Results for 'Mathematical function'

983 found
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  1.  8
    Minimal Degrees of Unsolvability and the Full Approximation Construction.American Mathematical Society, Donald I. Cartwright, John Williford Duskin & Richard L. Epstein - 1975 - American Mathematical Soc..
    For the purposes of this monograph, "by a degree" is meant a degree of recursive unsolvability. A degree [script bold]m is said to be minimal if 0 is the unique degree less than [script bold]m. Each of the six chapters of this self-contained monograph is devoted to the proof of an existence theorem for minimal degrees.
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  2.  18
    A theory for the induction of mathematical functions.L. Rowell Huesmann & Chao-Ming Cheng - 1973 - Psychological Review 80 (2):126-138.
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  3.  88
    Functional explanation in mathematics.Matthew Inglis & Juan Pablo Mejía Ramos - 2019 - Synthese 198 (26):6369-6392.
    Mathematical explanations are poorly understood. Although mathematicians seem to regularly suggest that some proofs are explanatory whereas others are not, none of the philosophical accounts of what such claims mean has become widely accepted. In this paper we explore Wilkenfeld’s suggestion that explanations are those sorts of things that generate understanding. By considering a basic model of human cognitive architecture, we suggest that existing accounts of mathematical explanation are all derivable consequences of Wilkenfeld’s ‘functional explanation’ proposal. We therefore (...)
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  4. Methods and Software for Computing Mathematical Functions-A Matlab Implementation of an Algorithm for Computing Integrals of Products of Bessel Functions.Joris Van Deun & Ronald Cools - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes In Computer Science. Springer Verlag. pp. 284-295.
     
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  5.  29
    Intrinsic functionality of mathematics, metafunctions in Systemic Functional Semiotics.Y. J. Doran - 2018 - Semiotica 2018 (225):457-487.
    Name der Zeitschrift: Semiotica Jahrgang: 2018 Heft: 225 Seiten: 457-487.
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  6.  13
    The Foundations of Intuitionistic Mathematics: Especially in Relation to Recursive Functions.Stephen Cole Kleene & Richard Eugene Vesley - 1965 - Amsterdam: North-Holland Pub. Co.. Edited by Richard Eugene Vesley.
  7.  9
    The foundations of mathematics as a study of life: an effective but non-recursive function.Mark van Atten - 2008 - Progress in Theoretical Physics 173:38-47.
    The Dutch mathematician and philosopher L. E. J. Brouwer (1881-1966) developed a foundation for mathematics called 'intuitionism'. Intuitionism considers mathematics to consist in acts of mental construction based on internal time awareness. According to Brouwer, that awareness provides the fundamental structure to all exact thinking. In this note, it will be shown how this strand of thought leads to an intuitionistic function that is effectively computable yet non-recursive.
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  8. Mathematics is a useful guide to brain function.Thomas L. Clarke - 1992 - Behavioral and Brain Sciences 15 (4):726-727.
     
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  9. Mathematics: Form and Function.Saunders Mac Lane - 1990 - Studia Logica 49 (3):424-426.
     
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  10.  11
    Editorial: Mathematical, Computational, and Empirical Approaches to Exploring Neuronal Mechanisms Underlying Cognitive Functions.Vipin Srivastava & David J. Parker - 2022 - Frontiers in Human Neuroscience 16.
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  11.  62
    (1 other version)Mathematically strong subsystems of analysis with low rate of growth of provably recursive functionals.Ulrich Kohlenbach - 1996 - Archive for Mathematical Logic 36 (1):31-71.
  12.  75
    Computability: Computable Functions, Logic, and the Foundations of Mathematics.Richard L. Epstein - 2004
    This book is dedicated to a classic presentation of the theory of computable functions in the context of the foundations of mathematics. Part I motivates the study of computability with discussions and readings about the crisis in the foundations of mathematics in the early 20th century, while presenting the basic ideas of whole number, function, proof, and real number. Part II starts with readings from Turing and Post leading to the formal theory of recursive functions. Part III presents sufficient (...)
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  13.  18
    The function [mathematical formula] in sharply bounded arithmetic.Mitsuru Tada & Makoto Tatsuta - 1997 - Archive for Mathematical Logic 36 (1).
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  14.  29
    Reverse mathematics and rank functions for directed graphs.Jeffry L. Hirst - 2000 - Archive for Mathematical Logic 39 (8):569-579.
    A rank function for a directed graph G assigns elements of a well ordering to the vertices of G in a fashion that preserves the order induced by the edges. While topological sortings require a one-to-one matching of vertices and elements of the ordering, rank functions frequently must assign several vertices the same value. Theorems stating basic properties of rank functions vary significantly in logical strength. Using the techniques of reverse mathematics, we present results that require the subsystems ${\ensuremath{\vec{RCA}_0}}$ (...)
