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      Numerical methods and software tools in industrial mathematics

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      https://www.riss.kr/link?id=M7224059

      • 저자
      • 발행사항

        Boston, Mass. : Birkh�user, 1997

      • 발행연도

        1997

      • 작성언어

        영어

      • 주제어
      • DDC

        620/.00285/51 판사항(21)

      • ISBN

        081763973X (hc : acid-free paper) : SFR128.00
        376433973X (acid-free paper)

      • 자료형태

        일반단행본

      • 발행국(도시)

        Massachusetts

      • 서명/저자사항

        Numerical methods and software tools in industrial mathematics / Morten Daelen, Aslak Tveito, editors.

      • 형태사항

        400 p. : ill. ; 24 cm.

      • 일반주기명

        Includes bibliographical references and index.

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      부가정보

      목차 (Table of Contents)

      • CONTENTS
      • Ⅰ NUMERICAL SOFTWARE TOOLS = 5
      • 1 Object-Oriented Numerics / E. Arge ; A. M. Bruaset ; H. P. Langtangen = 7
      • 1.1 Introduction = 7
      • 1.2 A Motivating Example = 9
      • CONTENTS
      • Ⅰ NUMERICAL SOFTWARE TOOLS = 5
      • 1 Object-Oriented Numerics / E. Arge ; A. M. Bruaset ; H. P. Langtangen = 7
      • 1.1 Introduction = 7
      • 1.2 A Motivating Example = 9
      • 1.3 A Simple Matrix Class = 11
      • 1.4 Flexible User Interfaces = 18
      • 1.5 Abstraction and Top-Down Design = 20
      • 1.6 Concluding Remarks = 24
      • 2 Basic Tools for Linear Algebra / A. M. Bruaset ; H. P. Langtangen = 27
      • 2.1 Introduction = 27
      • 2.2 The Basic Building Blocks = 28
      • 2.3 Representation of Linear Systems = 36
      • 2.4 Solving Linear Systems = 39
      • 2.5 Concluding Remarks = 43
      • 3 Software Tools for Modelling Scattered Data / E. Arge ; Ø. Hjelle = 45
      • 3.1 Introduction = 45
      • 3.2 Scattered Data Characteristics = 46
      • 3.3 Software Requirements = 49
      • 3.4 Elements of Software Design = 51
      • 3.5 Concluding Remarks = 58
      • 4 A Comprehensive Set of Tools for Solving Partial Differential Equations ; Diffpack / A. M. Bruaset ; H. P. Langtangen = 61
      • 4.1 Introduction = 61
      • 4.2 Current Applications = 63
      • 4.3 The Need for Abstractions = 67
      • 4.4 Overview = 68
      • 4.5 General Representation of Fields = 73
      • 4.6 Some Details on Finite Element Methods = 76
      • 4.7 An Example = 79
      • 4.8 Code Extension Based on OOP = 82
      • 4.9 Controllers = 84
      • 4.10 Combining Simulators = 85
      • 4.11 Conclusions = 87
      • 5 On the Numerical Efficiency of C++ in Scientific Computing / E. Arge et al. = 91
      • 5.1 Introduction = 92
      • 5.2 Optimizing C++ for Numerical Applications = 93
      • 5.3 Low-level Linear Algebra Operations = 100
      • 5.4 Finite Element Applications = 106
      • 5.5 Concluding Remarks = 114
      • Ⅱ PARTIAL DIFFERENTIAL EQUATIONS = 119
      • 6 Basic Equations in Eulerian Continuum Mechanics / E. Haug ; H. P. Langtangen = 121
      • 6.1 Introduction = 121
      • 6.2 Mass, Momentum and Energy Balance = 123
      • 6.3 Constitutive Laws = 128
      • 6.4 Boundary Conditions = 135
      • 6.5 Initial and Boundary Value Problems = 136
      • 6.6 Numerical Solution Procedures = 145
      • 6.7 Mixtures = 150
      • 6.8 Concluding Remarks = 155
      • References = 155
      • 7 A Mathematical Model of Macrosegregation Formation in Binary Alloy Solidification / E. Haug ; T. Rusten ; H. J. Thevik = 157
      • 7.1 Introduction = 157
      • 7.2 Microscopic Conservation Equations = 158
      • 7.3 Fundamentals of Volume Averaging = 160
      • 7.4 Macroscopic Conservation Equations = 163
      • 7.5 Macroscopic Constitutive Relations = 164
      • 7.6 A Mixture Formulation of the Governing Equations = 167
      • 7.7 Transformation to Dimensionless Form = 169
      • 7.8 Dimensionless Mixture Equations = 172
      • 7.9 Concluding Remarks = 174
      • 8 Computation of Macrosegregation due to Solidification Shrinkage / A. Mo ; T. Rusten ; H. J. Thevik = 177
      • 8.1 Introduction = 177
