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Tunnel design methods
Covers analytical, numerical and empirical methods for the design of tunnels in soil and in rock. It gives detailed analytical and numerical methods for design engineers, and guides specialists in ground-support interaction under static and seismic loading. It presents fundamental concepts in ground and support behavior and in ground-excavation-support interaction along with detailed information on methods used for the design of tunnels, with applications, and on the latest developments in empirical methods
Theory of Thermomechanical Processes in Welding
This book presents a modern viewpoint of welding thermomechanics and provides a unified and systematic continuum approach for engineers and applied physicists working on the modelling of welding processes. The theory presented includes developments in the areas of welding thermodynamics, thermoplasticity and numerical methods. The book describes the calculation of thermal stresses in welding structures, the theory of heat conduction in welding, and the basic equations of thermoplasticity, then applies the concepts to solutions of thermoplasticity problems and to thermal stresses in arc welding, laser welding, spot welding, electroslag welding and friction welding.
Theoretical numerical analysis : A functional analysis framework
This textbook prepares graduate students for research in numerical analysis/computational mathematics by giving to them a mathematical framework embedded in functional analysis and focused on numerical analysis. This helps the student to move rapidly into a research program. The text covers basic results of functional analysis, approximation theory, Fourier analysis and wavelets, iteration methods for nonlinear equations, finite difference methods, Sobolev spaces and weak formulations of boundary value problems, finite element methods, elliptic variational inequalities and their numerical solution, numerical methods for solving integral equations of the second kind, and boundary integral equations for planar regions.
The Fermi-Pasta-Ulam Problem : A Status Report
This volume reviews the current understanding of this paradox without trying to force coherence on differing perspectives on the same problem by various groups or approaches. The contributions comprise studies of one-dimensional chains, descriptions of numerical methods, heuristic theories, addressing the "long standing and controversial problem of distinguishing chaos from noise in signal analysis," metastability, the relation of the FPU motions with the integrable equations, approaches using methods of perturbation theory and the proof of the applicability of KAM theory in FPU chains with energy very close to a minimum. For the convenience of the reader the original work of FPU is reprinted in an appendix.
Textile Composites and Inflatable Structures
The objective ofthis book is to collect state-of-the-art research and tech-nologyfor design, analysis, construction and maintenance oftextile andinflatable structures.PREFACEThe objective ofthis book is to collect state-of-the-art research and tech-nologyfor design, analysis, construction and maintenance oftextile andinflatable structures.Textile composites and inflatable structures have become increasinglypopular for a variety of applications in - amongmany other fields - civilengineering, architecture andaerospace engineering. Typicalexamples in-clude membrane roofs and covers, sails, inflatable buildings and pavilions,airships, inflatable furniture, airspace structures .
Systems, Control, Modeling and Optimization ; Proceedings of the 22nd IFIP TC7 Conference held from July 18-22, 2005, in Turin, Italy
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Supercomputing ; 6th Russian supercomputing days, RuSCDays 2020, Moscow, Russia, September 21–22, 2020, Revised Selected Papers
This book constitutes the refereed post-conference proceedings of the 6th Russian Supercomputing Days, RuSCDays 2020, held in Moscow, Russia, in September 2020. The 51 revised full and 4 revised short papers presented were carefully reviewed and selected from 106 submissions. The papers are organized in the following topical sections: parallel algorithms; supercomputer simulation; HPC, BigData, AI: architectures, technologies, tools; and distributed and cloud computing.
Structural Sensitivity Analysis and Optimization 2 : Nonlinear Systems and Applications
Concerns the relationship between design variables available to the design engineer and structural responses determined by the laws of mechanics. The dependence of response measures such as displacement, stress, strain, natural frequency, buckling load, acoustic response, frequency response, noise-vibration-harshness (NVH), thermo-elastic response, and fatigue life on the material property, sizing, component shape, and configuration design variables is defined through the energy principles (governing equations) of structural mechanics. In this 2-volume set, first- and second- order design sensitivity analyses are presented for static and dynamics responses of both linear and nonlinear elastic structural systems, including elasto-plastic and frictional contact problems.
Structural Sensitivity Analysis and Optimization 1 : Linear Systems
Introduces structural design concepts that include the CAD-based design model, design parameterization, performance measures, costs, and constraints. It also discusses design sensitivity analysis of linear structural systems, and discrete and continuum design sensitivity analysis methods
Stochastic Numerics for the Boltzmann Equation
Stochastic numerical methods play an important role in large scale computations in the applied sciences. The first goal of this book is to give a mathematical description of classical direct simulation Monte Carlo (DSMC) procedures for rarefied gases, using the theory of Markov processes as a unifying framework. The second goal is a systematic treatment of an extension of DSMC, called stochastic weighted particle method. This method includes several new features, which are introduced for the purpose of variance reduction (rare event simulation). Rigorous convergence results as well as detailed numerical studies are presented.
Software for Exascale Computing - SPPEXA 2016-2019
This book summarizes the research done and results obtained in the second funding phase of the Priority Program 1648 "Software for Exascale Computing" (SPPEXA) of the German Research Foundation (DFG) presented at the SPPEXA Symposium in Dresden during October 21-23, 2019.
