Challenging the Boundaries of Symbolic Computation
Challenging the Boundaries of Symbolic Computation

Author: Janet Carne

Publisher: Imperial College Press

Published: 2003

Total Pages: 438

ISBN-13: 9781848161313

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This volume consists of papers delivered at the International Mathematica Symposium 2003 OCo an interdisciplinary meeting bringing together users of Mathematica in research and education. It gathers research papers, reports on classroom practice, reports on the use of Mathematica in industry and commerce, and descriptions of fresh applications. List of contributors: J Nash, S Wolfram, R Maeder, B Buchberger and C McTague. Contents: Algebraic Computation; Applied Mathematics; Education; Physics; Pure Mathematics; Statistics and Probability; Visualisation; Miscellaneous. Readership: Users of Mathematica for research, education and industry; developers of Mathematica applications; users of symbolic computation methods."

Challenging The Boundaries Of Symbolic Computation (With Cd-rom), Proceedings Of The Fifth International Mathematica Symposium
Challenging The Boundaries Of Symbolic Computation (With Cd-rom), Proceedings Of The Fifth International Mathematica Symposium

Author: Philip Ramsden

Publisher: World Scientific

Published: 2003-06-02

Total Pages: 435

ISBN-13: 1783260955

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This volume consists of papers delivered at the International Mathematica Symposium 2003 — an interdisciplinary meeting bringing together users of Mathematica in research and education. It gathers research papers, reports on classroom practice, reports on the use of Mathematica in industry and commerce, and descriptions of fresh applications.List of contributors: J Nash, S Wolfram, R Maeder, B Buchberger and C McTague.

Intelligent Computer Mathematics
Intelligent Computer Mathematics

Author: Cezary Kaliszyk

Publisher: Springer

Published: 2019-07-02

Total Pages: 307

ISBN-13: 3030232506

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This book constitutes the refereed proceedings of the 12th International Conference on Intelligent Computer Mathematics, CICM 2019, held in Prague, Czech Republic, in July 2019. The 19 full papers presented were carefully reviewed and selected from a total of 41 submissions. The papers focus on digital and computational solutions which are becoming the prevalent means for the generation, communication, processing, storage and curation of mathematical information. Separate communities have developed to investigate and build computer based systems for computer algebra, automated deduction, and mathematical publishing as well as novel user interfaces. While all of these systems excel in their own right, their integration can lead to synergies offering significant added value.

Software Project Management
Software Project Management

Author: Ashfaque Ahmed

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 443

ISBN-13: 1439846561

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To build reliable, industry-applicable software products, large-scale software project groups must continuously improve software engineering processes to increase product quality, facilitate cost reductions, and adhere to tight schedules. Emphasizing the critical components of successful large-scale software projects, Software Project Management: A

Quantum Foundations
Quantum Foundations

Author: Pedro W. Lamberti

Publisher: MDPI

Published: 2019-04-02

Total Pages: 188

ISBN-13: 3038977543

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Since its conception 90 years ago, the quantum uncertainty principle introduced by Werner Heisenberg lies behind most important features of quantum physics, and its implications have an impact that goes far beyond the physics community. This book focuses on the quantum uncertainty principle, providing an up-to-date examination of recent developments of its applications in quantum information theory. The book brings together several renowned experts working in the foundations of quantum mechanics and quantum information theory. The authors provide different approaches to the study of uncertainty relations and other fundamental aspects of the quantum formalism. Topics addressed include entanglement and Bell inequalities, the application of entropic information measures to the study of uncertainty inequalities, the characterization of deep learning networks in the context of adiabatic quantum computation, and the study of general properties of the set of quantum states. The content of this book will surely benefit both experienced and new researchers specializing in quantum information theory and the foundations of quantum mechanics.

Computational Methods for Macromolecules: Challenges and Applications
Computational Methods for Macromolecules: Challenges and Applications

Author: Tamar Schlick

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 504

ISBN-13: 3642560806

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This special volume collects invited articles by participants of the Third International Workshop on Methods for Macromolecular Modeling, Courant Institute of Mathematical Sciences, Oct. 12-14, 2000. Leading developers of methods for biomolecular simulations review advances in Monte Carlo and molecular dynamics methods, free energy computational methods, fast electrostatics (particle-mesh Ewald and fast multipole methods), mathematics, and molecular neurobiology, nucleic acid simulations, enzyme reactions, and other essential applications in biomolecular simulations. A Perspectives article by the editors assesses the directions and impact of macromolecular modeling research, including genomics and proteomics. These reviews and original papers by applied mathematicians, theoretical chemists, biomedical researchers, and physicists are of interest to interdisciplinary research students, developers and users of biomolecular methods in academia and industry.

Mathematical Challenges from Theoretical/Computational Chemistry
Mathematical Challenges from Theoretical/Computational Chemistry

Author: Committee on Mathematical Challenges from Computational Chemistry

Publisher: National Academies Press

Published: 1995-04-12

Total Pages: 144

ISBN-13: 0309560640

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Computational methods are rapidly becoming major tools of theoretical, pharmaceutical, materials, and biological chemists. Accordingly, the mathematical models and numerical analysis that underlie these methods have an increasingly important and direct role to play in the progress of many areas of chemistry. This book explores the research interface between computational chemistry and the mathematical sciences. In language that is aimed at non-specialists, it documents some prominent examples of past successful cross-fertilizations between the fields and explores the mathematical research opportunities in a broad cross-section of chemical research frontiers. It also discusses cultural differences between the two fields and makes recommendations for overcoming those differences and generally promoting this interdisciplinary work.