereas the homotopy perturbation method is employed to tackle the nonlinear terms (...)
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  38. Well-Structured Biology: Numerical Taxonomy's Epistemic Vision for Systematics.Beckett Sterner - 2014 - In Andrew Hamilton (ed.), Patterns in Nature. University of California Press. pp. 213-244.
    What does it look like when a group of scientists set out to re-envision an entire field of biology in symbolic and formal terms? I analyze the founding and articulation of Numerical Taxonomy between 1950 and 1970, the period when it set out a radical new approach to classification and founded a tradition of mathematics in systematic biology. I argue that introducing mathematics in a comprehensive way also requires re-organizing the daily work of scientists in the field. Numerical (...)
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  39.  58
    Some School Books - 1. H. G. Lord: A Structural Latin Course. Book I. Pp. 272; 25 photographs, 5 drawings. London: University of London Press, 1951. Cloth, 6 s_. 6 _d_. - 2 and 3. Paul Crouzet: Nouvelle Méthode Latine. Pp. xiii + 390; 8 pp. of photographs, numerous drawings. Nouvelle Grammaire Latine. Pp. xx + 150. Paris: Marcel Didier, 1951. Boards, 800, 450 fr. - 4. William R. Murie: Lanx Satura. Pp. 28. London and Glasgow: Blackie, 1952. Paper, 1 _s_. - 5. J. M. Milne: An Anthology of Classical Latin. Pp. vii + 208. London and Glasgow: Blackie, 1952. Boards, 5 _s_. 6 _d[REVIEW]M. Edwards - 1953 - The Classical Review 3 (3-4):192-193.
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  40.  63
    Numerical evaluation of the validity of experimental proofs in biology.G. Albrecht-Buehler - 1976 - Synthese 33 (1):283 - 312.
    This paper suggests a method to calculate a degree of validity for the proof of a statement which is derived from empirical statements by means of logic conclusions. The empirical statements are assumed not to be completely valid or their validity to be doubtful. The suggested rules are consistent with two-valued logic, yield decreasing validities with increasing number of applications of modus ponens and obey the law of the excluded middle. The actual calculation of validity values, the relation of the (...)
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  41.  6
    Three-Dimensional Finite Element Numerical Simulation and Analysis of Solid-State Processing of Metal Material.Guang Su & Aimin Zhang - 2020 - Complexity 2020:1-12.
    Solid-state processing of metal material is a very complex physical and chemical process, which is coupled by a series of variations including heat transfer, momentum transfer, mass transfer, and phase change. Applying three-dimensional finite element numerical method to the simulation of solid-state processing can perform analysis of metal material’s forging processes before production trial production, can obtain their relevant information such as material flow law, temperature field, and strain field under the minimum physical test conditions, thereby predicting metal material’s (...)
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  42.  24
    Numerically solving physiological models based on a polynomial approach.F. Tudoret, A. Bardou & G. Carrault - 2001 - Acta Biotheoretica 49 (4):247-260.
    Much research effort has been directed in different physiological contexts towards describing realistic behaviors with differential equations. One observes obviously that more state-variables give the model more accuracy. Unfortunately, the computational cost involved is higher. A new algorithm is presented for simulating a model described by a system of differential equations in which efficiency may not be altered by its size. In order to do this, the method is based on a polynomial description of the state-variables' evolution and on a (...)
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  43.  9
    Numerical calculations in quantum field theories.Claudio Rebbi - 1984 - In Heinrich Mitter & Ludwig Pittner (eds.), Stochastic Methods and Computer Techniques in Quantum Dynamics. Springer Verlag. pp. 309--347.
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  44. Philosophical method and Galileo's paradox of infinity.Matthew W. Parker - 2008 - In Bart Van Kerkhove (ed.), New Perspectives on Mathematical Practices: Essays in Philosophy and History of Mathematics : Brussels, Belgium, 26-28 March 2007. World Scientfic.
    We consider an approach to some philosophical problems that I call the Method of Conceptual Articulation: to recognize that a question may lack any determinate answer, and to re-engineer concepts so that the question acquires a definite answer in such a way as to serve the epistemic motivations behind the question. As a case study we examine “Galileo’s Paradox”, that the perfect square numbers seem to be at once as numerous as the whole numbers, by one-to-one correspondence, and yet less (...)
