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ویرایش:
نویسندگان: Pekka Neittaanmäki. Marja-Leena Rantalainen
سری: Computational Methods in Applied Sciences, 58
ISBN (شابک) : 303129081X, 9783031290817
ناشر: Springer-ECCOMAS
سال نشر: 2023
تعداد صفحات: 451
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 10 مگابایت
در صورت تبدیل فایل کتاب Impact of Scientific Computing on Science and Society به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب تأثیر محاسبات علمی بر علم و جامعه نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Foreword Preface Contents Contributors Mathematical and Numerical Modeling On Extreme Computational Complexity of the Einstein Equations 1 Historical Facts of Importance 2 Exterior and Interior Schwarzschild Solution 3 Einstein Equations of General Relativity 4 Explicit Form of the First Einstein Equation 5 Computational Complexity of the Einstein Equations 6 Concluding Remarks References Systematic Imposition of Partial Differential Equations in Boundary Value Problems 1 Introduction 2 Formal Sum of p-Forms 3 Differential Operator for General Fields 3.1 Hodge Operator and Wedge Product 3.2 Action 3.3 Differential Operator in Space-time 3.4 Differential Operator in Space and Time 4 Instantiation of Particular Models 4.1 Electromagnetism 4.2 Schrödinger Equation 4.3 Elasticity 4.4 Yang-Mills Equation 5 Approximations in Finite Dimensional Spaces 6 Conclusions References Curiously Empty Intersection of Proof Engineering and Computational Sciences 1 Introduction 2 Unfit for Computational Sciences? 3 Closer Investigation 3.1 Architecture of Interactive Theorem Provers 3.2 Theoretical Background 3.3 Role of Elaboration 3.4 Proof Engineering by Example 4 Unexploited Opportunities? 4.1 Reasons to Get Excited 4.2 Reasons to Remain Skeptical 5 Conclusions References Challenges for Mantle Convection Simulations at the Exa-Scale: Numerics, Algorithmics and Software 1 Introduction 2 Geophysics 2.1 Significance and Physics of Mantle Convection 2.2 Challenges and Future Directions 3 Mathematics 3.1 Basic Components of Finite Element Simulations 3.2 Two-Scale Surrogate 3.3 All-at-Once Multigrid Method 4 High Performance Computing 4.1 Grand Challenge Problems 4.2 Scalability Taken Seriously 4.3 Asymptotically Optimal Not Necessarily Good Enough 4.4 With Matrix-Free Multigrid Methods Towards Extreme Scale 4.5 Quest for Textbook Efficiency 5 Conclusions References Remarks on the Radiative Transfer Equations for Climatology 1 Introduction 2 Radiative Transfer Equations for a Stratified Atmosphere 3 Effect of Absorption Coefficient on Atmospheric Temperature 4 Unaffected Sunlight? 5 Earth Albedo 6 General Statement About Earth Albedo 6.1 Energy Type Estimate for the Grey Problem 6.2 Frequency Dependent Case 7 Calculus of Variations for the ν-dependent Case 7.1 Support of the Conjecture 7.2 Numerical Simulations References Simulation and Its Use in Additive Manufacturing 1 General Background 2 Additive Manufacturing in 3D Printing 2.1 L-PBF and DED Techniques 2.2 DfAM 3 Incorporation of Simulation in DfAM 3.1 Simulation Process 3.2 Different Simulation Approaches 4 State-of-the-Art in AM Simulation 5 Speculations About the Future Usability of the Simulation References A Posteriori Error Estimates for Domain Decomposition Methods 1 Introduction 2 Fully Guaranteed a Posteriori Error Estimates 3 Domain Decomposition Methods for the Basic Elliptic Problem 3.1 Problem Formulation 3.2 Schwarz Alternating Method 4 Guaranteed Bounds of Errors 4.1 A Posteriori Error Estimate Adapted to DDM 4.2 Computation of Admissible Flux Fields 5 Numerical Evidence References Optimization and Control Multi-criteria Problems and Incompleteness of Information in Structural Optimization 1 Introduction 2 Prototype Problem 3 Multi-criteria Optimization of a Beam with a Crack System 4 Optimization of Shell with Uncertainties in Damage Characteristics 5 Conclusion References Stability in Discrete Games with Perturbed Payoffs 1 Introduction 2 Basic Definitions and Notations 3 Auxiliary Lemma and Statements 4 Main Result 5 Other Results 6 Conclusion References Optimal Control Problems in Nonsmooth Solid and Fluid Mechanics: Computational Aspects 1 Introduction 2 Identification of the Slip Bound in the Stokes System with Nonsmooth Slip Conditions 3 Optimal Surface Coating Governed by the Stokes System with Threshold Slip Boundary Conditions 4 Conclusions References Optimal Control Approaches in Shape Optimization 1 Introduction 2 Distributed Penalization of the State System 2.1 Dirichlet Conditions 2.2 Neumann Conditions 3 Hamiltonian Approach in Dimension Two References Optimal Factor Taxation with