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  15.  60
    The Dirac delta function in two settings of Reverse Mathematics.Sam Sanders & Keita Yokoyama - 2012 - Archive for Mathematical Logic 51 (1-2):99-121.
    The program of Reverse Mathematics (Simpson 2009) has provided us with the insight that most theorems of ordinary mathematics are either equivalent to one of a select few logical principles, or provable in a weak base theory. In this paper, we study the properties of the Dirac delta function (Dirac 1927; Schwartz 1951) in two settings of Reverse Mathematics. In particular, we consider the Dirac Delta Theorem, which formalizes the well-known property \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} (...)
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  16.  2
    Relational and functional thinking in mathematics.Herbert Russell Hamley - 1934 - New York City,: Bureau of Publications, Teachers College, Columbia University.
    Carnegie explains why she's late for school--a tiger jumped in her window.
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  17.  43
    The Instructive Function of Mathematical Proof: A Case Study of the Analysis cum Synthesis method in Apollonius of Perga’s Conics.Linden Anne Duffee - 2021 - Axiomathes 31 (5):601-617.
    This essay discusses the instructional value of mathematical proofs using different interpretations of the analysis cum synthesis method in Apollonius’ Conics as a case study. My argument is informed by Descartes’ complaint about ancient geometers and William Thurston’s discussion on how mathematical understanding is communicated. Three historical frameworks of the analysis/synthesis distinction are used to understand the instructive function of the analysis cum synthesis method: the directional interpretation, the structuralist interpretation, and the phenomenological interpretation. I apply these (...)
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  18.  51
    Sequences of real functions on [0, 1] in constructive reverse mathematics.Hannes Diener & Iris Loeb - 2009 - Annals of Pure and Applied Logic 157 (1):50-61.
    We give an overview of the role of equicontinuity of sequences of real-valued functions on [0,1] and related notions in classical mathematics, intuitionistic mathematics, Bishop’s constructive mathematics, and Russian recursive mathematics. We then study the logical strength of theorems concerning these notions within the programme of Constructive Reverse Mathematics. It appears that many of these theorems, like a version of Ascoli’s Lemma, are equivalent to fan-theoretic principles.
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  19.  54
    Mathematics, Form and Function.Saunders MacLane - 1986 - Journal of Philosophy 84 (1):33-37.
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  20.  29
    Mathematical Basis of Predicting Dominant Function in Protein Sequences by a Generic HMM–ANN Algorithm.Siddhartha Kundu - 2018 - Acta Biotheoretica 66 (2):135-148.
    The accurate annotation of an unknown protein sequence depends on extant data of template sequences. This could be empirical or sets of reference sequences, and provides an exhaustive pool of probable functions. Individual methods of predicting dominant function possess shortcomings such as varying degrees of inter-sequence redundancy, arbitrary domain inclusion thresholds, heterogeneous parameterization protocols, and ill-conditioned input channels. Here, I present a rigorous theoretical derivation of various steps of a generic algorithm that integrates and utilizes several statistical methods to (...)
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  21.  44
    Mathematics, sex hormones, and brain function.Helmuth Nyborg - 1988 - Behavioral and Brain Sciences 11 (2):206-207.
  22.  34
    Derivatives of normal functions in reverse mathematics.Anton Freund & Michael Rathjen - 2021 - Annals of Pure and Applied Logic 172 (2):102890.
  23.  14
    An Introduction to Mathematical Reasoning: Lectures on Numbers, Sets, and Functions.Peter J. Eccles - 1997 - Cambridge University Press.
    The purpose of this book is to introduce the basic ideas of mathematical proof to students embarking on university mathematics. The emphasis is on helping the reader in understanding and constructing proofs and writing clear mathematics. This is achieved by exploring set theory, combinatorics and number theory, topics which include many fundamental ideas which are part of the tool kit of any mathematician. This material illustrates how familiar ideas can be formulated rigorously, provides examples demonstrating a wide range of (...)
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  24.  77
    Intuition in mathematics : on the function of eidetic variation in mathematical proofs.Dieter Lohmar - 2010 - In Mirja Hartimo (ed.), Phenomenology and mathematics. London: Springer. pp. 73--90.
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  25.  41
    Executive function in learning mathematics by comparison: incorporating everyday classrooms into the science of learning.Kreshnik Nasi Begolli, Lindsey Engle Richland, Susanne M. Jaeggi, Emily McLaughlin Lyons, Ellen C. Klostermann & Bryan J. Matlen - 2018 - Thinking and Reasoning 24 (2):280-313.
