Intelligent Mathematics Computational Analysis

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Intelligent Mathematics: Computational Analysis

Author : George A. Anastassiou
Publisher : Springer Science & Business Media
ISBN 13 : 3642170986
Total Pages : 793 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Intelligent Mathematics: Computational Analysis by : George A. Anastassiou

Download or read book Intelligent Mathematics: Computational Analysis written by George A. Anastassiou and published by Springer Science & Business Media. This book was released on 2011-03-19 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge can be modeled and computed using computational mathematical methods, then lead to real world conclusions. The strongly related to that Computational Analysis is a very large area with lots of applications. This monograph includes a great variety of topics of Computational Analysis. We present: probabilistic wavelet approximations, constrained abstract approximation theory, shape preserving weighted approximation, non positive approximations to definite integrals, discrete best approximation, approximation theory of general Picard singular operators including global smoothness preservation property, fractional singular operators. We also deal with non-isotropic general Picard singular multivariate operators and q-Gauss-Weierstrass singular q-integral operators. We talk about quantitative approximations by shift-invariant univariate and multivariate integral operators, nonlinear neural networks approximation, convergence with rates of positive linear operators, quantitative approximation by bounded linear operators, univariate and multivariate quantitative approximation by stochastic positive linear operators on univariate and multivariate stochastic processes. We further present right fractional calculus and give quantitative fractional Korovkin theory of positive linear operators. We also give analytical inequalities, fractional Opial inequalities, fractional identities and inequalities regarding fractional integrals. We further deal with semi group operator approximation, simultaneous Feller probabilistic approximation. We also present Fuzzy singular operator approximations. We give transfers from real to fuzzy approximation and talk about fuzzy wavelet and fuzzy neural networks approximations, fuzzy fractional calculus and fuzzy Ostrowski inequality. We talk about discrete fractional calculus, nabla discrete fractional calculus and inequalities. We study the q-inequalities, and q-fractional inequalities. We further study time scales: delta and nabla approaches, duality principle and inequalities. We introduce delta and nabla time scales fractional calculus and inequalities. We finally study convergence with rates of approximate solutions to exact solution of multivariate Dirichlet problem and multivariate heat equation, and discuss the uniqueness of solution of general evolution partial differential equation \ in multivariate time. The exposed results are expected to find applications to: applied and computational mathematics, stochastics, engineering, artificial intelligence, vision, complexity and machine learning. This monograph is suitable for graduate students and researchers.

Applied Mathematics and Computational Intelligence

Author : Anna M. Gil-Lafuente
Publisher : Springer
ISBN 13 : 331975792X
Total Pages : 439 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Applied Mathematics and Computational Intelligence by : Anna M. Gil-Lafuente

Download or read book Applied Mathematics and Computational Intelligence written by Anna M. Gil-Lafuente and published by Springer. This book was released on 2018-03-06 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the conference of the Forum for Interdisciplinary Mathematics (FIM), held at Palau Macaya, Barcelona, on 18 to 20 November, 2015. The event was co-organized by the University of Barcelona (Spain), the Spanish Royal Academy of Economic and Financial Sciences (Spain) and the Forum for Interdisciplinary Mathematics (India). This instalment of the conference was presented with the title “Applied Mathematics and Computational Intelligence” and particularly focused on the use of Mathematics and Computational Intelligence techniques in a diverse range of scientific disciplines, as well as their applications in real-world problems. The book presents thirty peer-reviewed research papers, organised into four topical sections: on Mathematical Foundations; Computational Intelligence and Optimization Techniques; Modelling and Simulation Techniques; and Applications in Business and Engineering. This book will be of great interest to anyone working in the area of applied mathematics and computational intelligence and will be especially useful for scientists and graduate students pursuing research in these fields.

Intelligent Computer Mathematics

Author : Fairouz Kamareddine
Publisher :
ISBN 13 : 9783030810986
Total Pages : 0 pages
Book Rating : 4.8/5 (19 download)

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Book Synopsis Intelligent Computer Mathematics by : Fairouz Kamareddine

Download or read book Intelligent Computer Mathematics written by Fairouz Kamareddine and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Computer Mathematics, CICM 2021, held in Timisoara, Romania, in July 2021*. The 12 full papers, 7 system descriptions, 1 system entry, and 3 abstracts of invited papers presented were carefully reviewed and selected from a total of 38 submissions. The papers focus on advances in formalization, automatic theorem proving and learning, search and classification, teaching and geometric reasoning, and logic and systems, among other topics. * The conference was held virtually due to the COVID-19 pandemic.

