Listing 1 - 10 of 10 |
Sort by
|
Choose an application
This book by the late R D Mindlin is destined to become a classic introduction to the mathematical aspects of two-dimensional theories of elastic plates. It systematically derives the two-dimensional theories of anisotropic elastic plates from the variational formulation of the three-dimensional theory of elasticity by power series expansions. The uniqueness of two-dimensional problems is also examined from the variational viewpoint. The accuracy of the two-dimensional equations is judged by comparing the dispersion relations of the waves that the two-dimensional theories can describe with pr
Elastic plates and shells. --- Vibration --- Nonlinear theories. --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- Elastic shells --- Plates, Elastic --- Shells, Elastic --- Elastic waves --- Elasticity --- Plasticity --- Mathematical models.
Choose an application
This book comes as a result of the research work developed in the framework of two international projects: the European Science Foundation supported program NATEMIS (Nonlinear Acoustic Techniques for Micro-Scale Damage Diagnostics) and a Los Alamos-based international network. The main topics of both the programs and the book cover the phenomenology, theory and applications of Nonclassical Nonlinearity (NCNL). NCNL techniques have been found in recent years to be extremely powerful (up to 1000 times more than the corresponding linear techniques) in a wide range of applications, including Material Characterization, Ultrasonics, Geophysics and Maintenance and Restoration of artifacts. These techniques are being adopted as the main inspection and research tool in another European program: AERONEWS (Health monitoring of aircraft by nonlinear elastic wave propagation). In the future, the proposed Universality of NCNL is expected to extend the range of applications to numerous other fields and scientific disciplines outside acoustics and NDE.
Nonlinear theories. --- Mathematical physics. --- Physical mathematics --- Physics --- Nonlinear problems --- Nonlinearity (Mathematics) --- Mathematics --- Physics. --- Quantum optics. --- Quantum Optics. --- Calculus --- Mathematical analysis --- Mathematical physics --- Optics --- Photons --- Quantum theory --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics
Choose an application
The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. Source separation deals with the problem of recovering sources that are observed in a mixed condition. When we have little knowledge about the sources and about the mixture process, we speak of blind source separation. Linear blind source separation is a relatively well studied subject. Nonlinear blind source separation is still in a less advanced stage, but has seen several significant developments in the last few years. This publication reviews the main nonlinear separation methods, including the separation of post-nonlinear mixtures, and the MISEP, ensemble learning and kTDSEP methods for generic mixtures. These methods are studied with a significant depth. A historical overview is also presented, mentioning most of the relevant results, on nonlinear blind source separation, that have been presented over the years.
Blind source separation. --- Nonlinear theories. --- Nonlinear problems --- Nonlinearity (Mathematics) --- Blind signal separation --- BSS (Blind source separation) --- Signal processing. --- Source separation. --- Nonlinear blind source separation. --- Independent component analysis. --- Nonlinear ICA. --- Calculus --- Mathematical analysis --- Mathematical physics --- Source separation (Signal processing)
Choose an application
Mathematical statistics --- Regression analysis --- Nonlinear theories --- Regression analysis. --- Nonlinear theories. --- Basic Sciences. Statistics --- Correlation and Regression Analysis --- Correlation and Regression Analysis. --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics
Choose an application
Mathematical optimization --- Nonlinear theories --- Mathematical optimization. --- Nonlinear theories. --- 681.3*G16 --- 519.8 --- dataverwerking --- lineaire programmering --- mathematische modellen, toegepast op economie --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- Operational research --- 519.8 Operational research --- 681.3*G16 Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- Acqui 2006
Choose an application
This book is aiming to concentrate on the nonlinear static and dynamic analysis of structures and structural components that are widely used in everyday engineering applications. It approaches a nonlinear problem by mathematically converting it into an exact equivalent pseudolinear one, in contrast to commonly used approaches which are based on linear concepts. The new concepts, theories and methods introduced in this book, simplify a great deal the solution of the complex nonlinear problems, and also allow for the correct usage of the powerful existing linear methods of analysis. Based on this way of thinking, the book also provides a reasonable treatment regarding the nonlinear analysis of inelastic plates, suspension bridges and their failures, multistory buildings subjected to strong earthquakes, as well as many other interesting nonlinear problems, such as thick cylinders, inelastic torsion, inelastic vibrations, inelastic analysis of flexible members, and many more.
