Computational Methods for Applied Inverse Problems:
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| Other Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Berlin
De Gruyter
2012
|
| Series: | Inverse and Ill-Posed Problems Series
56 |
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Physical Description: | XIX, 530 S. Ill., graph. Darst. |
| ISBN: | 9783110259049 3110259044 |
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| 245 | 1 | 0 | |a Computational Methods for Applied Inverse Problems |c ed. by Yanfei Wang, Anatoly G. Yagola, Changchun Yang |
| 264 | 1 | |a Berlin |b De Gruyter |c 2012 | |
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IMAGE 1
C O N T E N T S
PREFACE V
EDITOR'S PREFACE VII
I I N T R O D U C T I O N 1
1 S. I. KABANIKHIN
I N V E R S E P R O B L E M S O F M A T H E M A T I C A L P H Y S I C S
3
1.1 INTRODUCTION 3
1.2 EXAMPLES OF INVERSE AND ILL-POSED PROBLEMS 12
1.3 WELL-POSED AND ILL-POSED PROBLEMS 24
1.4 THE TIKHONOV THEOREM 26
1.5 THE IVANOV THEOREM: QUASI-SOLUTION 29
1.6 THE LAVRENTIEV'S METHOD 33
1.7 THE TIKHONOV REGULARIZATION METHOD 35
REFERENCES 44
II R E C E N T A D V A N C E S I N R E G U L A R I Z A T I O N T H E O R
Y A N D M E T H O D S 4 7
2 D. V. LUKYANENKO AND A. G. YAGOLA U S I N G P A R A L L E L C O M P U
T I N G FOR S O L V I N G M U L T I D I M E N S I O N A L I L L - P O S
E D P R O B L E M S 4 9
2.1 INTRODUCTION 49
2.2 USING PARALLEL COMPUTING 51
2.2.1 MAIN IDEA OF PARALLEL COMPUTING 51
2.2.2 PARALLEL COMPUTING LIMITATIONS 52
2.3 PARALLELIZATION OF MULTIDIMENSIONAL ILL-POSED PROBLEM 53
2.3.1 FORMULATION OF THE PROBLEM AND METHOD OF SOLUTION . . . 53
2.3.2 FINITE-DIFFERENCE APPROXIMATION OF THE FUNCTIONAL AND ITS GRADIENT
56
2.3.3 PARALLELIZATION OF THE MINIMIZATION PROBLEM 58
2.4 SOME EXAMPLES OF CALCULATIONS 61
2.5 CONCLUSIONS 63
REFERENCES 63
HTTP://D-NB.INFO/1012312763
IMAGE 2
XII
CONTENTS
3 M. T. NAIR
R E G U L A R I Z A T I O N O F F R E D H O L M I N T E G R A L E Q U A
T I O N S O F T H E F I R S T K I N D U S I N G N Y S T R O M A P P R O
X I M A T I O N 6 5
3.1 INTRODUCTION 65
3.2 NYSTROM METHOD FOR REGULARIZED EQUATIONS 68
3.2.1 NYSTROM APPROXIMATION OF INTEGRAL OPERATORS 68
3.2.2 APPROXIMATION OF REGULARIZED EQUATION 69
3.2.3 SOLVABILITY OF APPROXIMATE REGULARIZED EQUATION 70
3.2.4 METHOD OF NUMERICAL SOLUTION 73
3.3 ERROR ESTIMATES 74
3.3.1 SOME PREPARATORY RESULTS 74
3.3.2 ERROR ESTIMATE WITH RESPECT TO || * ||2 77
3.3.3 ERROR ESTIMATE WITH RESPECT T O || * ||OO 77
3.3.4 A MODIFIED METHOD 78
3.4 CONCLUSION 80
REFERENCES 81
4 T. Y. XIAO, H. ZHANG AND L. L. HAO
