LEADER 03497nam 22007092 450 001 9910465375403321 005 20151019145332.0 010 $a1-139-61033-3 010 $a1-107-23508-1 010 $a1-107-52994-8 010 $a1-139-60874-6 010 $a1-139-05892-4 010 $a1-139-61219-0 010 $a1-139-62521-7 010 $a1-139-61591-2 010 $a1-299-25768-2 035 $a(CKB)2560000000098639 035 $a(EBL)1099863 035 $a(OCoLC)828302658 035 $a(SSID)ssj0000832829 035 $a(PQKBManifestationID)11501383 035 $a(PQKBTitleCode)TC0000832829 035 $a(PQKBWorkID)10900591 035 $a(PQKB)11578064 035 $a(UkCbUP)CR9781139058926 035 $a(MiAaPQ)EBC1099863 035 $a(Au-PeEL)EBL1099863 035 $a(CaPaEBR)ebr10659325 035 $a(CaONFJC)MIL457018 035 $a(EXLCZ)992560000000098639 100 $a20110318d2013|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCapitalism, corporations and the social contract $ea critique of stakeholder theory /$fSamuel F. Mansell$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2013. 215 $a1 online resource (xi, 185 pages) $cdigital, PDF file(s) 225 1 $aBusiness, value creation and society 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-107-01552-9 311 $a1-139-62149-1 320 $aIncludes bibliographical references and index. 327 $aAn introduction to stakeholder theory -- The philosophy of stakeholder theory -- The corporation as a private association in a market economy -- The corporation as a sovereign power in a market economy -- Shareholder theory and its limitations. 330 $aIn whose interests should a corporation be run? Over the last thirty years the field of 'stakeholder theory' has proposed a distinctive answer: a corporation should be run in the interests of all its primary stakeholders - including employees, customers, suppliers and financiers - without contradicting the ethical principles on which capitalism stands. This book offers a critique of this central claim. It argues that by applying the political concept of a 'social contract' to the corporation, stakeholder theory in fact undermines the principles on which a market economy is based. The argument builds upon an extensive review of the stakeholder literature and an analysis of its philosophical foundations, particularly concerning the social contract tradition of John Rawls and his predecessors. The book concludes by offering a qualified version of Milton Friedman's shareholder theory as a more justifiable account of the purpose of a corporation. 410 0$aBusiness, value creation, and society. 517 3 $aCapitalism, corporations & the social contract 606 $aSocial responsibility of business 606 $aSocial contract 606 $aCapitalism$xMoral and ethical aspects 615 0$aSocial responsibility of business. 615 0$aSocial contract. 615 0$aCapitalism$xMoral and ethical aspects. 676 $a174 700 $aMansell$b Samuel F.$01046422 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910465375403321 996 $aCapitalism, corporations and the social contract$92473290 997 $aUNINA LEADER 08090nam 2200493 450 001 996483071203316 005 20230107101730.0 010 $a9783030989545$b(electronic bk.) 010 $z9783030989538 035 $a(MiAaPQ)EBC7054540 035 $a(Au-PeEL)EBL7054540 035 $a(CKB)24286844200041 035 $a(PPN)263898539 035 $a(EXLCZ)9924286844200041 100 $a20230107d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational multiscale modeling of fluids and solids $etheory and applications /$fMartin Oliver Steinhauser 205 $a3rd ed. 210 1$aCham, Switzerland :$cSpringer International Publishing,$d[2022] 210 4$d©2022 215 $a1 online resource (450 pages) 225 1 $aGraduate Texts in Physics Ser. 311 08$aPrint version: Steinhauser, Martin Oliver