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1 Wojcieszyn, Filip Introduction to Quantum Computing with Q# and QDK I12558 2022 Book  
2 Shestopalov, Yury Optical Waveguide Theory I12517 2022 Book  
3 Steinhauser, Martin Oliver Computational Multiscale Modeling of Fluids and Solids I12437 2022 Book  
4 Milstein, Grigori N Stochastic Numerics for Mathematical Physics I11924 2021 eBook  
5 Yang, Zining Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas I11848 2021 eBook  
6 Kogler, Roman Advances in Jet Substructure at the LHC I11759 2021 eBook  
7 Schweizer, Wolfgang Special Functions in Physics with MATLAB I11728 2021 eBook  
8 Vasile, Massimiliano Optimization Under Uncertainty with Applications to Aerospace Engineering I11723 2021 eBook  
9 ??chsner, Andreas Structural Mechanics with a Pen I11721 2021 eBook  
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TitleIntroduction to Quantum Computing with Q# and QDK
Author(s)Wojcieszyn, Filip
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2022.
DescriptionXVI, 280 p. 57 illus., 8 illus. in color : online resource
Abstract NoteThis book introduces the fundamentals of the theory of quantum computing, illustrated with code samples written in Q#, a quantum-specific programming language, and its related Quantum Development Kit. Quantum computing (QC) is a multidisciplinary field that sits at the intersection of quantum physics, quantum information theory, computer science and mathematics, and which may revolutionize the world of computing and software engineering. The book begins by covering historical aspects of quantum theory and quantum computing, as well as offers a gentle, algebra-based, introduction to quantum mechanics, specifically focusing on concepts essential for the field of quantum programming. Quantum state description, state evolution, quantum measurement and the Bell???s theorem are among the topics covered. The readers also get a tour of the features of Q# and familiarize themselves with the QDK. Next, the core QC topics are discussed, complete with the necessary mathematical formalism. This includes the notions of qubit, quantum gates and quantum circuits. In addition to that, the book provides a detailed treatment of a series of important concepts from quantum information theory, in particular entanglement and the no-cloning theorem, followed by discussion about quantum key distribution and its various protocols. Finally, the canon of most important QC algorithms and algorithmic techniques is covered in-depth - from the Deutsch-Jozsa algorithm, through Grover???s search, to Quantum Fourier Transform, quantum phase estimation and Shor???s algorithm. The book is an accessible introduction into the vibrant and fascinating field of quantum computing, offering a blend of academic diligence with pragmatism that is so central to software development world. All of the discussed theoretical aspects of QC are accompanied by runnable code examples, providing the reader with two different angles - mathematical and programmatic - of looking at the same problem space.
ISBN,Price9783030993795
Keyword(s)1. Computational Mathematics and Numerical Analysis 2. EBOOK 3. EBOOK - SPRINGER 4. Mathematics???Data processing 5. Microsoft 6. Microsoft .NET Framework 7. Microsoft software 8. PROGRAMMING LANGUAGE 9. Programming languages (Electronic computers) 10. QUANTUM COMPUTERS 11. Quantum computing 12. QUANTUM INFORMATION
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TitleOptical Waveguide Theory : Mathematical Models, Spectral Theory and Numerical Analysis
Author(s)Shestopalov, Yury;Smirnov, Yury;Smolkin, Eugene
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2022.
DescriptionX, 260 p. 27 illus., 21 illus. in color : online resource
Abstract NoteThis book addresses the most advanced to-date mathematical approach and numerical methods in electromagnetic field theory and wave propagation. It presents the application of developed methods and techniques to the analysis of waves in various guiding structures ???shielded and open metal-dielectric waveguides of arbitrary cross-section, planar and circular waveguides filled with inhomogeneous dielectrics, metamaterials, chiral media, anisotropic media and layered media with absorption. It also looks into spectral properties of wave propagation for the waveguide families being considered, and the relevant mathematical techniques such as spectral theory of non-self-adjoint operator-valued functions are described, including rigorous proofs of the existence of various types of waves. Further, numerical methods constructed on the basis of the presented mathematical approach and the results of numerical modeling for various structures are also described in depth. The book is beneficial to a broad spectrum of readers ranging from pure and applied mathematicians in electromagnetic field theory to researchers and engineers who are familiar with mathematics. Further, it is also useful as a supplementary text for upper-level undergraduate students interested in learning more advanced topics of mathematical methods in electromagnetics
ISBN,Price9789811905841
Keyword(s)1. CLASSICAL ELECTRODYNAMICS 2. Classical Optics, Geometric and Wave optics 3. Computational Mathematics and Numerical Analysis 4. EBOOK 5. EBOOK - SPRINGER 6. Electrical and Electronic Engineering 7. ELECTRICAL ENGINEERING 8. ELECTRODYNAMICS 9. GEOMETRICAL OPTICS 10. MATHEMATICAL PHYSICS 11. Mathematics???Data processing 12. Metamaterials 13. Theoretical, Mathematical and Computational Physics 14. Wave theory of light
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TitleComputational Multiscale Modeling of Fluids and Solids : Theory and Applications
Author(s)Steinhauser, Martin Oliver
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2022.
