Technology, Engineering & Agriculture Books
Springer Sapphire Micro and Optoelectronic Materials Structures and Systems Material Manufacturing Applications
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Springer The Path to Autonomous Robots Essays in Honor of George A Bekey
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Springer Variational Inequalities with Applications
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Springer Ecotoxicological Characterization of Waste Results and Experiences of an International Ring Test
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Springer Autonomic Computing and Networking
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Springer Additives for Plastics
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Springer-Verlag New York Inc. Alice in Quantumland An Allegory of Quantum
Book Synopsis1. Into Quantumland; 2. The Heisenberg Bank; 3. The Mechanic's Institute; 4. The Copenhagen School; 5. The Fermi-Bose Academy; 6. Virtual Reality; 7. Atoms in the Void; 8. Castle Rutherford; 9. The Particle MASSquerade; 10. The Experimental Physics Phun PhairTable of Contents1. Into Quantumland; 2. The Heisenberg Bank; 3. The Mechanic's Institute; 4. The Copenhagen School; 5. The Fermi-Bose Academy; 6. Virtual Reality; 7. Atoms in the Void; 8. Castle Rutherford; 9. The Particle MASSquerade; 10. The Experimental Physics Phun Phair
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Springer Fundamentals of Solid State Engineering
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Springer Carbohydrates
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Springer Edible Films and Coatings for Food Applications
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Springer Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach 383 Lecture Notes in Control and Information Sciences
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Springer Curves and Fractal Dimension
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Springer pesticidepropertiesintheenvironment
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Springer morethanonemysterya03
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Springer Vibrations of Elastic Plates Linear and Nonlinear Dynamical Modeling of Sandwiches Laminated Composites and Piezoelectric Layers Mechanical Engineering
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Springer Spinning the Web A Guide to Serving Information on the World Wide Web
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Springer Aerospace Sensor Systems and Applications
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Springer Handbook of Transcranial Doppler
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Springer Progress In Speech Synthesis
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Springer Distributed Detection and Data Fusion Signal Processing Digital Filtering
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Springer Applied Wavelet Analysis with SPLUS
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Springer New York Linear Mixed Models for Longitudinal Data Springer Series in Statistics
Book SynopsisExamples.- A Model for Longitudinal Data.- Exploratory Data Analysis.- Estimation of the Marginal Model.- Inference for the Marginal Model.- Inference for the Random Effects.- Fitting Linear Mixed Models with SAS.- General Guidelines for Model Building.- Exploring Serial Correlation.- Local Influence for the Linear Mixed Model.- The Heterogeneity Model.- Conditional Linear Mixed Models.- Exploring Incomplete Data.- Joint Modeling of Measurements and Missingness.- Simple Missing Data Methods.- Selection Models.- Pattern-Mixture Models.- Sensitivity Analysis for Selection Models.- Sensitivity Analysis for Pattern-Mixture Models.- How Ignorable Is Missing At Random ?.- The Expectation-Maximization Algorithm.- Design Considerations.