Intelligent Computer Mathematics

Author : Cezary Kaliszyk
Publisher : Springer
ISBN 13 : 3030232506
Total Pages : 307 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Intelligent Computer Mathematics by : Cezary Kaliszyk

Download or read book Intelligent Computer Mathematics written by Cezary Kaliszyk and published by Springer. This book was released on 2019-07-02 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems

Author : Yeliz Karaca
Publisher : Academic Press
ISBN 13 : 0323886167
Total Pages : 352 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems by : Yeliz Karaca

Download or read book Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems written by Yeliz Karaca and published by Academic Press. This book was released on 2022-06-22 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems addresses different uncertain processes inherent in the complex systems, attempting to provide global and robust optimized solutions distinctively through multifarious methods, technical analyses, modeling, optimization processes, numerical simulations, case studies as well as applications including theoretical aspects of complexity. Foregrounding Multi-chaos, Fractal and Multi-fractional in the era of Artificial Intelligence (AI), the edited book deals with multi- chaos, fractal, multifractional, fractional calculus, fractional operators, quantum, wavelet, entropy-based applications, artificial intelligence, mathematics-informed and data driven processes aside from the means of modelling, and simulations for the solution of multifaceted problems characterized by nonlinearity, non-regularity and self-similarity, frequently encountered in different complex systems. The fundamental interacting components underlying complexity, complexity thinking, processes and theory along with computational processes and technologies, with machine learning as the core component of AI demonstrate the enabling of complex data to augment some critical human skills. Appealing to an interdisciplinary network of scientists and researchers to disseminate the theory and application in medicine, neurology, mathematics, physics, biology, chemistry, information theory, engineering, computer science, social sciences and other far-reaching domains, the overarching aim is to empower out-of-the-box thinking through multifarious methods, directed towards paradoxical situations, uncertain processes, chaotic, transient and nonlinear dynamics of complex systems. Constructs and presents a multifarious approach for critical decision-making processes embodying paradoxes and uncertainty. Includes a combination of theory and applications with regard to multi-chaos, fractal and multi-fractional as well as AI of different complex systems and many-body systems. Provides readers with a bridge between application of advanced computational mathematical methods and AI based on comprehensive analyses and broad theories.

Computational and Statistical Methods in Intelligent Systems

Author : Radek Silhavy
Publisher : Springer
ISBN 13 : 303000211X
Total Pages : 399 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Computational and Statistical Methods in Intelligent Systems by : Radek Silhavy

Download or read book Computational and Statistical Methods in Intelligent Systems written by Radek Silhavy and published by Springer. This book was released on 2018-08-29 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents real-world problems and pioneering research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of intelligent systems. It gathers the peer-reviewed proceedings of the 2nd Computational Methods in Systems and Software 2018 (CoMeSySo 2018), a conference that broke down traditional barriers by being held online. The goal of the event was to provide an international forum for discussing the latest high-quality research results.

Computational Intelligence and Mathematics for Tackling Complex Problems

Author : László T Kóczy
Publisher : Springer
ISBN 13 : 3030160246
Total Pages : 200 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Computational Intelligence and Mathematics for Tackling Complex Problems by : László T Kóczy