DescriptionXXVII, 432 p. 145 illus., 55 illus. in color : online resource
Abstract NoteThe expanded 3rd edition of this established textbook offers an updated overview and review of the computational physics techniques used in materials modelling over different length and time scales. It describes in detail the theory and application of some of the most important methods used to simulate materials across the various levels of spatial and temporal resolution. Quantum mechanical methods such as the Hartree-Fock approximation for solving the Schr??dinger equation at the smallest spatial resolution are discussed as well as the Molecular Dynamics and Monte-Carlo methods on the micro- and meso-scale up to macroscopic methods used predominantly in the Engineering world such as Finite Elements (FE) or Smoothed Particle Hydrodynamics (SPH). Extensively updated throughout, this new edition includes additional sections on polymer theory, statistical physics and continuum theory, the latter being the basis of FE methods and SPH. Each chapter now first provides an overview of the key topics covered, with a new ???key points??? section at the end. The book is aimed at beginning or advanced graduate students who want to enter the field of computational science on multi-scales. It provides an in-depth overview of the basic physical, mathematical and numerical principles for modelling solids and fluids on the micro-, meso-, and macro-scale. With a set of exercises, selected solutions and several case studies, it is a suitable book for students in physics, engineering, and materials science, and a practical reference resource for those already using materials modelling and computational methods in their research
ISBN,Price9783030989545
Keyword(s)1. Characterization and Analytical Technique 2. Computational Mathematics and Numerical Analysis 3. EBOOK 4. EBOOK - SPRINGER 5. ENGINEERING MATHEMATICS 6. Engineering???Data processing 7. GEOLOGY 8. Materials???Analysis 9. Mathematical and Computational Engineering Applications 10. MATHEMATICAL PHYSICS 11. Mathematics???Data processing 12. Theoretical, Mathematical and Computational Physics
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TitleStochastic Numerics for Mathematical Physics
Author(s)Milstein, Grigori N;Tretyakov, Michael V
PublicationCham, Springer International Publishing, 2021.
DescriptionXXV, 736 p. 33 illus : online resource
Abstract NoteThis book is a substantially revised and expanded edition reflecting major developments in stochastic numerics since the first edition was published in 2004. The new topics, in particular, include mean-square and weak approximations in the case of nonglobally Lipschitz coefficients of Stochastic Differential Equations (SDEs) including the concept of rejecting trajectories; conditional probabilistic representations and their application to practical variance reduction using regression methods; multi-level Monte Carlo method; computing ergodic limits and additional classes of geometric integrators used in molecular dynamics; numerical methods for FBSDEs; approximation of parabolic SPDEs and nonlinear filtering problem based on the method of characteristics. SDEs have many applications in the natural sciences and in finance. Besides, the employment of probabilistic representations together with the Monte Carlo technique allows us to reduce the solution of multi-dimensional problems for partial differential equations to the integration of stochastic equations. This approach leads to powerful computational mathematics that is presented in the treatise. Many special schemes for SDEs are presented. In the second part of the book numerical methods for solving complicated problems for partial differential equations occurring in practical applications, both linear and nonlinear, are constructed. All the methods are presented with proofs and hence founded on rigorous reasoning, thus giving the book textbook potential. An overwhelming majority of the methods are accompanied by the corresponding numerical algorithms which are ready for implementation in practice. The book addresses researchers and graduate students in numerical analysis, applied probability, physics, chemistry, and engineering as well as mathematical biology and financial mathematics
ISBN,Price9783030820404
Keyword(s)1. BIOMATHEMATICS 2. Chemometrics 3. Computational Science and Engineering 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING MATHEMATICS 7. Engineering???Data processing 8. Mathematical and Computational Biology 9. Mathematical and Computational Engineering Applications 10. Mathematical Applications in Chemistry 11. MATHEMATICAL PHYSICS 12. Mathematics in Business, Economics and Finance 13. Mathematics???Data processing 14. Social sciences???Mathematics 15. Theoretical, Mathematical and Computational Physics
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TitleProceedings of the 2019 International Conference of The Computational Social Science Society of the Americas
Author(s)Yang, Zining;von Briesen, Elizabeth
PublicationCham, Springer International Publishing, 2021.
DescriptionXIII, 399 p. 167 illus., 151 illus. in color : online resource
Abstract NoteThis book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 ??? 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings
ISBN,Price9783030775179
Keyword(s)1. APPLICATION SOFTWARE 2. Biotechnology 3. COMPLEX SYSTEMS 4. Computational Mathematics and Numerical Analysis 5. Computer and Information Systems Applications 6. EBOOK 7. EBOOK - SPRINGER 8. Mathematics???Data processing 9. SYSTEM THEORY
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TitleAdvances in Jet Substructure at the LHC : Algorithms, Measurements and Searches for New Physical Phenomena
Author(s)Kogler, Roman
PublicationCham, Springer International Publishing, 2021.
