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Algorithms and Complexity in Mathematics, Epistemology, and Science: Proceedings of 2015 and 2016 ACMES Conferences de Nicolas Fillion

Algorithms and Complexity in Mathematics, Epistemology, and Science: Proceedings of 2015 and 2016 ACMES Conferences: Fields Institute Communications, cartea 82

Editat de Nicolas Fillion, Robert M. Corless, Ilias S. Kotsireas
en Limba Engleză Hardback – 8 feb 2019
ACMES (Algorithms and Complexity in Mathematics, Epistemology, and Science) is a multidisciplinary conference series that focuses on epistemological and mathematical issues relating to computation in modern science. This volume includes a selection of papers presented at the 2015 and 2016 conferences held at Western University that provide an interdisciplinary outlook on modern applied mathematics that draws from theory and practice, and situates it in proper context. These papers come from leading mathematicians, computational scientists, and philosophers of science, and cover a broad collection of mathematical and philosophical topics, including numerical analysis and its underlying philosophy, computer algebra, reliability and uncertainty quantification, computation and complexity theory, combinatorics, error analysis, perturbation theory, experimental mathematics, scientific epistemology, and foundations of mathematics. 

By bringing together contributions from researchers who approach the mathematical sciences from different perspectives, the volume will further readers' understanding of the multifaceted role of mathematics in modern science, informed by the state of the art in mathematics, scientific computing, and current modeling techniques. 

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Specificații

ISBN-13: 9781493990504
ISBN-10: 1493990500
Pagini: 306
Ilustrații: XI, 294 p. 53 illus., 28 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.61 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Springer
Seria Fields Institute Communications

Locul publicării:New York, NY, United States

Cuprins

Introduction.- Ethics and the Continuum Hypothesis (J.R. Brown).- How to Generate All Possible Rational Wilf-Zeilberger Pairs (S. Chen).- Backward Error Analysis for Perturbation Methods (R.M. Corless, N. Fillion).- Proof Verification Technology and Elementary Physics (E. Davis).- An Applied/Computational Mathematician's View of Uncertainty Quantification for Complex Systems (M. Gunzburger).- Dynamical Symmetries and Model Validation (B.C. Jantzen).- Modeling the Biases in Last Digit Distributions of Consecutive Primes (D. Lichtblau).- Computational Aspects of Hamburger's Theorem (Y. Matiyasevich).- Effective Validity: A Generalized Logic for Stable Approximate Inference (R.H.C. Moir).- Counterfactuals in the Real World (J. Woodward, M. Wilson).

Textul de pe ultima copertă

ACMES (Algorithms and Complexity in Mathematics, Epistemology, and Science) is a multidisciplinary conference series that focuses on epistemological and mathematical issues relating to computation in modern science. This volume includes a selection of papers presented at the 2015 and 2016 conferences held at Western University that provide an interdisciplinary outlook on modern applied mathematics that draws from theory and practice, and situates it in proper context. These papers come from leading mathematicians, computational scientists, and philosophers of science, and cover a broad collection of mathematical and philosophical topics, including numerical analysis and its underlying philosophy, computer algebra, reliability and uncertainty quantification, computation and complexity theory, combinatorics, error analysis, perturbation theory, experimental mathematics, scientific epistemology, and foundations of mathematics. 

By bringing together contributions from researchers who approach the mathematical sciences from different perspectives, the volume will further readers' understanding of the multifaceted role of mathematics in modern science, informed by the state of the art in mathematics, scientific computing, and current modeling techniques. 

Caracteristici

Features important perspectives on computational discovery and computational epistemology, and presents them in an accessible way Contains state of the art discussions by experts on a broad collection of topics that includes pure and applied mathematics, computer science, and philosophy of science Offers new and useful ways to contextualize the issues of reliability and reproducible of computation Contributes to building a network of scholars from varied backgrounds with interests in the multifaceted field of computational mathematics and epistemology