  26.  71
    What could mathematics be for it to function in distinctively mathematical scientific explanations?Marc Lange - 2021 - Studies in History and Philosophy of Science Part A 87 (C):44-53.
    Several philosophers have suggested that some scientific explanations work not by virtue of describing aspects of the world’s causal history and relations, but rather by citing mathematical facts. This paper investigates what mathematical facts could be in order for them to figure in such “distinctively mathematical” scientific explanations. For “distinctively mathematical explanations” to be explanations by constraint, mathematical language cannot operate in science as representationalism or platonism describes. It can operate as Aristotelian realism describes. That (...)
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  27.  76
    The heuristic function of mathematics in physics and astronomy.Stojan Obradović & Slobodan Ninković - 2009 - Foundations of Science 14 (4):351-360.
    This paper considers the role of mathematics in the process of acquiring new knowledge in physics and astronomy. The defining of the notions of continuum and discreteness in mathematics and the natural sciences is examined. The basic forms of representing the heuristic function of mathematics at theoretical and empirical levels of knowledge are studied: deducing consequences from the axiomatic system of theory, the method of generating mathematical hypotheses, “pure” proofs for the existence of objects and processes, mathematical (...)
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  28.  27
    Recursive Functions and Intuitionistic Mathematics.S. C. Kleene - 1953 - Journal of Symbolic Logic 18 (2):181-182.
  29. Social Construction, Mathematics, and the Collective Imposition of Function onto Reality.Julian C. Cole - 2015 - Erkenntnis 80 (6):1101-1124.
    Stereotypes of social construction suggest that the existence of social constructs is accidental and that such constructs have arbitrary and subjective features. In this paper, I explore a conception of social construction according to which it consists in the collective imposition of function onto reality and show that, according to this conception, these stereotypes are incorrect. In particular, I argue that the collective imposition of function onto reality is typically non-accidental and that the products of such imposition frequently (...)
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  30.  40
    Applications of Functional Near-Infrared Spectroscopy in Studying Cognitive Development: The Case of Mathematics and Language.Mojtaba Soltanlou, Maria A. Sitnikova, Hans-Christoph Nuerk & Thomas Dresler - 2018 - Frontiers in Psychology 9.
  31.  17
    Computability. Computable Functions, Logic, and the Foundations of Mathematics. Second Edition of the Preceding.Carlos Augusto Di Prisco, Richard L. Epstein & Walter A. Carnielli - 2002 - Bulletin of Symbolic Logic 8 (1):101.
  32.  42
    Duthie William D.. Boolean functions of bounded variation. Duke mathematical journal, vol. 4 , pp. 600–606.J. C. C. McKinsey - 1938 - Journal of Symbolic Logic 3 (4):164-165.
  33.  17
    A characterization of the [mathematical formula]-definable functions of [mathematical formula].Wolfgang Burr & Volker Hartung - 1997 - Archive for Mathematical Logic 36 (3).
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  34.  18
    Knowledge of functions in the growth of mathematical knowledge.Jaakko Hintikka - 2000 - In Emily Grosholz & Herbert Breger (eds.), The growth of mathematical knowledge. Boston: Kluwer Academic Publishers. pp. 1--15.
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  35.  45
    Dag Normann. Degrees of functionals. Annals of mathematical logic, vol. 16 , pp. 269–304.E. R. Griffor - 1983 - Journal of Symbolic Logic 48 (1):212-213.
  36.  19
    Lipschitz functions in constructive reverse mathematics.I. Loeb - 2013 - Logic Journal of the IGPL 21 (1):28-43.
  37.  11
    The alleged Truth-Functional Nature of Mathematical Logic.Niels Egmont Christensen - 1964 - Memorias Del XIII Congreso Internacional de Filosofía 5:77-86.
  38.  40
    Computability. Computable Functions, Logic, and the Foundations of Mathematics.Richard L. Epstein & Walter A. Carnielli - 2002 - Bulletin of Symbolic Logic 8 (1):101-104.
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  39. “The term ‘function’ has no place outside mathematics”: is this even coherent?Terence Rajivan Edward - manuscript
    This paper argues that a criticism attributed to Gregory Bateson – that the term ‘function’ is from mathematics and has no place in social science – looks incoherent, when subject to clarification.
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  40.  41
    The Form and Function of Duality in Modern Mathematics.Ralf Krömer & David Corfield - unknown
    Phenomena covered by the term duality occur throughout the history of mathematics in all of its branches, from the duality of polyhedra to Langlands duality. By looking to an “internal epistemology” of duality, we try to understand the gains mathematicians have found in exploiting dual situations. We approach these questions by means of a category theoretic understanding. Following Mac Lane and Lawvere-Rosebrugh, we distinguish between “axiomatic” or “formal” (or Gergonne-type) dualities on the one hand and “functional” or “concrete” (or Poncelet-type) (...)