Software for Data Analysis : Programming with R
This book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. The techniques covered include such modern programming enhancements as classes and methods, namespaces, and interfaces to spreadsheets or data bases, as well as computations for data visualization, numerical methods, and the use of text data.
Soft Methods for Handling Variability and Imprecision
This book gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. Its aim is to present recent results illustrating such new trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information. It covers a broad scope ranging from philosophical and mathematical underpinnings of new uncertainty theories, with a stress on their impact in the area of statistics and data analysis, to numerical methods and applications to environmental risk analysis and mechanical engineering. A unique feature of this collection is to establish a dialogue between fuzzy random variables and imprecise probability theories.
Simulation of semiconductor processes and devices 2007 ; 12th International Conference on simulation of semiconductor processes and devices SISPAD 2007 ; TU Wien, Vienna, Austria
The first SISPAD conference took place in Tokyo in 1996 as the successor to three preceding conferences NUPAD, VPAD, and SISDEP. With its longstanding history SISPAD provides a world-wide forum for the presenta tion and discussion of outstanding recent advances and developments in the field of numerical process and device simulation. Driven by the ongoing miniaturization in semiconductor fabrication technology, the variety of topics discussed at this meeting reflects the ever-growing complexity of the subject. Apart from the classic topics like process, device, and interconnect simulation, mesh generation, a broad spec trum of numerical issues, and compact modeling, new simulation approaches like atomistic and first-principles methods have emerged as important fields of research and are currently making their way into standard TCAD suites.
Simulation and Inference for Stochastic Differential Equations : With R Examples
The book is organized into four chapters. The first one introduces the subject and presents several classes of processes used in many fields of mathematics, computational biology, finance and the social sciences. The second chapter is devoted to simulation schemes and covers new methods not available in other publications. The third one focuses on parametric estimation techniques. In particular, it includes exact likelihood inference, approximated and pseudo-likelihood methods, estimating functions, generalized method of moments, and other techniques. The last chapter contains miscellaneous topics like nonparametric estimation, model identification and change point estimation. The reader who is not an expert in the R language will find a concise introduction to this environment focused on the subject of the book. A documentation page is available at the end of the book for each R function presented in the book.
Scientific Computing with MATLAB and Octave
This textbook is an introduction to Scientific Computing, in which several numerical methods for the computer solution of certain classes of mathematical problems are illustrated. The authors show how to compute the zeros or the integrals of continuous functions, solve linear systems, approximate functions by polynomials and construct accurate approximations for the solution of ordinary and partial differential equations.
Robust Numerical Methods for Singularly Perturbed Differential Equations : Convection-Diffusion-Reaction and Flow Problems
This considerably extended and completely revised second edition incorporates many new developments in the thriving field of numerical methods for singularly perturbed differential equations. It provides a thorough foundation for the numerical analysis and solution of these problems, which model many physical phenomena whose solutions exhibit layers. The book focuses on linear convection-diffusion equations and on nonlinear flow problems that appear in computational fluid dynamics. It offers a comprehensive overview of suitable numerical methods while emphasizing those with realistic error estimates. The book should be useful for scientists requiring effective numerical methods for singularly perturbed differential equations.
Recent Advances in Optimization
This volume contains the Proceedings of the Twelfth French-German-Spanish Conference on Optimization held at the University of Avignon in 2004. We refer to this conference by using the acronym FGS-2004. During the period September 20-24, 2004, about 180 scientists from around the world met at Avignon (France) to discuss recent developments in optimization and related fields. The main topics discussed during this meeting were the following: 1. smooth and nonsmooth continuous optimization problems, 2. numerical methods for mathematical programming, 3. optimal control and calculus of variations, 4. differential inclusions and set-valued analysis, 5. stochastic optimization, 6. multicriteria optimization, 7. game theory and equilibrium concepts, 8. optimization models in finance and mathema.
Recent Advances in Operator Theory and Its Applications : The Israel Gohberg Anniversary Vol.ume
Contains a selection of papers in modern operator theory and its applications. Most of them are directly related to lectures presented at the Fourteenth International Workshop on Operator Theory and its Applications (IWOTA 2003) held at the University of Cagliari, Italy, in the period of June 24–27, 2003. The workshop, which was attended by 108 mathematicians – including a number of PhD and postdoctoral students – from 22 countries, presented eight special sessions on 1) control theory, 2) interpolation theory, 3) inverse scattering, 4) numerical estimates for operators, 5) numerical treatment of integral equations, 6) pseudo differential operators, 7) realizations and transformations of analytic functions and inde?nite inner product spaces, and 8) structured matrices. The program consisted of 19 plenary lectures of 45 minutes and 78 lectures of 30 minutes in four parallel sessions. The present volume re?ects the wide range and rich variety of topics presented and discussed at the workshop, both within and outside the special sessions.
Real Options and Intellectual Property : Capital Budgeting Under Imperfect Patent Protection
the author proposes an integrated approach to patent risk and capital budgeting in pharmaceutical research and development (R and D), developing an option-based view (OBV) of imperfect patent protection, which draws upon contingent-claims analysis, stochastic game theory, as well as novel numerical methods. Bridging a widening gap between recent advances in the theory of financial analysis and current challenges faced by pharmaceutical companies, the text re-initiates a discussion about the contribution of quantitative frameworks to value-based R and D management.