R E G U L A R I Z A T I O N O F N U M E R I C A L D I F F E R E N T I A
T I O N : M E T H O D S A N D A P P L I C A T I O N S 8 3
4.1 INTRODUCTION 83
4.2 REGULARIZING SCHEMES 87
4.2.1 BASIC SETTINGS 87
4.2.2 REGULARIZED DIFFERENCE METHOD (RDM) 88
4.2.3 SMOOTHER-BASED REGULARIZATION (SBR) 89
4.2.4 MOLLIFIER REGULARIZATION METHOD (MRM) 90
4.2.5 TIKHONOV'S VARIATIONAL REGULARIZATION (TIVR) 92
4.2.6 LAVRENTIEV REGULARIZATION METHOD (LRM) 93
4.2.7 DISCRETE REGULARIZATION METHOD (DRM) 94
4.2.8 SEMI-DISCRETE TIKHONOV REGULARIZATION (SDTR) 96
4.2.9 TOTAL VARIATION REGULARIZATION (TVR) 99
4.3 NUMERICAL COMPARISONS 102
4.4 APPLIED EXAMPLES 105
4.4.1 SIMPLE APPLIED PROBLEMS 106
4.4.2 THE INVERSE HEAT CONDUCT PROBLEMS (IHCP) 107
4.4.3 THE PARAMETER ESTIMATION IN NEW PRODUCT DIFFUSION MODEL 108
4.4.4 PARAMETER IDENTIFICATION OF STURM-LIOUVILLE OPERATOR . . . 110
4.4.5 THE NUMERICAL INVERSION OF ABEL TRANSFORM 112
4.4.6 THE LINEAR VISCOELASTIC STRESS ANALYSIS 114
4.5 DISCUSSION AND CONCLUSION 115
REFERENCES 117
IMAGE 3
CONTENTS XIII
5 C. L. FU, H. CHENG AND Y. J. MA
N U M E R I C A L A N A L Y T I C C O N T I N U A T I O N A N D R E G U
L A R I Z A T I O N 1 2 1
5.1 INTRODUCTION 121
5.2 DESCRIPTION OF THE PROBLEMS IN STRIP DOMAIN AND SOME ASSUMPTIONS 124
5.2.1 DESCRIPTION OF THE PROBLEMS 124
5.2.2 SOME ASSUMPTIONS 125
5.2.3 THE ILL-POSEDNESS ANALYSIS FOR THE PROBLEMS 5.2.1 AND 5.2.2 125
5.2.4 THE BASIC IDEA OF THE REGULARIZATION FOR PROBLEMS 5.2.1 AND 5.2.2
126
5.3 SOME REGULARIZATION METHODS 126
5.3.1 SOME METHODS FOR SOLVING PROBLEM 5.2.1 126
5.3.2 SOME METHODS FOR SOLVING PROBLEM 5.2.2 133
5.4 NUMERICAL TESTS 135
REFERENCES 140
6 G. S. L I
A N O P T I M A L P E R T U R B A T I O N R E G U L A R I Z A T I O N A
L G O R I T H M FOR F U N C T I O N R E C O N S T R U C T I O N A N D I
T S A P P L I C A T I O N S 1 4 3
6.1 INTRODUCTION 143
6.2 THE OPTIMAL PERTURBATION REGULARIZATION ALGORITHM 144
6.3 NUMERICAL SIMULATIONS 147
6.3.1 INVERSION OF TIME-DEPENDENT REACTION COEFFICIENT 147
6.3.2 INVERSION OF SPACE-DEPENDENT REACTION COEFFICIENT 149 6.3.3
INVERSION OF STATE-DEPENDENT SOURCE TERM 151
6.3.4 INVERSION OF SPACE-DEPENDENT DIFFUSION COEFFICIENT . . . . 157 6.4
APPLICATIONS 159
6.4.1 DETERMINING MAGNITUDE OF POLLUTION SOURCE 159
6.4.2 DATA RECONSTRUCTION IN AN UNDISTURBED SOIL-COLUMN EXPERIMENT 162
6.5 CONCLUSIONS 165
REFERENCES . . . 166
7 L. V. ZOTOV AND V. L. PANTELEEV
F I L T E R I N G A N D I N V E R S E P R O B L E M S S O L V I N G 1 6
9
7.1 INTRODUCTION 169
7.2 SLAE COMPATIBILITY 170
7.3 CONDITIONALITY 171
7.4 PSEUDOSOLUTIONS 173
