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Books in Mathematics and applied mathematics

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61-70 of 2229 results in All results

Reliability Analysis and Plans for Successive Testing

  • 1st Edition
  • January 15, 2021
  • Narayanaswamy Balakrishnan + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 4 2 8 8 - 5
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 4 3 6 2 - 2
Reliability Analysis and Plans for Successive Testing: Start-up Demonstration Tests and Applications discusses all past and recent developments on start-up demonstration tests in the context of current numerical and illustrative examples to clarify available methods for distribution theorists and applied mathematicians dealing with control problems. Throughout the book, the authors focus on the panorama of open problems and issues of further interest. As contemporary manufacturers face tremendous commercial pressures to assemble works of high reliability, defined as ‘the probability of the product performing its role under the stated conditions and over a specified period of time’, this book helps address testing issues.

AI and Cloud Computing

  • 1st Edition
  • Volume 120
  • January 13, 2021
  • Suyel Namasudra + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 2 1 1 4 7 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 1 1 4 8 - 9
AI and Cloud Computing, Volume 120 in the Advances in Computers series, highlights new advances in the field, with this updated volume presenting interesting chapters on topics including A Deep-forest based Approach for Detecting Fraudulent Online Transaction, Design of Cyber-Physical-Social Systems with Forensic-awareness Based on Deep Learning, Review on Privacy-preserving Data Comparison Protocols in Cloud Computing, Fingerprint Liveness Detection Using an Improved CNN with the Spatial Pyramid Pooling Structure, Protecting Personal Sensitive Data Security in the Cloud with Blockchain, and more.

The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling

  • 1st Edition
  • January 9, 2021
  • Amit Kumar + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 9 5 8 2 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 3 1 5 8 - 6
The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling discusses the many factors affect reliability and performance, including engineering design, materials, manufacturing, operations, maintenance, and many more. Reliability is one of the fundamental criteria in engineering systems design, with maintenance serving as a way to support reliability throughout a system’s life. Addressing these issues requires information, modeling, analysis and testing. Different techniques are proposed and implemented to help readers analyze various behavior measures (in terms of the functioning and performance) of systems.

Mathematical Methods of Analytical Mechanics

  • 1st Edition
  • November 13, 2020
  • Henri Gouin
  • English
  • Hardback
    9 7 8 - 1 - 7 8 5 4 8 - 3 1 5 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 2 9 8 6 - 6
Mathematical Methods of Analytical Mechanics uses tensor geometry and geometry of variation calculation, includes the properties associated with Noether's theorem, and highlights methods of integration, including Jacobi's method, which is deduced. In addition, the book covers the Maupertuis principle that looks at the conservation of energy of material systems and how it leads to quantum mechanics. Finally, the book deduces the various spaces underlying the analytical mechanics which lead to the Poisson algebra and the symplectic geometry.

Advances in Mathematics for Industry 4.0

  • 1st Edition
  • October 2, 2020
  • Mangey Ram
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 8 9 0 6 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 8 9 0 7 - 8
Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods.

Calculus for Engineering Students

  • 1st Edition
  • August 10, 2020
  • Jesus Martin Vaquero + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 7 2 1 0 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 7 2 1 1 - 7
Calculus for Engineering Students: Fundamentals, Real Problems, and Computers insists that mathematics cannot be separated from chemistry, mechanics, electricity, electronics, automation, and other disciplines. It emphasizes interdisciplinary problems as a way to show the importance of calculus in engineering tasks and problems. While concentrating on actual problems instead of theory, the book uses Computer Algebra Systems (CAS) to help students incorporate lessons into their own studies. Assuming a working familiarity with calculus concepts, the book provides a hands-on opportunity for students to increase their calculus and mathematics skills while also learning about engineering applications.

Transmutations, Singular and Fractional Differential Equations with Applications to Mathematical Physics

  • 1st Edition
  • July 24, 2020
  • Elina Shishkina + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 9 7 8 1 - 3
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 0 4 0 7 - 8
Transmutations, Singular and Fractional Differential Equations with Applications to Mathematical Physics connects difficult problems with similar more simple ones. The book's strategy works for differential and integral equations and systems and for many theoretical and applied problems in mathematics, mathematical physics, probability and statistics, applied computer science and numerical methods. In addition to being exposed to recent advances, readers learn to use transmutation methods not only as practical tools, but also as vehicles that deliver theoretical insights.

Advances in Computers

  • 1st Edition
  • Volume 119
  • May 21, 2020
  • Suyel Namasudra
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 2 0 3 2 5 - 5
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 0 3 2 6 - 2
Advances in Computers, Volume 119, presents innovations in computer hardware, software, theory, design, and applications, with this updated volume including new chapters on Fast Execution of RDF Queries Using Apache Hadoop, A Study of DVFS Methodologies for Multicore Systems with Islanding Feature, Effectiveness of State-of-the-art Dynamic Analysis Techniques in Identifying Diverse Android Malware and Future Enhancements, Eyeing the Patterns: Data Visualization Using Doubly-Seriated Color Heatmaps, Eigenvideo for Video Indexing.

Programming Mathematics Using MATLAB

  • 1st Edition
  • May 9, 2020
  • Lisa A. Oberbroeckling
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 7 7 9 9 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 7 8 0 0 - 3
Providing an alternative to engineering-focused resources in the area, Programming Mathematics Using MATLAB® introduces the basics of programming and of using MATLAB® by highlighting many mathematical examples. Emphasizing mathematical concepts through the visualization of programming throughout the book, this useful resource utilizes examples that may be familiar to math students (such as numerical integration) and others that may be new (such as fractals). Additionally, the text uniquely offers a variety of MATLAB® projects, all of which have been class-tested thoroughly, and which enable students to put MATLAB® programming into practice while expanding their comprehension of concepts such as Taylor polynomials and the Gram–Schmidt process. Programming Mathematics Using MATLAB® is appropriate for readers familiar with sophomore-level mathematics (vectors, matrices, multivariable calculus), and is useful for math courses focused on MATLAB® specifically and those focused on mathematical concepts which seek to utilize MATLAB® in the classroom.

General Fractional Derivatives with Applications in Viscoelasticity

  • 1st Edition
  • April 3, 2020
  • Xiao-Jun Yang + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 7 2 0 8 - 7
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 7 2 0 9 - 4
General Fractional Derivatives with Applications in Viscoelasticity introduces the newly established fractional-order calculus operators involving singular and non-singular kernels with applications to fractional-order viscoelastic models from the calculus operator viewpoint. Fractional calculus and its applications have gained considerable popularity and importance because of their applicability to many seemingly diverse and widespread fields in science and engineering. Many operations in physics and engineering can be defined accurately by using fractional derivatives to model complex phenomena. Viscoelasticity is chief among them, as the general fractional calculus approach to viscoelasticity has evolved as an empirical method of describing the properties of viscoelastic materials. General Fractional Derivatives with Applications in Viscoelasticity makes a concise presentation of general fractional calculus.

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Abstract harmonic analysis

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