# Journal Of Computational Mathematics And Data Science

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## Issues in Logic Operations and Computational Mathematics and Geometry 2011 Edition

Author | : Anonim |

Publsiher | : ScholarlyEditions |

Total Pages | : 993 |

Release | : 2012-01-09 |

ISBN | : 1464964793 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Issues in Logic Operations and Computational Mathematics and Geometry 2011 Edition Book Excerpt:**

Issues in Logic, Operations, and Computational Mathematics and Geometry: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Logic, Operations, and Computational Mathematics and Geometry. The editors have built Issues in Logic, Operations, and Computational Mathematics and Geometry: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Logic, Operations, and Computational Mathematics and Geometry in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Logic, Operations, and Computational Mathematics and Geometry: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

## Issues in Logic Operations and Computational Mathematics and Geometry 2013 Edition

Author | : Anonim |

Publsiher | : ScholarlyEditions |

Total Pages | : 1225 |

Release | : 2013-05-01 |

ISBN | : 1490110119 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Issues in Logic Operations and Computational Mathematics and Geometry 2013 Edition Book Excerpt:**

Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Random Structures and Algorithms. The editors have built Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Random Structures and Algorithms in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

## Fuzzy Mathematical Analysis and Advances in Computational Mathematics

Author | : S. R. Kannan,Mark Last,Tzung-Pei Hong,Chun-Hao Chen |

Publsiher | : Springer Nature |

Total Pages | : 268 |

Release | : 2022-04-06 |

ISBN | : 9811904715 |

Category | : Technology & Engineering |

Language | : EN, FR, DE, ES & NL |

**Fuzzy Mathematical Analysis and Advances in Computational Mathematics Book Excerpt:**

The edited volume includes papers in the fields of fuzzy mathematical analysis and advances in computational mathematics. The fields of fuzzy mathematical analysis and advances in computational mathematics can provide valuable solutions to complex problems. They have been applied in multiple areas such as high dimensional data analysis, medical diagnosis, computer vision, hand-written character recognition, pattern recognition, machine intelligence, weather forecasting, network optimization, VLSI design, etc. The volume covers ongoing research in fuzzy and computational mathematical analysis and brings forward its recent applications to important real-world problems in various fields. The book includes selected high-quality papers from the International Conference on Fuzzy Mathematical Analysis and Advances in Computational Mathematics (FMAACM 2020).

## Operator Adapted Wavelets Fast Solvers and Numerical Homogenization

Author | : Houman Owhadi,Clint Scovel |

Publsiher | : Cambridge University Press |

Total Pages | : 497 |

Release | : 2019-10-31 |

ISBN | : 1108484360 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Operator Adapted Wavelets Fast Solvers and Numerical Homogenization Book Excerpt:**

Presents interplays between numerical approximation and statistical inference as a pathway to simple solutions to fundamental problems.

## Topological Data Analysis with Applications

Author | : Gunnar Carlsson,Mikael Vejdemo-Johansson |

Publsiher | : Cambridge University Press |

Total Pages | : 135 |

Release | : 2021-12-16 |

ISBN | : 1108983944 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Topological Data Analysis with Applications Book Excerpt:**

The continued and dramatic rise in the size of data sets has meant that new methods are required to model and analyze them. This timely account introduces topological data analysis (TDA), a method for modeling data by geometric objects, namely graphs and their higher-dimensional versions: simplicial complexes. The authors outline the necessary background material on topology and data philosophy for newcomers, while more complex concepts are highlighted for advanced learners. The book covers all the main TDA techniques, including persistent homology, cohomology, and Mapper. The final section focuses on the diverse applications of TDA, examining a number of case studies drawn from monitoring the progression of infectious diseases to the study of motion capture data. Mathematicians moving into data science, as well as data scientists or computer scientists seeking to understand this new area, will appreciate this self-contained resource which explains the underlying technology and how it can be used.

## Advances in Data Science

Author | : Ilke Demir,Yifei Lou,Xu Wang,Kathrin Welker |

Publsiher | : Springer Nature |

Total Pages | : 374 |

Release | : 2021 |

ISBN | : 3030798917 |

Category | : Calculus of tensors |

Language | : EN, FR, DE, ES & NL |

**Advances in Data Science Book Excerpt:**

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany. These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.

## Advanced Applications of Computational Mathematics

Author | : Akshay Kumar,Mangey Ram,Hari Mohan Srivastava |

Publsiher | : Unknown |

Total Pages | : 135 |

Release | : 2021-07-31 |

ISBN | : 9788770226059 |

Category | : Electronic Book |

Language | : EN, FR, DE, ES & NL |

**Advanced Applications of Computational Mathematics Book Excerpt:**

This book "Advanced Applications of Computational Mathematics" covers multidisciplinary studies containing advanced research in the field of computational and applied mathematics. The book includes research methodology, techniques, applications, and algorithms. The book will be very useful to advanced students, researchers and practitioners who are involved in the areas of computational and applied mathematics and engineering.