7.5 SINGULAR VALUE DECOMPOSITION 175
7.6 GEOMETRY OF PSEUDOSOLUTION 177
IMAGE 4
X I V
C O N T E N T S
7.7 INVERSE PROBLEMS FOR THE DISCRETE MODELS OF OBSERVATIONS . . . 178
7.8 THE MODEL IN SPECTRAL DOMAIN 180
7.9 REGULARIZATION OF ILL-POSED SYSTEMS 181
7.10 GENERAL REMARKS, THE DILEMMA OF BIAS AND DISPERSION 181
7.11 MODELS, BASED ON THE INTEGRAL EQUATIONS 184
7.12 PANTELEEV CORRECTIVE FILTERING 185
7.13 PHILIPS-TIKHONOV REGULARIZATION 186
REFERENCES 194
I I I O P T I M A L INVERSE D E S I G N A N D O P T I M I Z A T I O N M
E T H O D S 1 9 5
8 G. S. DULIKRAVICH AND I. N. EGOROV I N V E R S E D E S I G N O F A L L
O Y S ' C H E M I S T R Y FOR S P E C I F I E D T H E R M O - M E C H A
N I C A L P R O P E R T I E S B Y U S I N G M U L T I - O B J E C T I V
E O P T I M I Z A T I O N 1 9 7
8.1 INTRODUCTION 198
8.2 MULTI-OBJECTIVE CONSTRAINED OPTIMIZATION AND RESPONSE SURFACES 199
8.3 SUMMARY OF IOSO ALGORITHM 201
8.4 MATHEMATICAL FORMULATIONS OF OBJECTIVES AND CONSTRAINTS . . . 203
8.5 DETERMINING NAMES OF ALLOYING ELEMENTS AND THEIR CONCENTRA TIONS
FOR SPECIFIED PROPERTIES OF ALLOYS 212
8.6 INVERSE DESIGN OF BULK METALLIC GLASSES 214
8.7 OPEN PROBLEMS 215
8.8 CONCLUSIONS 218
REFERENCES 219
9 Z. H. XIANG
T W O A P P R O A C H E S T O R E D U C E T H E P A R A M E T E R I D E
N T I F I C A T I O N E R R O R S 2 2 1
9.1 INTRODUCTION 221
9.2 THE OPTIMAL SENSOR PLACEMENT DESIGN 223
9.2.1 THE WELL-POSEDNESS ANALYSIS OF THE PARAMETER IDENTIFICA TION
PROCEDURE 223
9.2.2 THE ALGORITHM FOR OPTIMAL SENSOR PLACEMENT DESIGN . . . 226 9.2.3
THE INTEGRATED OPTIMAL SENSOR PLACEMENT AND PARAMETER IDENTIFICATION
ALGORITHM 229
9.2.4 EXAMPLES 229
9.3 THE REGULARIZATION METHOD WITH THE ADAPTIVE UPDATING OF APRIORI
INFORMATION 233
IMAGE 5
CONTENTS X V
9.3.1 MODIFIED EXTENDED BAYESIAN METHOD FOR PARAMETER IDENTIFICATION 234
9.3.2 THE WELL-POSEDNESS ANALYSIS OF MODIFIED EXTENDED BAYESIAN METHOD
234
9.3.3 EXAMPLES 236
9.4 CONCLUSION 238
REFERENCES 238
10 Y. H. DAI
A G E N E R A L C O N V E R G E N C E R E S U L T FOR T H E B F G S M E
T H O D 2 4 1
10.1 INTRODUCTION 241
10.2 THE BFGS ALGORITHM 243
10.3 A GENERAL CONVERGENCE RESULT FOR THE BFGS ALGORITHM . . . . 244
10.4 CONCLUSION AND DISCUSSIONS 246
REFERENCES 247
I V R E C E N T A D V A N C E S I N INVERSE S C A T T E R I N G 2 4 9
11 X. D. LIU AND B. ZHANG U N I Q U E N E S S R E S U L T S FOR I N V E
R S E S C A T T E R I N G P R O B L E M S 2 5 1
11.1 INTRODUCTION 251
11.2 UNIQUENESS FOR INHOMOGENEITY N 256
11.3 UNIQUENESS FOR SMOOTH OBSTACLES 256
11.4 UNIQUENESS FOR POLYGON OR POLYHEDRA 262
11.5 UNIQUENESS FOR BALLS OR DISCS 263
