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    Solving Ordinary Differential Equations II

    Stiff and Differential-Algebraic Problems

    Solving Ordinary Differential Equations II
    Stiff and Differential-Algebraic Problems

    Autoren:

    Verlag:
    Springer-Verlag   Weitere Titel dieses Verlages anzeigen

    Auflage: 2nd ed. 1996. 2nd printing
    Erschienen: März 2010
    Seiten: 614
    Sprache: Deutsch
    Preis: 213.99 €
    Maße: 233x154x38
    Einband: Taschenbuch
    Reihe: Springer Series in Computational Mathematics
    ISBN: 9783642052200

    Inhaltsverzeichnis

    Chapter IV. Stiff Problems - One-Step Methods
    IV.l Examples of Stiff Equations2
    Chemical Reaction Systems3
    Electrical Circuits4
    Diffusion6
    A "Stiff' Beam8
    High Oscillations11
    Exercises11
    IV.2 Stability Analysis for Explicit RK Methods15
    Stability Analysis for Euler's Method15
    Explicit Runge-Kutta Methods16
    Extrapolation Methods18
    Analysis of the Examples of IV.l18
    Automatic Stiffness Detection21
    Step-Control Stability24
    A PI Step Size Control28
    Stabilized Explicit Runge-Kutta Methods31
    Exercises37
    IV.3 Stability Function of Implicit RK-Methods40
    The Stability Function40
    A -Stability42
    L-Stability and A(a)-Stability44
    Numerical Results46
    Stability Functions of Order >s47
    Pade Approximations to the Exponential Function48
    Exercises49
    IV.4 Order Stars51
    Introduction51
    Order and Stability for Rational Approximations56
    Stability of Pade Approximations58
    Comparing Stability Domains58
    Rational Approximations with Real Poles61
    The Real-Pole Sandwich62
    Multiple Real-Pole Approximations67
    Exercises70
    IV.5 Construction of Implicit Runge-Kutta Methods71
    Gauss Methods71
    Radau IA and Radau IIA Methods72
    Lobatto IIIA, IIIB and IIIC Methods75
    The W -Transformation77
    Construction of Implicit Runge-Kutta Methods83
    Stability Function84
    Positive Functions86
    Exercises89
    IV.6 Diagonally Implicit RK Methods91
    Order Conditions91
    Stiffly Accurate SDIRK Methods92
    The Stability Function96
    Multiple Real-Pole Approximations with R(oo)=098
    Choice of Method99
    Exercises100
    IV.7 Rosenbrock-Type Methods102
    Derivation of the Method102
    Order Conditions104
    The Stability Function108
    Construction of Methods of Order 4108
    Higher Order Methods ........................................................................Ill
    Implementation of Rosenbrock-Type Methods................................Ill
    The "Hump"113
    Methods with Inexact Jacobian (W -Methods)114
    Exercises117
    IV.8 Implementation of Implicit Runge-Kutta Methods118
    Reformulation of the Nonlinear System118
    Simplified Newton Iterations119
    The Linear System121
    Step Size Selection123
    Implicit Differential Equations127
    AnSDIRK-Code128
    SIRK-Methods128
    Exercises130
    IY.9 Extrapolation Methods131
    Extrapolation of Symmetric Methods131
    Smoothing133
    The Linearly Implicit Mid-Point Rule134
    Implicit and Linearly Implicit Euler Method138
    Implementation139
    Exercises142
    IV.10 Numerical Experiments143
    TheCodesUsed143
    Twelve Test Problems144
    Results and Discussion152
    Partitioning and Projection Methods160
    Exercises165
    IV.ll Contractivity for Linear Problems167
    Euclidean Norms (Theorem of von Neumann)168
    Error Growth Function for Linear Problems169
    Small Nonlinear Perturbations172
    Contractivity in || - ||oo and || - ||i175
    Study of the Threshold Factor176
    Absolutely Monotonic Functions178
    Exercises179
    IY.12 B-Stability and Contractivity180
    One-Sided Lipschitz Condition180
    B -Stability and Algebraic Stability181
    Some Algebraically Stable IRK Methods183
    AN -Stability184
    Reducible Runge-Kutta Methods187
    The Equivalence Theorem for 5-Irreducible Methods188
    Error Growth Function193
    Computation of <pb(%)195
    Exercises199