DescriptionXV, 287 p. 76 illus., 70 illus. in color : online resource
Abstract NoteThis book introduces the reader to the field of jet substructure, starting from the basic considerations for capturing decays of boosted particles in individual jets, to explaining state-of-the-art techniques. Jet substructure methods have become ubiquitous in data analyses at the LHC, with diverse applications stemming from the abundance of jets in proton-proton collisions, the presence of pileup and multiple interactions, and the need to reconstruct and identify decays of highly-Lorentz boosted particles. The last decade has seen a vast increase in our knowledge of all aspects of the field, with a proliferation of new jet substructure algorithms, calculations and measurements which are presented in this book. Recent developments and algorithms are described and put into the larger experimental context. Their usefulness and application are shown in many demonstrative examples and the phenomenological and experimental effects influencing their performance are discussed. A comprehensive overview is given of measurements and searches for new phenomena performed by the ATLAS and CMS Collaborations. This book shows the impressive versatility of jet substructure methods at the LHC
ISBN,Price9783030728588
Keyword(s)1. Accelerator Physics 2. Computational Mathematics and Numerical Analysis 3. EBOOK 4. EBOOK - SPRINGER 5. Elementary particles (Physics) 6. Elementary Particles, Quantum Field Theory 7. MATHEMATICAL PHYSICS 8. Mathematics???Data processing 9. Nuclear and Particle Physics 10. NUCLEAR PHYSICS 11. PARTICLE ACCELERATORS 12. QUANTUM FIELD THEORY 13. Theoretical, Mathematical and Computational Physics
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TitleSpecial Functions in Physics with MATLAB
Author(s)Schweizer, Wolfgang
PublicationCham, Springer International Publishing, 2021.
DescriptionXVII, 282 p. 49 illus., 17 illus. in color : online resource
Abstract NoteThis handbook focuses on special functions in physics in the real and complex domain. It covers more than 170 different functions with additional numerical hints for efficient computation, which are useful to anyone who needs to program with other programming languages as well. The book comes with MATLAB-based programs for each of these functions and a detailed html-based documentation. Some of the explained functions are: Gamma and Beta functions; Legendre functions, which are linked to quantum mechanics and electrodynamics; Bessel functions; hypergeometric functions, which play an important role in mathematical physics; orthogonal polynomials, which are largely used in computational physics; and Riemann zeta functions, which play an important role, e.g., in quantum chaos or string theory. The book???s primary audience are scientists, professionals working in research areas of industries, and advanced students in physics, applied mathematics, and engineering
ISBN,Price9783030642327
Keyword(s)1. Computational Mathematics and Numerical Analysis 2. Computational Physics and Simulations 3. COMPUTER SIMULATION 4. EBOOK 5. EBOOK - SPRINGER 6. MATHEMATICAL PHYSICS 7. Mathematics???Data processing 8. SPECIAL FUNCTIONS 9. Theoretical, Mathematical and Computational Physics
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TitleOptimization Under Uncertainty with Applications to Aerospace Engineering
Author(s)Vasile, Massimiliano
PublicationCham, Springer International Publishing, 2021.
DescriptionVI, 573 p. 155 illus., 108 illus. in color : online resource
Abstract NoteIn an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students
ISBN,Price9783030601669
Keyword(s)1. Aerospace engineering 2. Aerospace Technology and Astronautics 3. ASTRONAUTICS 4. ASTRONOMY 5. Astronomy, Cosmology and Space Sciences 6. Computational Science and Engineering 7. EBOOK 8. EBOOK - SPRINGER 9. ENGINEERING MATHEMATICS 10. Engineering???Data processing 11. Mathematical and Computational Engineering Applications 12. MATHEMATICAL OPTIMIZATION 13. Mathematics???Data processing 14. OPTIMIZATION
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TitleStructural Mechanics with a Pen : A Guide to Solve Finite Difference Problems
Author(s)??chsner, Andreas
PublicationCham, Springer International Publishing, 2021.
DescriptionXV, 160 p. 152 illus., 105 illus. in color : online resource
Abstract NoteThis book is focused on the introduction of the finite difference method based on the classical one-dimensional structural members, i.e., rods/bars and beams. It is the goal to provide a first introduction to the manifold aspects of the finite difference method and to enable the reader to get a methodical understanding of important subject areas in structural mechanics. The reader learns to understand the assumptions and derivations of different structural members. Furthermore, she/he learns to critically evaluate possibilities and limitations of the finite difference method. Additional comprehensive mathematical descriptions, which solely result from advanced illustrations for two- or three-dimensional problems, are omitted. Hence, the mathematical description largely remains simple and clear
ISBN,Price9783030658922
Keyword(s)1. Computational Mathematics and Numerical Analysis 2. CONTINUUM MECHANICS 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematics???Data processing 6. Mechanics, Applied 7. Solid Mechanics 8. SOLIDS
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