11.6 UNIQUENESS FOR SURFACES OR CURVES 265
11.7 UNIQUENESS RESULTS IN A LAYERED MEDIUM 265
11.8 OPEN PROBLEMS 272
REFERENCES 276
12 G. BAO AND P. J. LI
S H A P E R E C O N S T R U C T I O N O F I N V E R S E M E D I U M S C
A T T E R I N G FOR T H E H E L M H O L T Z E Q U A T I O N 2 8 3
12.1 INTRODUCTION 283
12.2 ANALYSIS OF THE SCATTERING MAP 285
12.3 INVERSE MEDIUM SCATTERING 290
12.3.1 SHAPE RECONSTRUCTION 291
12.3.2 BORN APPROXIMATION 292
12.3.3 RECURSIVE LINEARIZATION 294
12.4 NUMERICAL EXPERIMENTS 298
12.5 CONCLUDING REMARKS 303
REFERENCES 303
IMAGE 6
XVI CONTENTS
V INVERSE V I B R A T I O N , D A T A P R O C E S S I N G A N D I M A G
I N G 3 0 7
1 3 G. M. KURAMSHINA, I. V. KOCHIKOV AND A. V. STEPANOVA N U M E R I C A
L A S P E C T S O F T H E C A L C U L A T I O N O F M O L E C U L A R F
O R C E F I E L D S F R O M E X P E R I M E N T A L D A T A 3 0 9
13.1 INTRODUCTION 309
13.2 MOLECULAR FORCE FIELD MODELS 311
13.3 FORMULATION OF INVERSE VIBRATION PROBLEM 312
13.4 CONSTRAINTS ON THE VALUES OF FORCE CONSTANTS BASED ON QUANTUM
MECHANICAL CALCULATIONS 314
13.5 GENERALIZED INVERSE STRUCTURAL PROBLEM 319
13.6 COMPUTER IMPLEMENTATION 321
13.7 APPLICATIONS 323
REFERENCES 327
1 4 J. J. LIU AND H. L. X U
S O M E M A T H E M A T I C A L P R O B L E M S I N B I O M E D I C A L
I M A G I N G 3 3 1
14.1 INTRODUCTION 331
14.2 MATHEMATICAL MODELS 334
14.2.1 FORWARD PROBLEM 334
14.2.2 INVERSE PROBLEM 336
14.3 HARMONIC B Z ALGORITHM 339
14.3.1 ALGORITHM DESCRIPTION 340
14.3.2 CONVERGENCE ANALYSIS 342
14.3.3 THE STABLE COMPUTATION OF AB Z 344
14.4 INTEGRAL EQUATIONS METHOD 348
14.4.1 ALGORITHM DESCRIPTION 348
14.4.2 REGULARIZATION AND DISCRETIZATION 352
14.5 NUMERICAL EXPERIMENTS 354
REFERENCES 362
V I N U M E R I C A L INVERSION I N G E O S C I E N C E S 3 6 7
15 S. I. KABANIKHIN AND M. A. SHISHLENIN N U M E R I C A L M E T H O D S
FOR S O L V I N G I N V E R S E H Y P E R B O L I C P R O B L E M S 3 6
9
15.1 INTRODUCTION 369
15.2 GEL'FAND-LEVITAN-KREIN METHOD 370
15.2.1 THE TWO-DIMENSIONAL ANALOGY OF GEL'FAND-LEVITAN-KREIN EQUATION
374
15.2.2 AF-APPROXIMATION OF GEL'FAND-LEVITAN-KREIN EQUATION . . 377
IMAGE 7
CONTENTS XVII
15.2.3 NUMERICAL RESULTS AND REMARKS 379
15.3 LINEARIZED MULTIDIMENSIONAL INVERSE PROBLEM FOR THE WAVE EQUATION
379
15.3.1 PROBLEM FORMULATION 381
15.3.2 LINEARIZATION 382
15.4 MODIFIED LANDWEBER ITERATION 384
15.4.1 STATEMENT OF THE PROBLEM 385
15.4.2 LANDWEBER ITERATION 387
15.4.3 MODIFICATION OF ALGORITHM 388
15.4.4 NUMERICAL RESULTS 389
REFERENCES 390
1 6 H. B. SONG, X. H. HUANG, L. M. PINHEIRO, Y. SONG, C. Z. DONG AND Y.