    IV. 13 Positive Quadrature Formulas and B-Stable RK-Methods201
    Quadrature Formulas and Related Continued Fractions201
    Number of Positive Weights203
    Characterization of Positive Quadrature Formulas205
    Necessary Conditions for Algebraic Stability206
    Characterization of Algebraically Stable Methods209
    The "Equivalence" of A-and B-Stability211
    Exercises213
    IV.14 Existence and Uniqueness of IRK Solutions215
    Existence215
    A Counterexample217
    Influence of Perturbations and Uniqueness218
    Computation of a0(A"1)220
    Methods with Singular A222
    Lobatto mC Methods223
    Exercises223
    IV. 15 B-Convergence225
    The Order Reduction Phenomenon225
    The Local Error228
    Error Propagation229
    B -Convergence for Variable Step Sizes230
    B -Convergence Implies Algebraic Stability232
    The Trapezoidal Rule234
    Order Reduction for Rosenbrock Methods236
    Exercises237
    Chapter V. Multistep Methods for Stiff Problems
    V.l Stability of Multistep Methods240
    The Stability Region240
    Adams Methods242
    Predictor-Corrector Schemes244
    Nystrom Methods245
    BDF246
    The Second Dahlquist Barrier247
    Exercises249
    V.2 "Nearly" A-Stable Multistep Methods250
    A(cv)-Stability and Stiff Stability250
    High Order A(a) -Stable Methods251
    Approximating Low Order Methods with High Order Ones253
    A Disc Theorem254
    Accuracy Barriers for Linear Multistep Methods254
    Exercises259
    V.3 Generalized Multistep Methods261
    Second Derivative Multistep Methods of Enright261
    Second Derivative BDF Methods265
    Blended Multistep Methods266
    Extended Multistep Methods of Cash267
    Multistep Collocation Methods270
    Methods of "Radau" Type273
    Exercises275
    Y.4 Order Stars on Riemann Surfaces279
    Riemann Surfaces279
    Poles Representing Numerical Work283
    Order and Order Stars284
    The "Daniel and Moore Conjecture"286
    Methods with Property C288
    General Linear Methods290
    Dual Order Stars295
    Exercises297
    V.5 Experiments with Multistep Codes300
    The Codes Used300
    Exercises304
    V.6 One-Leg Methods and G-Stability305
    One-Leg (Multistep) Methods305
    Existence and Uniqueness306
    G -Stability307
    An Algebraic Criterion309
    The Equivalence of A-Stability and G -Stability310
    A Criterion for Positive Functions313
    Error Bounds for One-Leg Methods314
    Convergence of A-Stable Multistep Methods317
    Exercises319
    V.7 Convergence for Linear Problems321
    Difference Equations for the Global Error321
    The Kreiss Matrix Theorem323
    Some Applications of the Kreiss Matrix Theorem326
    Global Error for Prothero and Robinson Problem328
    Convergence for Linear Systems with Constant Coefficients329
    Matrix Valued Theorem of von Neumann330
    Discrete Variation of Constants Formula332
    Exercises337
    V.8 Convergence for Nonlinear Problems339
    Problems Satisfying a One-Sided Lipschitz Condition339
    Multiplier Technique342
    Multipliers and Nonlinearities346
    Discrete Variation of Constants and Perturbations348
    Convergence for Nonlinear Parabolic Problems349
    Exercises354
    V.9 Algebraic Stability of General Linear Methods356
    G -Stability356
    Algebraic Stability357
    AN -Stability and Equivalence Results359
    Multistep Runge-Kutta Methods362
    Simplifying Assumptions363
    Quadrature Formulas365
    Algebraically Stable Methods of Order 2s366
    B -Convergence368
    Exercises370
    Chapter VI. Singular Perturbation Problems
    and Index 1 Problems
    VI.l Solving Index 1 Problems372
    Asymptotic Solution of van der Pol's Equation372
    The e -Embedding Method for Problems of Index 1374
    State Space Form Method375
    A Transistor Amplifier376
    Problems of the Form Mu' = tp(u)378
    Convergence of Runge-Kutta Methods380
    Exercises381
    VI.2 Multistep Methods382
    Methods for Index 1 Problems382
    Convergence for Singular Perturbation Problems383
    Exercises387