Engineering. --- Statistical physics. --- Dynamical systems. --- Computational intelligence. --- Structural mechanics. --- Vibration. --- Dynamics. --- Civil engineering. --- Building --- Building. --- Construction. --- Engineering, Architectural. --- Building Construction. --- Structural Mechanics. --- Statistical Physics, Dynamical Systems and Complexity. --- Computational Intelligence. --- Vibration, Dynamical Systems, Control. --- Civil Engineering. --- Architectural engineering --- Buildings --- Construction --- Construction science --- Engineering, Architectural --- Structural design --- Structural engineering --- Architecture --- Construction industry --- Engineering --- Public works --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Cycles --- Sound --- Structural mechanics --- Structures, Theory of --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Mathematical statistics --- Industrial arts --- Technology --- Design and construction. --- Design and construction --- Statistical methods --- Nonlinear theories. --- Mathematics. --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- Engineering, Structural --- Structures, Engineering of --- Mechanics. --- Mechanics, Applied. --- Building Construction and Design. --- Solid Mechanics. --- Complex Systems. --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Classical mechanics --- Newtonian mechanics --- Dynamics --- Quantum theory --- Buildings—Design and construction.
Choose an application
A cornerstone of modern optimization and analysis, convexity pervades applications ranging through engineering and computation to finance. This concise introduction to convex analysis and its extensions aims at first year graduate students, and includes many guided exercises. The corrected Second Edition adds a chapter emphasizing concrete models. New topics include monotone operator theory, Rademacher's theorem, proximal normal geometry, Chebyshev sets, and amenability. The final material on "partial smoothness" won a 2005 SIAM Outstanding Paper Prize. Jonathan M. Borwein, FRSC is Canada Research Chair in Collaborative Technology at Dalhousie University. A Fellow of the AAAS and a foreign member of the Bulgarian Academy of Science, he received his Doctorate from Oxford in 1974 as a Rhodes Scholar and has worked at Waterloo, Carnegie Mellon and Simon Fraser Universities. Recognition for his extensive publications in optimization, analysis and computational mathematics includes the 1993 Chauvenet prize. Adrian S. Lewis is a Professor in the School of Operations Research and Industrial Engineering at Cornell. Following his 1987 Doctorate from Cambridge, he has worked at Waterloo and Simon Fraser Universities. He received the 1995 Aisenstadt Prize, from the University of Montreal, and the 2003 Lagrange Prize for Continuous Optimization, from SIAM and the Mathematical Programming Society. About the First Edition: "...a very rewarding book, and I highly recommend it... " - M.J. Todd, in the International Journal of Robust and Nonlinear Control "...a beautifully written book... highly recommended..." - L. Qi, in the Australian Mathematical Society Gazette "This book represents a tour de force for introducing so many topics of present interest in such a small space and with such clarity and elegance." - J.-P. Penot, in Canadian Mathematical Society Notes "There is a fascinating interweaving of theory and applications..." - J.R. Giles, in Mathematical Reviews "...an ideal introductory teaching text..." - S. Cobzas, in Studia Universitatis Babes-Bolyai Mathematica.
Mathematics. --- Analysis. --- Optimization. --- Calculus of Variations and Optimal Control, Optimization. --- Operations Research, Mathematical Programming. --- Global analysis (Mathematics). --- Mathematical optimization. --- Operations research. --- Mathématiques --- Analyse globale (Mathématiques) --- Optimisation mathématique --- Recherche opérationnelle --- Convex functions. --- Nonlinear theories. --- Calculus --- Applied Mathematics --- Engineering & Applied Sciences --- Mathematics --- Physical Sciences & Mathematics --- Nonlinear problems --- Nonlinearity (Mathematics) --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Functions, Convex --- Mathematical analysis. --- Analysis (Mathematics). --- Calculus of variations. --- Management science. --- Calculus of Variations and Optimal Control; Optimization. --- Operations Research, Management Science. --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Mathematical physics --- Functions of real variables --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Geometry, Algebraic --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Isoperimetrical problems --- Variations, Calculus of --- 517.1 Mathematical analysis
Choose an application
This edited book is devoted specifically to the applications of complex nonlinear dynamic phenomena to real systems and device applications. While in the past decades there has been significant progress in the theory of nonlinear phenomena under an assortment of system boundary conditions and preparations, there exist comparatively few devices that actually take this rich behavior into account. "Device Applications of Nonlinear Dynamics" applies and exploits this knowledge to make devices which operate more efficiently and cheaply, while affording the promise of much better performance. Given the current explosion of ideas in areas as diverse as molecular motors, nonlinear filtering theory, noise-enhanced propagation, stochastic resonance and networked systems, the time is right to integrate the progress of complex systems research into real devices.