- Case Studies.Trade ReviewFrom the reviews: MATHEMATICAL REVIEWS "This book emphasizes practice rather than mathematical rigor and the majority of the chapters are explanatory rather than research oriented. In this respect, guidance and advice on practical issues are the main focus of the text. Hence it will be of interest to applied statisticians and biomedical researchers in industry, particularly in the pharmaceutical industry, medical public health organizations, contract research organizations, and academia." "This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Over 125 illustrations are included in the book. … I do believe that the book may serve as a useful reference to a broader audience. Since practical examples are provided as well as discussion of the leading software utilization, it may also be appropriate as a textbook in an advanced undergraduate-level or a graduate-level course in an applied statistics program." (Ana Ivelisse Avil és, Technometrics, Vol. 43 (3), 2001) "A practical book with a great many examples, including worked computer code and access to the datasets. … The authors state that the book covers ‘linear mixed models for continuous outcomes’ … . The book has four main strengths: its practical bent, its emphasis on exploratory analysis, its description of tools for model checking, and its treatment of dropout and missingness … . my impression of the book was … positive. Its strong practical nature and emphasis on dropout modelling are particularly welcome … ." (Harry Southworth, ISCB Newsletter, June, 2002) "This book is devoted to linear mixed-effects models with strong emphasis on the SAS procedure. Guidance and advice on practical issues are the main focus of the text. … It is of value to applied statisticians and biomedical researchers. … I recommend this book as a reference to applied statisticians and biomedical researchers, particularly in the pharmaceutical industry, medical and public organizations." (Wang Songgui, Zentralblatt MATH, Vol. 956, 2001)Table of ContentsIntroduction * Examples * A model for Longitudinal Data * Exploratory Data Analysis * Estimation of the Marginal Model * Inference for the Marginal Model * Inference for the Random Effects * Fitting Linear Mixed Models with SAS * General Guidelines for Model Building * Exploring Serial Correlation * Local Influence for the Linear Mixed Model * The Heterogeneity Model * Conditional Linear Mixed Models * Exploring Incomplete Data * Joint Modeling of Measurements and Missingness * Simple Missing Data Methods * Selection Models * Pattern-Mixture Models * Sensitivity Analysis for Selection Models * Sensitivity Analysis for Models * How Ignorable is Missing at Random? * The Expectation-Maximization Algorithm * Design Considerations * Case Studies
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Springer The Conceptual Completion and Extensions of Quantum Mechanics 19321941. Epilogue Aspects of the Further Development of Quantum Theory 19421999
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Springer slayerssaviorsservantsandsex
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Springer Cardiovascular Solid Mechanics
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Springer Microflows
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Springer A Universe of Atoms An Atom in the Universe
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Springer Resource Recovery Confinement and Remediation of Environmental Hazards
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Springer New York Mathematical Methods Using Mathematica For Students of Physics and Related Fields Undergraduate Texts in Contemporary Physics by Hassani Sadri 2003 Paperback
Book SynopsisIntended as a companion for textbooks in mathematical methods for science and engineering, this book presents a large number of numerical topics and exercises together with discussions of methods for solving such problems using Mathematica(R).Trade ReviewFrom the reviews:"From a stylistic perspective the book strikes a comfortable balance between explanation and example which makes it easy to dip into and attractive to work through. For the eager reader there is always the promise of an interesting result after half an hour of labour. … The target audience of this book is likely to be a Physics undergraduate finishing his or her first year of study." (Dr. E. J. Grace, Contemporary Physics, Vol. 45 (2), 2004)"Initially this book has been designed as a companion to the undergraduate textbook ‘Mathematical methods’ … and later on developed into a self-contained introduction to the use of computer algebra system (CAS) Mathematica tailored specifically for undergraduate students in physics and related fields. … The book is written in a transparent manner and does not require any prior knowledge of physics for mastering computational techniques. … thanks to a massive array of carefully selected and nicely explained examples from undergraduate physics." (Yuri V. Rogovchenko, Zentralblatt MATH, Vol. 1028, 2004)"This book is intended to be a companion for textbooks in mathematical methods for undergraduate science and engineering students. It presents a number of numerical topics and exercises together with discussions of methods needed for solving problems with Mathematica. … In conclusion, this very well produced and illustrated book is heartily recommended … ." (André Hautot, Gary J. Long, Physicalia, Vol. 26 (1), 2004)Table of ContentsMathematica in a Nutshell / Vectors and Matrices in Mathematica / Integration / Infinite Series and Finite Sums / Numerical Solutions of ODE's: Theory / Numerical Solutions of ODE's: Examples Using Mathematica