      • 8.2 The Mathematical Model = 178
      • 8.3 The Finite Element Method = 181
      • 8.4 Implementation of the Finite Element Method in Diffpack = 185
      • 8.5 Results and Discussion = 190
      • 8.6 Conclusion = 193
      • 9 A Mathematical Model for the Melt Spinning of Polymer Fibers / E. Andreassen et al. = 195
      • 9.1 Introduction = 195
      • 9.2 Model Description = 196
      • 9.3 Additional Constitutive Relations = 204
      • 9.4 Numerical Methods = 206
      • 9.5 A Case Study = 208
      • 9.6 Summary = 210
      • 10 Finite Element Methods for Two-Phase Flow in Heterogeneous Porous Media / E. Gundersen ; H. P. Langtangen = 213
      • 10.1 Introduction = 213
      • 10.2 Mathematical Model = 215
      • 10.3 Numerical Methods = 217
      • 10.4 One-dimensional Flow = 221
      • 10.5 Two-dimensional Flow = 223
      • 10.6 Summary and Conclusion = 231
      • 11 Splines and Ocean Wave Modelling / E. Mehlum = 235
      • 11.1 Introduction and Background = 235
      • 11.2 Spline Functions Summary = 236
      • 11.3 Splines and Ordinary Differential Equations : a Worked Example = 237
      • 11.4 Splines and Partial Differential Equations : a Worked Example = 240
      • 11.5 Splines in Water Wave Equation = 245
      • 11.6 Nonlinear Waves in a Box : A Worked Example = 248
      • 12 Krylov Subspace Iterations for Sparse Linear Systems / A. M. Bruaset = 255
      • 12.1 Introduction = 255
      • 12.2 Krylov Subspace Methods = 257
      • 12.3 Preconditioning Techniques = 270
      • 12.4 Concluding Remarks = 276
      • 13 Preconditioning Linear Saddle Point Problems / T. Rusten ; R. Winther = 281
      • 13.1 Introduction = 281
      • 13.2 Abstract Saddle Point Problems = 282
      • 13.3 Preconditioned Iterative Methods = 283
      • 13.4 Examples of Saddle Point Problems = 286
      • 13.5 Discretizations of Saddle Point Problems = 290
      • 13.6 Numerical Results = 295
      • Ⅲ GEOMETRIC MODELLING = 299
      • 14 Surface Modelling from Scattered Geological Data / N. P. Fremming ; Ø. Hjelle ; C. Tarrou = 301
      • 14.1 Introduction = 301
      • 14.2 Description of Geological Data = 302
      • 14.3 Triangulations = 304
      • 14.4 Regular Grid Models = 306
      • 14.5 A Composite Surface Model = 307
      • 14.6 Examples = 312
      • 14.7 Concluding Remarks = 314
      • 15 Varioscale Surfaces in Geographic Information Systems / G. Misund = 317
      • 15.1 Introduction = 317
      • 15.2 Surfaces of Variable Resolution = 318
      • 15.3 Surface Varioscaling by Normalization = 320
      • 15.4 Examples = 323
      • 15.5 Final Remarks = 327
      • 16 Surface Modelling from Biomedical Data / J. G. Bjaalie ; M. Dœhlen ; T. V. Stensby = 329
      • 16.1 Boundary Polygons = 332
      • 16.2 Curve Approximation = 333
      • 16.3 Reducing Twist in the Closed Surface = 336
      • 16.4 Surface Approximation = 337
      • 16.5 Open Surfaces = 339
      • 16.6 Examples = 340
      • 16.7 Concluding Remarks = 344
      • 17 Data Reduction of Piecewise Linear Curves / E. Arge ; M. Dœhlen = 347
      • 17.1 Introduction = 347
      • 17.2 Preliminaries = 349
      • 17.3 The Intersecting Cones Method = 351
      • 17.4 The Improved Douglas Method = 353
      • 17.5 Numerical Examples = 360
      • 17.6 Resolution Sorting = 361
      • 18 Aspects of Algorithms for Manifold Intersection / T. Dokken = 365
      • 18.1 Introduction = 365
      • 18.2 Basic Concepts Used = 367
      • 18.3 Geometric Tolerance and Intersection = 369
      • 18.4 Representation of the - Intersection = 369
      • 18.5 Finding all Intersection Occurrences = 372
      • 18.6 Loop Elimination = 377
      • 19 Surface Editing / E. Mehlum ; V. Skytt = 381
      • 19.1 Introduction = 381
      • 19.2 Requirements for Surface Editing = 382
      • 19.3 Surface Interrogation = 382
      • 19.4 Surface Modification = 384
      • 19.5 Boundary Conditions of the Surface = 389
      • 19.6 Introducing New Degrees of Freedom = 389
      • 19.7 Examples = 391
      • 19.8 Conclusion = 394
      • Index = 397
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