## Big Data Science in Finance

Author | : Irene Aldridge,Marco Avellaneda |

Publsiher | : John Wiley & Sons |

Total Pages | : 336 |

Release | : 2021-01-27 |

ISBN | : 111960298X |

Category | : Computers |

Language | : EN, FR, DE, ES & NL |

**Big Data Science in Finance Book Excerpt:**

Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners.

## Sparse Polynomial Approximation of High Dimensional Functions

Author | : Ben Adcock ,Simone Brugiapaglia,Clayton G. Webster |

Publsiher | : SIAM |

Total Pages | : 310 |

Release | : 2022-02-16 |

ISBN | : 161197688X |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Sparse Polynomial Approximation of High Dimensional Functions Book Excerpt:**

Over seventy years ago, Richard Bellman coined the term “the curse of dimensionality” to describe phenomena and computational challenges that arise in high dimensions. These challenges, in tandem with the ubiquity of high-dimensional functions in real-world applications, have led to a lengthy, focused research effort on high-dimensional approximation—that is, the development of methods for approximating functions of many variables accurately and efficiently from data. This book provides an in-depth treatment of one of the latest installments in this long and ongoing story: sparse polynomial approximation methods. These methods have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering. It begins with a comprehensive overview of best s-term polynomial approximation theory for holomorphic, high-dimensional functions, as well as a detailed survey of applications to parametric differential equations. It then describes methods for computing sparse polynomial approximations, focusing on least squares and compressed sensing techniques. Sparse Polynomial Approximation of High-Dimensional Functions presents the first comprehensive and unified treatment of polynomial approximation techniques that can mitigate the curse of dimensionality in high-dimensional approximation, including least squares and compressed sensing. It develops main concepts in a mathematically rigorous manner, with full proofs given wherever possible, and it contains many numerical examples, each accompanied by downloadable code. The authors provide an extensive bibliography of over 350 relevant references, with an additional annotated bibliography available on the book’s companion website (www.sparse-hd-book.com). This text is aimed at graduate students, postdoctoral fellows, and researchers in mathematics, computer science, and engineering who are interested in high-dimensional polynomial approximation techniques.

## Statistics and Data Science

Author | : Hien Nguyen |

Publsiher | : Springer Nature |

Total Pages | : 263 |

Release | : 2020-01-03 |

ISBN | : 9811519609 |

Category | : Computers |

Language | : EN, FR, DE, ES & NL |

**Statistics and Data Science Book Excerpt:**

This book constitutes the proceedings of the Research School on Statistics and Data Science, RSSDS 2019, held in Melbourne, VIC, Australia, in July 2019. The 11 papers presented in this book were carefully reviewed and selected from 23 submissions. The volume also contains 7 invited talks. The workshop brought together academics, researchers, and industry practitioners of statistics and data science, to discuss numerous advances in the disciplines and their impact on the sciences and society. The topics covered are data analysis, data science, data mining, data visualization, bioinformatics, machine learning, neural networks, statistics, and probability.

## Mathematics in Cyber Research

Author | : Paul L. Goethals,Natalie M. Scala,Daniel T. Bennett |

Publsiher | : CRC Press |

Total Pages | : 524 |

Release | : 2022-02-07 |

ISBN | : 1000542718 |

Category | : Business & Economics |

Language | : EN, FR, DE, ES & NL |

**Mathematics in Cyber Research Book Excerpt:**

In the last decade, both scholars and practitioners have sought novel ways to address the problem of cybersecurity. Innovative outcomes have included applications such as blockchain as well as creative methods for cyber forensics, software development, and intrusion prevention. Accompanying these technological advancements, discussion on cyber matters at national and international levels has focused primarily on the topics of law, policy, and strategy. The objective of these efforts is typically to promote security by establishing agreements among stakeholders on regulatory activities. Varying levels of investment in cyberspace, however, comes with varying levels of risk; in some ways, this can translate directly to the degree of emphasis for pushing substantial change. At the very foundation or root of cyberspace systems and processes are tenets and rules governed by principles in mathematics. Topics such as encrypting or decrypting file transmissions, modeling networks, performing data analysis, quantifying uncertainty, measuring risk, and weighing decisions or adversarial courses of action represent a very small subset of activities highlighted by mathematics. To facilitate education and a greater awareness of the role of mathematics in cyber systems and processes, a description of research in this area is needed. Mathematics in Cyber Research aims to familiarize educators and young researchers with the breadth of mathematics in cyber-related research. Each chapter introduces a mathematical sub-field, describes relevant work in this field associated with the cyber domain, provides methods and tools, as well as details cyber research examples or case studies. Features One of the only books to bring together such a diverse and comprehensive range of topics within mathematics and apply them to cyber research. Suitable for college undergraduate students or educators that are either interested in learning about cyber-related mathematics or intend to perform research within the cyber domain. The book may also appeal to practitioners within the commercial or government industry sectors. Most national and international venues for collaboration and discussion on cyber matters have focused primarily on the topics of law, policy, strategy, and technology. This book is among the first to address the underpinning mathematics.