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Springer In Quest Of TomorrowS Medicines Pb
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Springer New York Classical Mechanics
Book SynopsisIntended for advanced undergraduates and beginning graduate students, this text is based on the highly successful course given by Walter Greiner at the University of Frankfurt, Germany.Trade ReviewFrom the reviews: "What makes Greiner’s volumes of particular value to the student and professor alike is their completeness … Moreover, Greiner greatly increases the value of his presentation by including something like one hundred completely worked examples in each volume. Nothing is of greater importance to the student than seeing, in detail, how the theoretical concepts and tools under study are applied to actual problems of interest to working physicists … Greiner’s lectures … are internationally noted for their clarity, for their completeness, and for the effort that he has devoted to making physics an integral whole. His enthusiasm for his sciences is contagious and shines through almost every page." D. Allan Bromley, Yale University "This softcover publication … is based on the author’s courses at the J. W. Goethe University in Frankfurt. … Although the textbook, by its remarkable completeness, seems to be intended for advanced students and aims to be a reference book for graduate students and teachers, it is sufficiently understandable and extensive to be used by beginners as a first introduction to theoretical physics. It does not only provide a survey of classical theoretical mechanics, but also a respectable amount of examples and problems … ." (Georges Kohnen, Physicalia, Vol. 57 (3), 2005) "This volume of lectures … deals with the first and more elementary part of the important field of classical mechanics. The subject is presented in a manner that is both interesting to the student and easily accessible. The main text is therefore accompanied by many exercises and examples that have been worked out in great detail. This should make the book useful also for students wishing to study the subject on their own. … A worthwhile purchase for graduate students in physics … ." (Current Engineering Practice – online, Vol. 47, 2004)Table of ContentsContents Foreword Preface I VECTOR CALCULUS 1 Introduction and Basic Definitions 2 The Scalar Product 3 Component Representation of a Vector 4 The Vector Product (Axial Vector) 5 The Triple Scalar Product 6 Application of Vector Calculus Application in mathematics: Application in physics: 7 Differentiation and Integration of Vectors 8 The Moving Trihedral (Accompanying Dreibein)-the Frenet Formulas Examples on Frenet's formulas: 9 Surfaces in Space 10 Coordinate Frames 11 Vector Differential Operations The operations gradient, divergence, and curl (rotation) Differential operators in arbitrary general (curvilinear) coordinates 12 Determination of Line Integrals 13 The Integral Laws of Gauss and Stokes Gauss Law: The Gauss theorem: Geometric interpretation of the Gauss theorem: Stokes law: 14 Calculation of Surface Integrals 15 Volume (Space) Integrals II NEWTONIAN MECHANICS 16 Newton's Axioms 17 Basic Concepts of Mechanics Inertial systems Measurement of masses Work Kinetic energy Conservative forces Potential Energy law Equivalence of impulse of force and momentum change Angular momentum and torque Conservation law of angular momentum Law of conservation of the linear momentum Summary The law of areas Conservation of orientation 18 The General Linear Motion 19 The Free Fall Vertical throw Inclined throw 20 Friction Friction phenomena in a viscous medium Motion in a viscous medium with Newtonian friction Generalized ansatz for friction: 21 The Harmonic Oscillator 22 Mathematical Interlude-Series Expansion, Euler's Formulas 23 The Damped Harmonic Oscillator 