Download or read book Computational Intelligence and Mathematics for Tackling Complex Problems written by László T Kóczy and published by Springer. This book was released on 2019-05-02 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book combines computational intelligence and mathematics to solve theoretical and real-world problems. The real challenges of engineering and other applied sciences, e.g. economics and management, the social sciences, etc., and even everyday life, are increasingly raising complex problems – both in the usual sense, but also in the mathematical and theoretical computer science sense, which is referred to as intractability. Finding exact solutions to the latest problems in mathematics is impossible, and it has been also shown that no further technical advance will ever make it possible to find general and exact solutions to such complex problems. Rather, the goal is to find solutions that are “good enough” or “acceptably accurate,” including models and corresponding algorithms, which is most often achieved by combining traditional mathematical techniques and computational intelligence tools, such as fuzzy systems, evolutionary and memetic algorithms, and artificial neural networks. Consequently, international funding programs, such as the European Commission’s current framework program for research and innovation (Horizon 2020), and the preliminary research team building COST Actions, are devoted to developing new instruments for tackling the challenges that we face in the current technological age. And it goes without saying that research topics concerning the interactions between computational intelligence and traditional mathematics play a key role in overcoming the obstacles associated with the intractability of complex problems. In this book, mathematicians, engineers, and other scientists highlight novel methodological results connecting these two main research areas, and focusing on solving real-life problems.

Intelligent Mathematics II: Applied Mathematics and Approximation Theory

Author : George A. Anastassiou
Publisher : Springer
ISBN 13 : 9783319303208
Total Pages : 0 pages
Book Rating : 4.3/5 (32 download)

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Book Synopsis Intelligent Mathematics II: Applied Mathematics and Approximation Theory by : George A. Anastassiou

Download or read book Intelligent Mathematics II: Applied Mathematics and Approximation Theory written by George A. Anastassiou and published by Springer. This book was released on 2016-03-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special volume is a collection of outstanding more applied articles presented in AMAT 2015 held in Ankara, May 28-31, 2015, at TOBB Economics and Technology University. The collection is suitable for Applied and Computational Mathematics and Engineering practitioners, also for related graduate students and researchers. Furthermore it will be a useful resource for all science and engineering libraries. This book includes 29 self-contained and well-edited chapters that can be among others useful for seminars in applied and computational mathematics, as well as in engineering.

Intelligent Analysis: Fractional Inequalities and Approximations Expanded

Author : George A. Anastassiou
Publisher : Springer Nature
ISBN 13 : 3030386368
Total Pages : 525 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Intelligent Analysis: Fractional Inequalities and Approximations Expanded by : George A. Anastassiou

Download or read book Intelligent Analysis: Fractional Inequalities and Approximations Expanded written by George A. Anastassiou and published by Springer Nature. This book was released on 2020-01-15 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on computational and fractional analysis, two areas that are very important in their own right, and which are used in a broad variety of real-world applications. We start with the important Iyengar type inequalities and we continue with Choquet integral analytical inequalities, which are involved in major applications in economics. In turn, we address the local fractional derivatives of Riemann–Liouville type and related results including inequalities. We examine the case of low order Riemann–Liouville fractional derivatives and inequalities without initial conditions, together with related approximations. In the next section, we discuss quantitative complex approximation theory by operators and various important complex fractional inequalities. We also cover the conformable fractional approximation of Csiszar’s well-known f-divergence, and present conformable fractional self-adjoint operator inequalities. We continue by investigating new local fractional M-derivatives that share all the basic properties of ordinary derivatives. In closing, we discuss the new complex multivariate Taylor formula with integral remainder. Sharing results that can be applied in various areas of pure and applied mathematics, the book offers a valuable resource for researchers and graduate students, and can be used to support seminars in related fields.

Computational Analysis of Terrorist Groups: Lashkar-e-Taiba

Author : V.S. Subrahmanian
Publisher : Springer Science & Business Media
ISBN 13 : 1461447690
Total Pages : 233 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Computational Analysis of Terrorist Groups: Lashkar-e-Taiba by : V.S. Subrahmanian

