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    Algorithms and Complexity in Mathematics, Epistemology, and Science

Algorithms and Complexity in Mathematics, Epistemology, and Science

Nicolas Fillion
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      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. 
      Format: Hardback CONTRIBUTORS: Nicolas Fillion EAN: 9781493990504 COUNTRY: United States PAGES: WEIGHT: 629 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2019-02-08 CITY: GENRE: COMPUTERS / Data Science / General, MATHEMATICS / Counting & Numeration, MATHEMATICS / Combinatorics, PHILOSOPHY / Epistemology WIDTH: 155 cm SPINE:

      Book Themes:

      Numerical analysis, Maths for scientists, Philosophy: epistemology and theory of knowledge

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      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. 
      Format: Hardback CONTRIBUTORS: Nicolas Fillion EAN: 9781493990504 COUNTRY: United States PAGES: WEIGHT: 629 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2019-02-08 CITY: GENRE: COMPUTERS / Data Science / General, MATHEMATICS / Counting & Numeration, MATHEMATICS / Combinatorics, PHILOSOPHY / Epistemology WIDTH: 155 cm SPINE:

      Book Themes:

      Numerical analysis, Maths for scientists, Philosophy: epistemology and theory of knowledge

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      Be the first to write a review
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