24 The Pendulum 25 Mathematical Interlude: Differential Equations 26 Planetary Motions 27 Special Problems in Central Fields The gravitational field of extended bodies The attractive force of a spherical mass shell The gravitational potential of a spherical shell covered with mass Stability of circular orbits 28 The Earth and our Solar System General notions of astronomy Determination of astronomic quantities Properties, position, and evolution of the solar system World views On the evolution of the universe Dark Matter What is the nature of the dark matter? III THEORY OF RELATIVITY 29 Relativity Principle and Michelson-Morley Experiment The Michelson-Morley experiment 30 The Lorentz Transformation Rotation of a three-dimensional coordinate frame The Minkowski space Group property of the Lorentz transformation 31 Properties of the Lorentz transformation Time dilatation Lorentz-Fitzgerald length contraction Note on the invisibility of the Lorentz-Fitzgerald length contraction The visible appearance of quickly moving bodies Optical appearance of a quickly moving cube Optical appearance of bodies moving with almost the speed of light Light intensity distribution of a moving isotropic emitter Doppler shift of quickly moving bodies Relativistic space-time structure-space-time events Relativistic past, present, future The causality principle The Lorentz transformation in the two-dimensional subspace of the Minkowski space 32 Addition Theorem of the Velocities Supervelocity of light, phase, and group velocity 33 The Basic Quantities of Mechanics in Minkowski Space Lorentz scalars Four-velocity in Minkowski space Momentum in Minkowski space Minkowski force (four-force) Kinetic energy The Tachyon hypothesis Derivation of the energy law in the Minkowski space The fourth momentum component Conservation of momentum and energy for a free particle Relativistic energy for free particles Examples on the equivalence of mass and energy 34 Applications of th
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Springer Fluid Dynamics Theory Computation and Numerical Simulation
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Springer A Eutrophic Lake
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Springer Quantum Physics A Functional Integral Point of View
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Springer Lasers and Optical Engineering
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Springer Vectored Propulsion Supermaneuverability and Robot Aircraft Ifip Series on Computer Graphics
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Springer The Quantum Hall Effect
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Springer New York Nonlinear Dynamical Control Systems
Book SynopsisThis volume deals with controllability and observability properties of nonlinear systems, as well as various ways to obtain input-output representations. The emphasis is on fundamental notions as (controlled) invariant distributions and submanifolds, together with algorithms to compute the required feedbacks. Table of Contents1 Introduction.- 2 Manifolds, Vectorfields, Lie Brackets, Distributions.- 3 Controllability and Observability, Local Decompositions.- 4 Input-Output Representations.- 5 State Space Transformation and Feedback.- 6 Feedback Linearization of Nonlinear Systems.- 7 Controlled Invariant Distribution and the Disturbance Decoupling Problem.- 8 The Input-Output Decoupling Problem.- 9 The Input-Output Decoupling Problem.- 10 Local Stability and Stabilization of Nonlinear Systems.- 11 Controlled Invariant Submanifolds and Nonlinear Zero Dynamics.- 12 Mechanical Nonlinear Control Systems.- 13 Controlled Invariance and Decoupling for General Nonlinear Systems.- 14 Discrete-Time Nonlinear Control Systems.
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Springer Cost Analysis and Estimating
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Springer New York Linear System Theory Springer Texts in Electrical Engineering