Download or read book Computational Analysis of Terrorist Groups: Lashkar-e-Taiba written by V.S. Subrahmanian and published by Springer Science & Business Media. This book was released on 2012-08-28 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Analysis of Terrorist Groups: Lashkar-e-Taiba provides an in-depth look at Web intelligence, and how advanced mathematics and modern computing technology can influence the insights we have on terrorist groups. This book primarily focuses on one famous terrorist group known as Lashkar-e-Taiba (or LeT), and how it operates. After 10 years of counter Al Qaeda operations, LeT is considered by many in the counter-terrorism community to be an even greater threat to the US and world peace than Al Qaeda. Computational Analysis of Terrorist Groups: Lashkar-e-Taiba is the first book that demonstrates how to use modern computational analysis techniques including methods for “big data” analysis. This book presents how to quantify both the environment in which LeT operate, and the actions it took over a 20-year period, and represent it as a relational database table. This table is then mined using sophisticated data mining algorithms in order to gain detailed, mathematical, computational and statistical insights into LeT and its operations. This book also provides a detailed history of Lashkar-e-Taiba based on extensive analysis conducted by using open source information and public statements. Each chapter includes a case study, as well as a slide describing the key results which are available on the authors’ web sites. Computational Analysis of Terrorist Groups: Lashkar-e-Taiba is designed for a professional market composed of government or military workers, researchers and computer scientists working in the web intelligence field. Advanced-level students in computer science will also find this valuable as a reference book.

Introduction To Computational Mathematics (2nd Edition)

Author : Xin-she Yang
Publisher : World Scientific Publishing Company
ISBN 13 : 9814635804
Total Pages : 342 pages
Book Rating : 4.8/5 (146 download)

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Book Synopsis Introduction To Computational Mathematics (2nd Edition) by : Xin-she Yang

Download or read book Introduction To Computational Mathematics (2nd Edition) written by Xin-she Yang and published by World Scientific Publishing Company. This book was released on 2014-11-26 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of contemporary numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and numerical algorithms. This edition covers all major topics in computational mathematics with a wide range of carefully selected numerical algorithms, ranging from the root-finding algorithm, numerical integration, numerical methods of partial differential equations, finite element methods, optimization algorithms, stochastic models, nonlinear curve-fitting to data modelling, bio-inspired algorithms and swarm intelligence. This book is especially suitable for both undergraduates and graduates in computational mathematics, numerical algorithms, scientific computing, mathematical programming, artificial intelligence and engineering optimization. Thus, it can be used as a textbook and/or reference book.

Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications

Author : Pankaj Srivastava
Publisher : Springer Nature
ISBN 13 : 9811951810
Total Pages : 349 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications by : Pankaj Srivastava

Download or read book Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications written by Pankaj Srivastava and published by Springer Nature. This book was released on 2023-01-02 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of selected papers presented at the 22nd FAI International Conference on Mathematical, Computational Intelligence and Engineering Approaches to Healthcare, Business and Tourism Analytics (FAI-ICMCIE 2020), held at American College, Madurai, India, from 20–22 December 2020. This book discusses advanced mathematical concepts and computational intelligence approaches for: medical diagnostic approach in cardiac diseases, nano topology in medical diseases, stability of indicators in assessing business development, AI-guided paradigmatic competence in science and spirituality integration, neural network-TOPSIS analytics in hotel service quality, itinerary planning destination ranking tourism analytics, molecular modeling and docking simulation for unraveling medicinal properties, value-oriented approach on commercial banks security, Brownian motion in shares of the bank, internet of things linking to social media and e-commerce, and more, which are discussed by using fuzzy analytics, nano-topology, statistical, TOPSIS and neural network tools.

Intelligent Routines

Author : George A. Anastassiou
Publisher : Springer Science & Business Media
ISBN 13 : 3642284752
Total Pages : 592 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Intelligent Routines by : George A. Anastassiou

Download or read book Intelligent Routines written by George A. Anastassiou and published by Springer Science & Business Media. This book was released on 2012-07-28 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real Analysis is a discipline of intensive study in many institutions of higher education, because it contains useful concepts and fundamental results in the study of mathematics and physics, of the technical disciplines and geometry. This book is the first one of its kind that solves mathematical analysis problems with all four related main software Matlab, Mathcad, Mathematica and Maple. Besides the fundamental theoretical notions, the book contains many exercises, solved both mathematically and by computer, using: Matlab 7.9, Mathcad 14, Mathematica 8 or Maple 15 programming languages. The book is divided into nine chapters, which illustrate the application of the mathematical concepts using the computer. Each chapter presents the fundamental concepts and the elements required to solve the problems contained in that chapter and finishes with some problems left to be solved by the readers. The calculations can be verified by using a specific software such as Matlab, Mathcad, Mathematica or Maple.