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  41.  30
    A Non-Truth-Functional Interpretation of Mathematical Logic.Niels Egmont Christensen - 1965 - Analysis 25 (Suppl-3):129 - 132.
  42.  55
    (1 other version)Optimized Gamma Synchronization Enhances Functional Binding of Fronto-Parietal Cortices in Mathematically Gifted Adolescents during Deductive Reasoning.Li Zhang, John Q. Gan & Haixian Wang - 2014 - Frontiers in Human Neuroscience 8.
  43.  26
    Interactions Between Mathematics and Physics: The History of the Concept of Function—Teaching with and About Nature of Mathematics.Ricardo Karam - 2015 - Science & Education 24 (5-6):543-559.
    In this paper, we discuss the history of the concept of function and emphasize in particular how problems in physics have led to essential changes in its definition and application in mathematical practices. Euler defined a function as an analytic expression, whereas Dirichlet defined it as a variable that depends in an arbitrary manner on another variable. The change was required when mathematicians discovered that analytic expressions were not sufficient to represent physical phenomena such as the vibration (...)
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  44.  27
    Mathematics: Form and Function by Saunders MacLane. [REVIEW]Colin McLarty - 1987 - Journal of Philosophy 84 (1):33-37.
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  45.  58
    Towards a systemic functional analysis of multisemiotic mathematics texts.Kay O’Halloran - 1999 - Semiotica 124 (1-2):1-30.
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  46.  35
    F. J. Sansone. Combinatorial functions and regressive isols. Pacific journal of mathematics, vol. 13 , pp. 703–707.Louise Hay - 1968 - Journal of Symbolic Logic 33 (1):113-114.
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  47.  44
    Visuospatial and mathematical dysfunction in major depressive disorder and/or panic disorder: A study of parietal functioning.Brady D. Nelson & Stewart A. Shankman - 2016 - Cognition and Emotion 30 (3):417-429.
  48.  25
    Experimental mathematics.V. I. Arnolʹd - 2015 - Providence. Rhode Island: American Mathematical Society. Edited by D. B. Fuks & Mark E. Saul.
    One of the traditional ways mathematical ideas and even new areas of mathematics are created is from experiments. One of the best-known examples is that of the Fermat hypothesis, which was conjectured by Fermat in his attempts to find integer solutions for the famous Fermat equation. This hypothesis led to the creation of a whole field of knowledge, but it was proved only after several hundred years. This book, based on the author's lectures, presents several new directions of (...) research. All of these directions are based on numerical experiments conducted by the author, which led to new hypotheses that currently remain open, i.e., are neither proved nor disproved. The hypotheses range from geometry and topology (statistics of plane curves and smooth functions) to combinatorics (combinatorial complexity and random permutations) to algebra and number theory (continuous fractions and Galois groups). For each subject, the author describes the problem and presents numerical results that led him to a particular conjecture. In the majority of cases there is an indication of how the readers can approach the formulated conjectures (at least by conducting more numerical experiments). Written in Arnold's unique style, the book is intended for a wide range of mathematicians, from high school students interested in exploring unusual areas of mathematics on their own, to college and graduate students, to researchers interested in gaining a new, somewhat nontraditional perspective on doing mathematics. In the interest of fostering a greater awareness and appreciation of mathematics and its connections to other disciplines and everyday life, MSRI and the AMS are publishing books in the Mathematical Circles Library series as a service to young people, their parents and teachers, and the mathematics profession. Titles in this series are co-published with the Mathematical Sciences Research Institute (MSRI). (shrink)
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  49.  53
    Early Executive Function at Age Two Predicts Emergent Mathematics and Literacy at Age Five.Hanna Mulder, Josje Verhagen, Sanne H. G. Van der Ven, Pauline L. Slot & Paul P. M. Leseman - 2017 - Frontiers in Psychology 8.
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  50.  34
    Foundations of a theorem prover for functional and mathematical uses.Javier Leach & Susana Nieva - 1993 - Journal of Applied Non-Classical Logics 3 (1):7-38.
    ABSTRACT A computational logic, PLPR (Predicate Logic using Polymorphism and Recursion) is presented. Actually this logic is the object language of an automated deduction system designed as a tool for proving mathematical theorems as well as specify and verify properties of functional programs. A useful denotationl semantics and two general deduction methods for PLPR are defined. The first one is a tableau algorithm proved to be complete and also used as a guideline for building complete calculi. The second is (...)
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