    VI.3 Epsilon Expansions for Exact and RK Solutions388
    Expansion of the Smooth Solution388
    Expansions with Boundary Layer Terms389
    Estimation of the Remainder391
    Expansion of the Runge-Kutta Solution392
    Convergence of RK-Methods for Differential-Algebraic Systems394
    Existence and Uniqueness of the Runge-Kutta Solution397
    Influence of Perturbations398
    Estimation of the Remainder in the Numerical Solution399
    Numerical Confirmation403
    Perturbed Initial Values405
    Exercises406
    VI.4 RosenbrockMethods407
    Definition of the Method407
    Derivatives of the Exact Solution408
    Trees and Elementary Differentials409
    Taylor Expansion of the Exact Solution411
    Taylor Expansion of the Numerical Solution412
    Order Conditions415
    Convergence416
    Stiffly Accurate Rosenbrock Methods418
    Construction of RODAS, a Stiffly Accurate Embedded Method420
    Inconsistent Initial Values422
    Exercises424
    VI.5 Extrapolation Methods426
    Linearly Implicit Euler Discretization426
    Perturbed Asymptotic Expansion428
    Order Tableau431
    Error Expansion for Singular Perturbation Problems433
    Dense Output438
    Exercises441
    VI.6 Quasilinear Problems442
    Example: Moving Finite Elements442
    Problems of Index One445
    Numerical Treatment of C(y)y' = f(y)446
    Extrapolation Methods447
    Exercises448
    Chapter VII. Differential-Algebraic Equations
    of Higher Index
    VII.1 The Index and Various Examples452
    Linear Equations with Constant Coefficients452
    Differentiation Index454
    Differential Equations on Manifolds457
    The Perturbation Index459
    Control Problems461
    Mechanical Systems463
    Exercises465
    VII.2 Index Reduction Methods468
    Index Reduction by Differentiation468
    Stabilization by Projection470
    Differential Equations with Invariants472
    Methods Based on Local State Space Forms474
    Overdetermined Differential-Algebraic Equations477
    Unstructured Higher Index Problems478
    Exercises480
    VII.3 Multistep Methods for Index 2 DAE481
    Existence and Uniqueness of Numerical Solution482
    Influence of Perturbations484
    The Local Error485
    Convergence for BDF486
    General Multistep Methods489
    Solution of the Nonlinear System by Simplified Newton490
    Exercises491
    VII.4 Runge-Kutta Methods for Index 2 DAE492
    The Nonlinear System492
    Estimation of the Local Error494
    Convergence for the y -Component496
    Convergence for the 2 -Component497
    Collocation Methods498
    Superconvergence of Collocation Methods500
    Projected Runge-Kutta Methods502
    Summary of Convergence Results504
    Exercises505
    VII.5 Order Conditions for Index 2 DAE506
    Derivatives of the Exact Solution506
    Trees and Elementary Differentials507
    Taylor Expansion of the Exact Solution508
    Derivatives of the Numerical Solution510
    Order Conditions512
    Simplifying Assumptions514
    Projected Runge-Kutta Methods515
    Exercises518
    VII.6 Half-Explicit Methods for Index 2 Systems519
    Half-Explicit Runge-Kutta Methods520
    Extrapolation Methods525
    /3-Blocked Multistep Methods527
    Exercises529
    VII.7 Computation of Multibody Mechanisms530
    Description of the Model530
    Fortran Subroutines533
    Computation of Consistent Initial Values535
    Numerical Computations536
    A Stiff Mechanical System541
    Exercises542
    VII.8 Symplectic Methods for Constrained Hamiltonian Systems543
    Properties of the Exact Flow544
    First Order Symplectic Method545
    SHAKE and RATTLE548
    The Lobatto HIA-IIIB Pair550
    Composition Methods554
    Backward Error Analysis (for ODEs)555
    Backward Error Analysis on Manifolds559
    Exercises562
    Appendix. Fortran Codes565
    Driver for the Code RADAU5566
    Subroutine RADAU5568
    Subroutine RADAUP574
    Subroutine RODAS574
    Subroutine SEULEX575
    Problems with Special Structure575
    Use of SOLOUT and of Dense Output576
    Bibliography577
    Symbol Index605
    Subject Index607