Book SynopsisThis book is the result of our teaching over the years an undergraduate course on Linear Optimal Systems to applied mathematicians and a first-year graduate course on Linear Systems to engineers.Table of Contents1 Introduction.- 1.1 Science and Engineering.- 1.2 Physical Systems, Models, and Representations.- 1.3 Robustness.- 2 The System RepresentationR(•) = [A(•),B(•),C(•),D(•)].- 2.1 Fundamental Properties ofR(•).- 2.1.1 Definitions.- 2.1.2 Structure ofR(•).- 2.1.3 State Transition Matrix.- 2.1.4 State Transition Map and Response Map.- 2.1.5 Impulse Response Matrix.- 2.1.6 Adjoint Equations.- 2.1.7 Linear-Quadratic Optimization.- 2.2 Applications.- 2.2.1 Variational Equation.- 2.2.2 Control Correction Example.- 2.2.3 Optimization Example.- 2.2.4 Periodically Varying Differential Equations.- 2d The Discrete-Time System RepresentationRd(•) = [A(•),B(•),C(•),D(•)].- 2d.1 Fundamental Properties ofRd(•).- 2d.2 Application: Periodically Varying Recursion Equations.- 3 The System RepresentationR= [A,B,C,D], Part I.- 3.1 Preliminaries.- 3.2 General Properties ofR= [A,B,C,D].- 3.2.1 Definition.- 3.2.2 State Transition Matrix.- 3.2.3 The State Transition and Response Map of R.- 3.3 Properties of R when A has a Basis of Eigenvectors.- 3d The Discrete-Time System Representation Rd = [A,B,C,D].- 3d.1 Preliminaries.- 3d.2 General Properties of Rd.- 3d.3 Properties of Rd when A has a Basis of Eigenvectors.- 4 The System Representation R = [A,B,C,D], Part II.- 4.1 Preliminaries.- 4.2 Minimal Polynomial.- 4.3 Decomposition Theorem.- 4.4 The Decomposition of a Linear Map.- 4.5 Jordan Form.- 4.6 Function of a Matrix.- 4.7 Spectral Mapping Theorem.- 4.8 The Linear Map X ? AX+XB.- 5 General System Concepts.- 5.1 Dynamical Systems.- 5.2 Time-Invariant Dynamical Systems.- 5.3 Linear Dynamical Systems.- 5.4 Equivalence.- 6 Sampled Data Systems.- 6.1 Relation BetweenL- and z-Transforms.- 6.2 D/A Converter.- 6.3 A/D Converter.- 6.4 Sampled-Data System.- 6.5 Example.- 7 Stability.- 7.1 I/O Stability.- 7.2 State Related Stability Concepts and Applications.- 7.2.1 Stability of x = A(t)x.- 7.2.2 Bounded Trajectories and Regulation.- 7.2.3 Response to T-Periodic Inputs.- 7.2.4 Periodically Varying System with Periodic Input.- 7.2.5 Slightly Nonlinear Systems.- 7d Stability: The Discrete-Time Case.- 7d.1 I/O Stability.- 7d.2 State Related Stability Concepts.- 7d.2.1 Stability of x(k+1) = A(k)x(k).- 7d.2.2 Bounded Trajectories and Regulation.- 7d.2.3 Response to q-Periodic Inputs.- 8 Controllability and Observability.- 8.1 Controllability and Observability of Dynamical Systems.- 8.2 Controllability of the Pair (A(•),B(•)).- 8.2.1 Controllability of the Pair (A(•),B(•)).- 8.2.2 The Cost of Control.- 8.2.3 Stabilization by Linear State Feedback.- 8.3 Observability of the Pair (C(•),A(•)).- 8.4 Duality.- 8.5 Linear Time-Invariant Systems.- 8.5.1 Observability Properties of the Pair (C,A).- 8.5.2 Controllability of the Pair (A,B).- 8.6 Kalman Decomposition Theorem.- 8.7 Hidden Modes, Stabilizability, and Detectability.- 8.8 Balanced Representations.- 8.9 Robustness of Controllability.- 8d Controllability and Observability: The Discrete-Time Case.- 8d.1 Controllability and Observability of Dynamical Systems.- 8d.2 Reachability and Controllability of the Pair (A(•),B(•)).- 8d.2.1 Controllability of the Pair (A(•),B(•)).- 8d.2.2 The Cost of Control.- 8d.3 Observability of the Pair (C(•),A(•)).- 8d.4 Duality.- 8d.5 Linear Time-Invariant Systems.- 8d.5.1 Observability of the Pair (C,A).- 8d.5.2 Reachability and Controllability of the Pair(A,B).- 8d.6 Kalman Decomposition Theorem.- 8d.7 Stabilizability and Detectability.- 9 Realization Theory.- 9.1 Minimal Realizations.- 9.2 Controllable Canonical Form.- 10 Linear State Feedback and Estimation.- 10.1 Linear State Feedback.- 10.2 Linear Output Injection and State Estimation.- 10.3 State Feedback of the Estimated State.- 10.4 Infinite Horizon Linear Quadratic Optimization.- 10d.4 Infinite Horizon Linear Quadratic Optimization. The Discrete-Time Case.- 11 Unity Feedback Systems.- 11.1 The Feedback System ?c.- 11.1.1 State Space Analysis.- 11.1.2 Special Case:R1andR2have no Unstable Hidden Modes.- 11.1.3 The Discrete-Time Case.- 11.2 Nyquist Criterion.- 11.2.1 The Nyquist Criterion.- 11.2.2 Remarks on the Nyquist Criterion.- 11.2.3 Proof of Nyquist Criterion.- 11.2.4 The Discrete-Time Case.- 11.3 Robustness.- 11.3.1 Robustness With Respect to Plant Perturbations.- 11.3.2 Robustness With Respect to Exogenous Disturbances.- 11.3.3 Robust Regulation.- 11.3.4 Bandwidth-Robustness Tradeoff.- 11.3.5 The Discrete-Time Case.- 11.4 Kharitonov’s Theorem.- 11.4.1 Hurwitz Polynomials.- 11.4.2 Kharitonov’s Theorem.- 11.5 Robust Stability Under Structured Perturbations.- 11.5.1 General Robustness Theorem.- 11.5.2 Special Case: Affine Maps and Convexity.- 11.5.3 The Discrete Time Case.- 11.6 Stability Under Arbitrary Additive Plant Perturbations.- 11.7 Transmission Zeros.