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  45.  17
    Relational Syllogisms with Numerical Quantifiers and Beyond.Ka-fat Chow - 2021 - Journal of Logic, Language and Information 31 (1):1-34.
    In the first half of this paper, we present a fragment of relational syllogisms named RELSYLL consisting of quantified statements with a special set of numerical quantifiers, and introduce a number of concepts that are useful for the later sections, including indirect reduction, quantifier transformations and equivalence of syllogisms. After determining the valid and invalid syllogisms in RELSYLL, we then introduce two Derivation Methods which can be used to derive valid relational syllogisms based on known valid simple syllogisms. (...)
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  46.  99
    Comparing Methods for Single Paragraph Similarity Analysis.Benjamin Stone, Simon Dennis & Peter J. Kwantes - 2011 - Topics in Cognitive Science 3 (1):92-122.
    The focus of this paper is two-fold. First, similarities generated from six semantic models were compared to human ratings of paragraph similarity on two datasets—23 World Entertainment News Network paragraphs and 50 ABC newswire paragraphs. Contrary to findings on smaller textual units such as word associations (Griffiths, Tenenbaum, & Steyvers, 2007), our results suggest that when single paragraphs are compared, simple nonreductive models (word overlap and vector space) can provide better similarity estimates than more complex models (LSA, Topic Model, SpNMF, (...)
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  47.  49
    Formal Methods for Hopfield-Like Networks.Hedi Ben Amor, Fabien Corblin, Eric Fanchon, Adrien Elena, Laurent Trilling, Jacques Demongeot & Nicolas Glade - 2013 - Acta Biotheoretica 61 (1):21-39.
    Building a meaningful model of biological regulatory network is usually done by specifying the components and their interactions, by guessing the values of parameters, by comparing the predicted behaviors to the observed ones, and by modifying in a trial-error process both architecture and parameters in order to reach an optimal fitness. We propose here a different approach to construct and analyze biological models avoiding the trial-error part, where structure and dynamics are represented as formal constraints. We apply the method to (...)
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  48.  15
    Investigation of Speed Matching Affecting Contrarotating Fan’s Performance Using Wireless Sensor Network including Big Data and Numerical Simulation.Hengxuan Luan, Liyuan Weng, Ranhui Liu, Yuanzhong Luan & Dongmin Li - 2018 - Complexity 2018:1-12.
    This paper describes the investigations performed to better understand two-stage rotor speed matching in a contrarotating fan. In addition, this study develops a comprehensive measuring and communication system for a contrarotating fan using ZigBee network. The investigation method is based on three-dimensional RANS simulations; the RANS equations are solved by the numerical method in conjunction with a SST turbulence model. A wireless measurement system using big data method is first designed, and then a comparison is done with experimental measurements (...)
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  49.  6
    Multiple-Attribute Decision-Making Method Based on Normalized Geometric Aggregation Operators of Single-Valued Neutrosophic Hesitant Fuzzy Information.Li Wang & Yan-Ling Bao - 2021 - Complexity 2021:1-15.
    As a generalization of both single-valued neutrosophic element and hesitant fuzzy element, single-valued neutrosophic hesitant fuzzy element is an efficient tool for describing uncertain and imprecise information. Thus, it is of great significance to deal with single-valued neutrosophic hesitant fuzzy information for many practical problems. In this paper, we study the aggregation of SVNHFEs based on some normalized operations from geometric viewpoint. Firstly, two normalized operations are defined for processing SVNHFEs. Then, a series of normalized aggregation operators which fulfill some (...)
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  50.  28
    Quantitative evolution XV. numerical evolution.James Small - 1949 - Acta Biotheoretica 9 (1-2):1-40.
    Organic evolution, or change, among the diatoms has proceeded with considerable regularity. The origins, the extinctions, and the increases in numbers of species and genera, on the whole, have submitted to law and order, as rules-within-limits . The changes of evolution have followed from two sorts of phenomena — 1) the origin and extinction of shortlived or unstable species, in a proportion which has been more or less constant, but different in the two groups of diatoms, Centricae and Pennatae; these (...)
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