Credibility 1 Introduction 2 Households and Public Sector 3 Production and Investment 4 Non-Credible Public Policy 5 Savers 6 Government 7 Policy Rules 8 Conclusions and Extensions 8.1 Endogenous Fertility 8.2 Endogenous Mortality References Transformative Direction of R&D into Neo Open Innovation 1 Introduction 2 Development of the Digital Economy 2.1 R&D-Driven Growth 2.2 Dilemma Between R&D Expansion and Declining Productivity 3 Neo Open Innovation 3.1 Self-Propagating Function 3.2 Spinoff to Uncaptured GDP 3.3 Soft Innovation Resources 3.4 Concept of Neo Open Innovation 4 Conclusion References On Tetrahedral and Square Pyramidal Numbers 1 Introduction 2 Main Theorem 3 Proof of the Main Theorem 3.1 Proof with Even n 3.2 Proof with Odd n 4 Weird Numbers References AI and Applications in Health Care Randomized Constructive Neural Network Based on Regularized Minimum Error Entropy 1 Introduction 2 Incremental Extreme Learning Machine 3 Proposed Method 3.1 Problem Formulation 3.2 Problem Solving 4 Experimental Results 4.1 Comparison of RMSE-MEE-RCNN with IELM 4.2 Comparison of RMSE-MEE-RCNN with ELM, B-ELM And MLP-MEE 5 Conclusion References On the Role of Taylor\'s Formula in Machine Learning 1 Introduction 2 Methods 2.1 Basic Formulations 2.2 Taylor\'s Formula 2.3 Autoencoder Inspired by Taylor\'s Formula 2.4 Feature Selection Method Based on Taylor\'s Formula 3 Computational Experiments 3.1 Experimental Setting 3.2 Additive Autoencoder Inspired by Taylor\'s Formula 3.3 Feature Selection for a Distance-Based Classifier 4 Conclusions References Computational Methods in Spectral Imaging 1 Introduction 2 Noise Reduction 3 Model-Based Analysis 4 Machine Learning 5 Applications 6 Concluding Remarks References Method for Radiance Approximation of Hyperspectral Data Using Deep Neural Network 1 Introduction 2 Methods 2.1 Dataset and Network Architecture 2.2 Training 3 Results 4 Discussion 4.1 Findings 4.2 Related Work 5 Conclusions References Directional Wavelet Packets for Image Processing 1 Introduction 2 Quasi-analytic Directional Wavelet Packets 2.1 Properties of qWPs 2.2 Implementation Scheme for 2D qWP Transforms 2.3 Summary of 2D qWPs 3 Numerical Examples 3.1 Image Denoising 3.2 Image Inpainting 4 Discussion References Trends in Scientific Computing Fifty Years of High-Performance Computing in Finland 1 Introduction 2 History 2.1 From Centralized Systems to Computing Ecosystem 2.2 Development of CSC 2.3 Towards the European HPC Ecosystem 3 Future Developments 3.1 Prerequisites for Success 3.2 LUMI in Kajaani 3.3 ELIXIR and National Nodes 3.4 LUMI\'s Eco-efficiency 4 Conclusions Quantum Scientific Computing 1 Introduction 2 Quantum Computing in a Nutshell 3 Quantum Algorithms for Scientific Computing 3.1 Quantum Linear Solver Algorithms 3.2 Hybrid Quantum-Classical Algorithms 3.3 Quantum Algorithms for Partial Differential Equations 4 Opportunities for Scientific Quantum Computing References Quantum Computing at IQM 1 Introduction to Quantum Technology 2 Overview of Quantum Computing 2.1 History of Quantum Computing 2.2 Differences Between Quantum and Classical Computing 3 Basics of Quantum Computing Theory 3.1 Qubit 3.2 Quantum Information Processing 3.3 Quantum Algorithms 4 Quantum Computing at IQM 4.1 IQM Technology 4.2 Co-design Quantum Computers and Their Components 5 Future Outlook at IQM References Contribution of Scientific Computing in European Research and Innovation for Greening Aviation 1 Introduction 2 Technologies to Reduce Aircraft Drag 2.1 Drag Reduction by Laminar Flow and Flow Control 2.2 High Lift Design for Transonic Wings 2.3 Research on Shock Wave Boundary Layer Interaction 3 Aeroacoustic Research to Reduce Aircraft Noise 3.1 Low-Noise Technologies for Propulsion Systems 3.2 Airframe Noise Reduction Research 4 Computational and Numerical Methods in Aeronautics 4.1 Development of Reynolds Averaged Navier-Stokes (RANS) Flow Solvers 4.2 Numerical Methods for Industrial Needs 5 European Scientific Networks in Flow Physics and Design Methods 6 Conclusions References Thirty Years of Progress in Single/Multi-disciplinary Design Optimization with Evolutionary Algorithms and Game Strategies in Aeronautics and Civil Engineering 1 Introduction and Motivation 2 Methods of Design Optimization 2.1 Evolutionary Methods Genetic Algorithms and Evolutionary Algorithms 2.2 Multi-objective Optimization and Game Theory 2.3 Advanced Methods and Tools for EAs 3 Progress of the Use of Optimization Methods in Aeronautical Engineering Design 3.1 Period 1994–2004 3.2 Period 2004–2014 3.3 Period 2014–2022 4 Applications to Civil Engineering Design 5 Conclusions and Perspectives References