## Journal of Computational Mathematics

Author | : Anonim |

Publsiher | : Unknown |

Total Pages | : 610 |

Release | : 1998 |

ISBN | : 1928374650XXX |

Category | : Electronic journals |

Language | : EN, FR, DE, ES & NL |

**Journal of Computational Mathematics Book Excerpt:**

## Issues in Logic Operations and Computational Mathematics and Geometry 2013 Edition

Author | : Anonim |

Publsiher | : ScholarlyEditions |

Total Pages | : 1225 |

Release | : 2013-05-01 |

ISBN | : 1490107495 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Issues in Logic Operations and Computational Mathematics and Geometry 2013 Edition Book Excerpt:**

Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Random Structures and Algorithms. The editors have built Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Random Structures and Algorithms in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

## An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces

Author | : Sergei Pereverzyev |

Publsiher | : Birkhäuser |

Total Pages | : 148 |

Release | : 2022-06-27 |

ISBN | : 9783030983154 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces Book Excerpt:**

This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on trends associated with deep neural networks. The author demonstrates how the concept of reproducing kernel Hilbert Spaces (RKHS), accompanied with tools from regularization theory, can be effectively used in the design and justification of kernel learning algorithms, which can address problems in several areas of artificial intelligence. Also provided is a detailed description of two biomedical applications of the considered algorithms, demonstrating how close the theory is to being practically implemented. Among the book’s several unique features is its analysis of a large class of algorithms of the Learning Theory that essentially comprise every linear regularization scheme, including Tikhonov regularization as a specific case. It also provides a methodology for analyzing not only different supervised learning problems, such as regression or ranking, but also different learning scenarios, such as unsupervised domain adaptation or reinforcement learning. By analyzing these topics using the same theoretical framework, rather than approaching them separately, their presentation is streamlined and made more approachable. An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces is an ideal resource for graduate and postgraduate courses in computational mathematics and data science.

## Sparse Solutions of Underdetermined Linear Systems and Their Applications

Author | : Ming-Jun Lai ,Yang Wang |

Publsiher | : SIAM |

Total Pages | : 135 |

Release | : 2021-06-25 |

ISBN | : 1611976510 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Sparse Solutions of Underdetermined Linear Systems and Their Applications Book Excerpt:**

This textbook presents a special solution to underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called a sparse solution. Since underdetermined linear systems can be very different, the authors explain how to compute a sparse solution using many approaches. Sparse Solutions of Underdetermined Linear Systems and Their Applications contains 64 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval and provides a detailed explanation of these algorithms including derivations and convergence analysis. Exercises for each chapter help readers understand the material. This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdoctoral scholars will also find the book interesting and useful.

## OCAML SCIENTIFIC COMPUTING

Author | : LIANG. ZHAO WANG (JIANXIN. MORTIER, RICHARD.) |

Publsiher | : Springer Nature |

Total Pages | : 135 |

Release | : 2022 |

ISBN | : 3030976459 |

Category | : Electronic Book |

Language | : EN, FR, DE, ES & NL |

**OCAML SCIENTIFIC COMPUTING Book Excerpt:**

## Transactions on Computational Science XXXIV

Author | : Marina L. Gavrilova,C.J. Kenneth Tan |

Publsiher | : Springer Nature |

Total Pages | : 137 |

Release | : 2019-08-28 |

ISBN | : 3662599589 |

Category | : Computers |

Language | : EN, FR, DE, ES & NL |

**Transactions on Computational Science XXXIV Book Excerpt:**

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. This, the 34th issue of the Transactions on Computational Science, contains seven in-depth papers focusing on research on data analytics using machine learning and pattern recognition, with applications in wireless networks, databases, and remotely sensed data.

## Snapshot Based Methods and Algorithms

Author | : Peter Benner,et al. |

Publsiher | : Walter de Gruyter GmbH & Co KG |

Total Pages | : 356 |

Release | : 2020-12-16 |

ISBN | : 3110671492 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Snapshot Based Methods and Algorithms Book Excerpt:**

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.

## Fulltext Sources Online

Author | : Anonim |

Publsiher | : Unknown |

Total Pages | : 1700 |

Release | : 2007-07 |

ISBN | : 1928374650XXX |

Category | : Information services |

Language | : EN, FR, DE, ES & NL |

**Fulltext Sources Online Book Excerpt:**

## High Energy Physics Index

Author | : Anonim |

Publsiher | : Unknown |

Total Pages | : 135 |

Release | : 1969 |

ISBN | : 1928374650XXX |

Category | : Particles (Nuclear physics) |

Language | : EN, FR, DE, ES & NL |

**High Energy Physics Index Book Excerpt:**