Trends in Mathematics and Computational Intelligence

Author : María Eugenia Cornejo
Publisher : Springer
ISBN 13 : 3030004856
Total Pages : 200 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Trends in Mathematics and Computational Intelligence by : María Eugenia Cornejo

Download or read book Trends in Mathematics and Computational Intelligence written by María Eugenia Cornejo and published by Springer. This book was released on 2018-10-08 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents appealing contributions on computational intelligence and mathematics, connecting both areas and offering solutions to a number of interesting, real-world problems. Such problems often require novel solutions, as complexity exceeds the tractable size. At the same time, the need for good-quality realistic solutions results in models and algorithms with a good balance of resource intensiveness and model quality (accuracy). Many areas of knowledge call for hybrid solutions that combine traditional mathematical techniques and computational intelligence based on subsymbolic knowledge representation. Important research topics are focused on developing the interaction between computational intelligence and mathematics, in order to address various challenges of the current technological age. Written by influential, leading researchers, this book discusses the latest trends in hybridising mathematics and computational intelligence.

Mathematical, Computational Intelligence and Engineering Approaches for Tourism, Agriculture and Healthcare

Author : Pankaj Srivastava
Publisher : Springer Nature
ISBN 13 : 9811638071
Total Pages : 358 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Mathematical, Computational Intelligence and Engineering Approaches for Tourism, Agriculture and Healthcare by : Pankaj Srivastava

Download or read book Mathematical, Computational Intelligence and Engineering Approaches for Tourism, Agriculture and Healthcare written by Pankaj Srivastava and published by Springer Nature. This book was released on 2021-10-19 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the 17th FAI International Conference on Engineering, Mathematical and Computational Intelligence (ICEMCI 2019), held at Jabalpur Engineering College, India, from 21–23 December 2019. This book discusses mathematical, computational intelligence and engineering approaches for tourism, agriculture and health care. It is a unique combination of a wide spectrum of topics, such as tourism destination ranking, medical diagnosis-based intelligent systems, drivers for hotel objectives, irrigation systems and more, which are discussed by using fuzzy, statistical and neural network tools. This book will be valuable to faculty members, postgraduate students, research scholars as well as readers from the industrial sector.

New Trends in Applied Analysis and Computational Mathematics

Author : Susanta Kumar Paikray
Publisher : Springer Nature
ISBN 13 : 9811614024
Total Pages : 322 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis New Trends in Applied Analysis and Computational Mathematics by : Susanta Kumar Paikray

Download or read book New Trends in Applied Analysis and Computational Mathematics written by Susanta Kumar Paikray and published by Springer Nature. This book was released on 2021-06-28 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume contains original research papers as the Proceedings of the International Conference on Advances in Mathematics and Computing, held at Veer Surendra Sai University of Technology, Odisha, India, on 7-8 February, 2020. It focuses on new trends in applied analysis, computational mathematics and related areas. It also includes certain new models, image analysis technique, fluid flow problems, etc. as applications of mathematical analysis and computational mathematics. The volume should bring forward new and emerging topics of mathematics and computing having potential applications and uses in other areas of sciences. It can serve as a valuable resource for graduate students, researchers and educators interested in mathematical tools and techniques for solving various problems arising in science and engineering.

Intelligent Numerical Methods: Applications to Fractional Calculus

Author : George A. Anastassiou
Publisher : Springer
ISBN 13 : 3319267213
Total Pages : 427 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Intelligent Numerical Methods: Applications to Fractional Calculus by : George A. Anastassiou

Download or read book Intelligent Numerical Methods: Applications to Fractional Calculus written by George A. Anastassiou and published by Springer. This book was released on 2015-12-07 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this monograph the authors present Newton-type, Newton-like and other numerical methods, which involve fractional derivatives and fractional integral operators, for the first time studied in the literature. All for the purpose to solve numerically equations whose associated functions can be also non-differentiable in the ordinary sense. That is among others extending the classical Newton method theory which requires usual differentiability of function. Chapters are self-contained and can be read independently and several advanced courses can be taught out of this book. An extensive list of references is given per chapter. The book’s results are expected to find applications in many areas of applied mathematics, stochastics, computer science and engineering. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also to be in all science and engineering libraries.