Nonlinear theories. --- Dynamics. --- Sensor networks. --- Théories non linéaires --- Dynamique --- Réseaux de capteurs --- Nonlinear devices. --- Nonlinear theories --- Dynamics --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Applied Physics --- Civil Engineering --- Nonlinear problems --- Nonlinearity (Mathematics) --- Dynamical systems --- Kinetics --- Engineering. --- Ergodic theory. --- Statistical physics. --- Dynamical systems. --- Applied mathematics. --- Engineering mathematics. --- Vibration. --- Vibration, Dynamical Systems, Control. --- Statistical Physics, Dynamical Systems and Complexity. --- Appl.Mathematics/Computational Methods of Engineering. --- Dynamical Systems and Ergodic Theory. --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Calculus --- Mathematical analysis --- Mathematical physics --- Differentiable dynamical systems. --- Complex Systems. --- Mathematical and Computational Engineering. --- Statistical Physics and Dynamical Systems. --- Mathematical statistics --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Engineering --- Engineering analysis --- Cycles --- Sound --- Statistical methods --- Ergodic transformations --- Continuous groups --- Measure theory --- Transformations (Mathematics)
Choose an application
The impact of Benard's discovery on 20th century physics is crucial to any modern research area such as fluid dynamics, nonlinear dynamics, and non-equilibrium thermodynamics, just to name a few. This centenary review shows the broad scope and development including modern applications, edited and written by experts in the field.
Bénard cells. --- Heat --- Kinetic theory of gases. --- Marangoni effect. --- Nonlinear theories. --- Chaotic behavior in systems. --- Convection. --- Bénard, Henri, --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Nonlinear problems --- Nonlinearity (Mathematics) --- Convection, Marangoni --- Flow, Marangoni --- Marangoni convection --- Marangoni flow --- Gases, Kinetic theory of --- Convection of heat --- Bénard convection --- Bénard convection cells --- Bénard, H. --- Bénard, Henri Claude, --- Statistical Physics, Dynamical Systems and Complexity. --- Classical Continuum Physics. --- Bâenard cells --- Kinetic theory of gases --- Marangoni effect --- Convection --- Physics. --- Continuum physics. --- Statistical physics. --- Dynamical systems. --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mathematical statistics --- Classical field theory --- Continuum physics --- Continuum mechanics --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Statistical methods --- Differentiable dynamical systems --- Nonlinear theories --- System theory --- Calculus --- Mathematical analysis --- Mathematical physics --- Liquid-liquid interfaces --- Gases --- Molecular theory --- Statistical mechanics --- Rayleigh-Bénard convection --- Complex Systems. --- Classical and Continuum Physics. --- Statistical Physics and Dynamical Systems.
Choose an application
This carefully edited book presents a focused debate on the mathematics and physics of chaos, nonlinearity and complexity in nature. It explores the role of non-extensive statistical mechanics in non-equilibrium thermodynamics, and presents an overview of the strong nonlinearity of chaos and complexity in natural systems that draws on the relevant mathematics from topology, measure-theory, inverse and ill-posed problems, set-valued analysis, and nonlinear functional analysis. It presents a self-contained scientific theory of complexity and complex systems as the steady state of non-equilibrium systems, denoting a homeostatic dynamic equilibrium between stabilizing order and destabilizing disorder.
Chaotic behavior in systems --- Nonlinear theories --- Dynamics --- Nonlinear systems. --- Systèmes non linéaires --- Mathematical models. --- Chaos --- Dynamique --- Modèles mathématiques --- Chaotic behavior in systems -- Congresses. --- Electronic books. -- local. --- Nonlinear systems -- Congresses. --- Nonlinear systems --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Civil Engineering --- Applied Mathematics --- Sciences - General --- Mathematical models --- Systems, Nonlinear --- Computer science. --- Computers. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Statistical physics. --- Dynamical systems. --- Vibration. --- Dynamics. --- Computer Science. --- Theory of Computation. --- Appl.Mathematics/Computational Methods of Engineering. --- Statistical Physics, Dynamical Systems and Complexity. --- Artificial Intelligence (incl. Robotics). --- Applications of Mathematics. --- Vibration, Dynamical Systems, Control. --- System theory --- Information theory. --- Mathematics. --- Mathematical and Computational Engineering. --- Complex Systems. --- Artificial Intelligence. --- Cycles --- Mechanics --- Sound --- Math --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering --- Engineering analysis --- Mathematical analysis --- Communication theory --- Communication --- Cybernetics --- Mathematics --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Mathematical statistics --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Calculators --- Cyberspace --- Statistical methods --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Differentiable dynamical systems --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical physics --- Nonlinearity --- Complex systems
Listing 1 - 10 of 10 |
Sort by
|