- 11.7.1 Single-Input Single-Output Case.- 11.7.2 Multi-Input Multi-Output Case: Assumptions and Definitions.- 11.7.3 Characterization of the Zeros.- 11.7.4 Application to Unity Feedback Systems.- Appendix A Linear Maps and Matrix Analysis.- A.1 Preliminary Notions.- A.2 Rings and Fields.- A.3 Linear Spaces.- A4. Linear Maps.- AS. Matrix Representation.- A.5.1 The Concept of Matrix Representation.- A.5.2 Matrix Representation and Change of Basis.- A.5.3 Range and Null Space: Rank and Nullity.- A.5.4 Echelon Forms of a Matrix.- A.6 Notmed Linear Spaces.- A.6.1 Norms.- A.6.2 Convergence.- A.6.3 Equivalent Norms.- A.6.4 The Lebesgue Spaces 1P and LP [Tay.1].- A.6.5 Continuous Linear Transformations.- A.7 The Adjoint of a Linear Map.- A.7.1 Inner Products.- A.7.2 Adjoints of Continuous Linear Maps.- A.7.3 Properties of the Adjoint.- A.7.4 The Finite Rank Operator Fundamental Lemma.- A.7.5 Singular Value Decomposition (SVD).- Appendix B Differential Equations.- BA Existence and Uniqueness of Solutions.- B.1.1 Assumptions.- B.1.2 Fundamental Theorem.- B.1.3 Construction of a Solution by Iteration.- B.1.4 The Bellman-Gronwall Inequality.- B.1.5 Uniqueness.- B.2 Initial Conditions and Parameter Perturbations.- B.3 Geometric Interpretation and Numerical Calculations.- Appendix C Laplace Transforms.- C.1 Definition of the Laplace Transform.- C.2 Properties of Laplace Transforms.- Appendix D the z-Transform.- D.1 Definition of the z-Transform.- D.2 Properties of the z-Transform.- References.- Abbreviations.- Mathematical Symbols.
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Springer The Sonar of Dolphins
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Springer New York A Mathematical Introduction to Fluid Mechanics
Book SynopsisThe text illustrates the physical background and motivation for some constructions used in recent mathematical and numerical work on the Navier- Stokes equations and on hyperbolic systems, so as to interest students in this at once beautiful and difficult subject.Trade Review From the reviews: "… The book contains some of the basic ideas of fluid mechanics in a mathematically attractive manner...has the very advantage of providing the solution of the differential equations using the new and modern techniques...the material is very well presented both the mathematical arguments as well as the physical input." PhysicaliaTable of ContentsPreface.- 1. The Equations of Motion: 1.1. Euler's Equations. 1.2. Rotation and Vorticity. 1.3. The Navier-Stokes Equations.- 2. Potential Flow and Slightly Viscous Flow: 2.1. Potential Flow. 2.2. Boundary Layers. 2.3. Vortex Sheets. 2.4. Remarks on Stability and Bifurcation.- 3. Gas Flow in One Dimension: 3.1. Characteristics. 3.2. Shocks. 3.3. The Riemann Problem. 3.4. Combustion Waves.
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Springer Radio Monitoring
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Springer Sample Preparation Handbook for Transmission Electron Microscopy
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Springer New York Out of their Minds The Lives and Discoveries of 15 Great Computer Scientists
Book SynopsisThis best-selling book is now available in an inexpensive softcover format.Imagine living during the Renaissance and being able to interview that eras greatest scientists about their inspirations, discoveries, and personal interests.Table of Contents1: Linguists: how to Talk to Machines.- • A Restless Inventor.- • The Uncommon Logician of Common Sense.- • A Clear Romantic Vision.- 2: Algorithmists: How to Solve Problems Fast.- • Appalling Prose and the Shortest Path.- • The Possibilities of Chance.- • Boundless Interests, A Common Thread.- • In Search of Good Structure.- • Of Time, Space, and Computation.- • A Good Solution is Hard to Find.- 3: Architects: How to Build Better Machines.- • A Delight in Making Things Work.- • Racing with the Speed of Light.- • The Biological Connection.- 4: Sculptors of Machine Intelligence: How to Make Machines Smart.- #x2022; The Power of Knowledge.- • A Twenty-Year Bet.- Epilogue: Secrets Of Success?.- Postscript: The Next 25 Years.- References.- Acknowledgments.
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Springer Mathematical Control Theory
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Springer Nanotechnology
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Springer Vibration of Structures and Machines Practical Aspects
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