Computational Multiscale Modeling of Fluids and Solids Cham : Springer International Publishing AG,c2022 9783030989538 327 $aIntro -- Preface to the Third Edition -- Preface to the Second Edition -- Preface to the First Edition in 2008 -- Contents -- Acronyms -- List of Algorithms -- List of Boxes -- blackPart I Fundamentals-1pt -- 1 Introduction to Multiscale Modeling -- 1.1 Physics on Different Length- and Timescales -- 1.1.1 Electronic/Atomic Scale -- 1.1.2 Atomic/Microscopic Scale -- 1.1.3 Microscopic/Mesoscopic Scale -- 1.1.4 Mesoscopic/Macroscopic Scale -- 1.2 What are Fluids and Solids? -- 1.3 The Objective of Experimental and Theoretical Physics -- 1.4 Computer Simulations-A Review -- 1.4.1 A Brief History of Computer Simulation -- 1.4.2 Computational Materials Science -- 1.5 Suggested Reading -- 2 Multiscale Computational Materials Science -- 2.1 Some Terminology -- 2.2 What is Computational Material Science on Multiscales? -- 2.2.1 Experimental Investigations on Different Length Scales -- 2.3 What is a Model? -- 2.3.1 The Scientific Method -- 2.4 Hierarchical Modeling Concepts Above the Atomic Scale -- 2.4.1 Example: Principle Model Hierarchies in Classical Mechanics -- 2.4.2 Structure-Property Paradigm -- 2.4.3 Physical and Mathematical Modeling -- 2.4.4 Numerical Modeling and Simulation -- 2.5 Unifications and Reductionism in Physical Theories -- 2.5.1 The Four Fundamental Interactions -- 2.5.2 The Standard Model -- 2.5.3 Symmetries, Fields, Particles and the Vacuum -- 2.5.4 Relativistic Wave Equations -- 2.5.5 Suggested Reading -- 2.6 Computer Science, Algorithms, Computability and Turing Machines -- 2.6.1 Recursion -- 2.6.2 Divide-and-Conquer -- 2.6.3 Local Search -- 2.6.4 Simulated Annealing and Stochastic Algorithms -- 2.6.5 Computability, Decidability and Turing Machines -- 2.6.6 Efficiency of Algorithms -- 3 Mathematical and Physical Prerequisites -- 3.1 Introduction -- 3.2 Sets and Set Operations -- 3.2.1 Cartesian Product, Product Set. 327 $a3.2.2 Functions and Linear Spaces -- 3.3 Topological Spaces -- 3.3.1 Charts -- 3.3.2 Atlas -- 3.3.3 Manifolds -- 3.3.4 Tangent Vectors and Tangent Space -- 3.3.5 Covectors, Cotangent Space and One-Forms -- 3.3.6 Dual Spaces -- 3.3.7 Tensors and Tensor Spaces -- 3.3.8 Affine Connections and Covariant Derivative -- 3.4 Metric Spaces and Metric Connection -- 3.5 Riemannian Manifolds -- 3.5.1 Riemannian Curvature -- 3.6 The Problem of Inertia and Motion: Coordinate Systems in Physics -- 3.6.1 The Special and General Principle of Relativity -- 3.6.2 The Structure of Spacetime -- 3.7 Relativistic Field Equations -- 3.7.1 Relativistic Hydrodynamics -- 3.8 Suggested Reading -- 4 Fundamentals of Numerical Simulation -- 4.1 Basics of Ordinary and Partial Differential Equations in Physics -- 4.1.1 Elliptic Type -- 4.1.2 Parabolic Type -- 4.1.3 Hyperbolic Type -- 4.2 Numerical Solution of Differential Equations -- 4.2.1 Mesh-Based and Mesh-Free Methods -- 4.2.2 Finite Difference Methods -- 4.2.3 Finite Volume Method -- 4.2.4 Finite Element Methods -- 4.3 Elements of Software Design -- 4.3.1 Software Design -- 4.3.2 Writing a Routine -- 4.3.3 Code-Tuning Strategies -- 4.3.4 Suggested Reading -- blackPart II Computational Methods on Multiscales-1pt -- 5 Computational Methods on Electronic/Atomistic Scale -- 5.1 Introduction -- 5.1.1 Scale Separation -- 5.2 Ab-Initio Methods -- 5.3 Physical Foundations of Quantum Theory -- 5.3.1 A Short Description of Quantum Theory -- 5.3.2 A Hamiltonian for a Condensed Matter System -- 5.3.3 The Born-Oppenheimer Approximation -- 5.4 Density Functional Theory -- 5.5 Car-Parinello Molecular Dynamics -- 5.5.1 Force Calculations: The Hellmann-Feynman Theorem -- 5.5.2 Calculating the Ground State -- 5.6 Solving Schrödinger's Equation for Many-Particle Systems: ? -- 5.6.1 The Hartree-Fock Approximation. 327 $a5.7 What Holds a Solid Together? -- 5.7.1 Homonuclear Diatomic Molecules -- 5.8 Semi-empirical Methods -- 5.8.1 Tight-Binding Method -- 5.9 Bridging Scales: Quantum Mechanics (QM) - Molecular Mechanics (MM) -- 5.10 Concluding Remarks -- 6 Computational Methods on Atomistic/Microscopic Scale -- 6.1 Introduction -- 6.1.1 Thermodynamics and Statistical Ensembles -- 6.2 Fundamentals of Statistical Physics and Thermodynamics -- 6.2.1 Probabilities -- 6.2.2 Measurements and the Ergodic Hypotheses -- 6.2.3 Statistics in Phase Space and Statistical Ensembles -- 6.2.4 Virtual Ensembles -- 6.2.5 Entropy and Temperature -- 6.3 Classical Interatomic and Intermolecular Potentials -- 6.3.1 Charged Systems -- 6.3.2 Ewald Summation -- 6.3.3 The P3M Algorithm -- 6.3.4 Van der Waals Potential -- 6.3.5 Covalent Bonds -- 6.3.6 Embedded Atom Potentials -- 6.3.7 Pair Potentials -- 6.4 Classical Molecular Dynamics Simulations -- 6.4.1 Numerical Ingredients of MD Simulations -- 6.4.2 Integrating the Equations of Motion -- 6.4.3 Periodic Boundary Conditions -- 6.4.4 The Minimum Image Convention -- 6.4.5 Efficient Search Strategies for Interacting Particles -- 6.4.6 Making Measurements -- 6.5 Liquids, Soft Matter and Polymers -- 6.5.1 Bonded Interactions -- 6.5.2 Scaling and Universality of Polymers -- 6.6 Monte Carlo Simulations -- 7 Computational Methods on Mesoscopic/Macroscopic Scale -- 7.1 Example: Meso- and Macroscale Shock-Wave Experiments -- 7.2 Statistical Methods: Voronoi Tesselations and Power Diagrams for Modeling ? -- 7.2.1 Reverse Monte Carlo Optimization -- 7.3 Dissipative Particle Dynamics -- 7.4 Ginzburg-Landau/Cahn-Hiliard Field Theoretic Mesoscale Simulation Method -- 7.5 Bridging Scales: Soft Particle Discrete Elements for Shock Wave Applications -- 7.6 Bridging Scales: Energetic Links Between MD and FEM -- 7.6.1 Bridging Scales: Work-Hardening. 327 $a7.7 Physical Theories for Macroscopic Phenomena: The Continuum Approach -- 7.7.1 The Description of Fluid Motion -- 7.8 Continuum Theory -- 7.8.1 The Continuum Hypothesis -- 7.9 Theory of Elasticity -- 7.9.1 Kinematic Equations -- 7.9.2 The Stress Tensor -- 7.9.3 Equations of Motion of the Theory of Elasticity -- 7.9.4 Constitutive Equations -- 7.10 Bridging Scale Application: Crack Propagation -- 8 Perspectives in Multiscale Materials Modeling -- A Further Reading -- A.1 Foundations of Physics -- A.2 Programming Techniques -- A.3 Journals and Conferences on Multiscale Materials Modeling and Simulation -- B Mathematical Definitions -- C Sample Code for the Main Routine in a MD Program -- D A Sample Makefile -- E Tables of Physical Constants -- E.1 International System of Units (SI or mksA System) -- E.2 Conversion Factors of Energy -- References -- Index. 410 0$aGraduate Texts in Physics Ser. 606 $aFluids$xMathematical models 606 $aSolids$xMathematical models 615 0$aFluids$xMathematical models. 615 0$aSolids$xMathematical models. 676 $a532 700 $aSteinhauser$b M. O$g(Martin Oliver),$0916045 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a996483071203316 996 $aComputational Multiscale Modeling of Fluids and Solids$92053553 997 $aUNISA