BAI I N V E R S I O N S T U D I E S I N S E I S M I C O C E A N O G R A
P H Y 3 9 5
16.1 INTRODUCTION OF SEISMIC OCEANOGRAPHY 395
16.2 THERMOHALINE STRUCTURE INVERSION 398
16.2.1 INVERSION METHOD FOR TEMPERATURE AND SALINITY 398
16.2.2 INVERSION EXPERIMENT OF SYNTHETIC SEISMIC D A T A 399
16.2.3 INVERSION EXPERIMENT OF GO D A T A (HUANG ET AL., 2011) . 402
16.3 DISCUSSION AND CONCLUSION 406
REFERENCES 408
1 7 L. J. GELIUS I M A G E R E S O L U T I O N B E Y O N D T H E C L A S
S I C A L L I M I T 4 1 1
17.1 INTRODUCTION 411
17.2 APERTURE AND RESOLUTION FUNCTIONS 412
17.3 DECONVOLUTION APPROACH TO IMPROVED RESOLUTION 417
17.4 MUSIC PSEUDO-SPECTRUM APPROACH T O IMPROVED RESOLUTION . . 424 17.5
CONCLUDING REMARKS 434
REFERENCES 436
1 8 Y. F. WANG, Z. H. LI AND C. C. YANG
S E I S M I C M I G R A T I O N A N D I N V E R S I O N 4 3 9
18.1 INTRODUCTION 439
18.2 MIGRATION METHODS: A BRIEF REVIEW 440
18.2.1 KIRCHHOFF MIGRATION 440
18.2.2 WAVE FIELD EXTRAPOLATION 441
18.2.3 FINITE DIFFERENCE MIGRATION IN OJ - X DOMAIN 442
18.2.4 PHASE SHIFT MIGRATION 443
18.2.5 STOLT MIGRATION 443
18.2.6 REVERSE TIME MIGRATION 446
IMAGE 8
XVIII
CONTENTS
18.2.7 GAUSSIAN BEAM MIGRATION 447
18.2.8 INTERFEROMETRIC MIGRATION 447
18.2.9 RAY TRACING 449
18.3 SEISMIC MIGRATION AND INVERSION 452
18.3.1 THE FORWARD MODEL 454
18.3.2 MIGRATION DECONVOLUTION 456
18.3.3 REGULARIZATION MODEL 4-57
18.3.4 SOLVING METHODS BASED ON OPTIMIZATION 458
18.3.5 PRECONDITIONING 462
18.3.6 PRECONDITIONERS 464
18.4 ILLUSTRATIVE EXAMPLES 465
18.4.1 REGULARIZED MIGRATION INVERSION FOR POINT DIFFRACTION SCATTERERS
465
18.4.2 COMPARISON WITH THE INTERFEROMETRIC MIGRATION 468
18.5 CONCLUSION 468
REFERENCES 471
1 9 Y. F. WANG, J. J. CAO, T. SUN AND C. C. YANG
S E I S M I C W A V E F I E L D S I N T E R P O L A T I O N B A S E D O
N S P A R S E R E G U L A R I Z A T I O N A N D C O M P R E S S I V E S
E N S I N G 4 7 5
19.1 INTRODUCTION 475
19.2 SPARSE TRANSFORMS 477
19.2.1 FOURIER, WAVELET, RADON AND RIDGELET TRANSFORMS 477
19.2.2 THE CURVELET TRANSFORM 480
19.3 SPARSE REGULARIZING MODELING 481
19.3.1 MINIMIZATION IN LO SPACE 481
19.3.2 MINIMIZATION IN L\ SPACE 481
19.3.3 MINIMIZATION IN L P -L Q SPACE 482
19.4 BRIEF REVIEW OF PREVIOUS METHODS IN MATHEMATICS 482
19.5 SPARSE OPTIMIZATION METHODS 485
19.5.1 LO QUASI-NORM APPROXIMATION METHOD 485
19.5.2 ZI-NORM APPROXIMATION METHOD 487
19.5.3 LINEAR PROGRAMMING METHOD 489
19.5.4 ALTERNATING DIRECTION METHOD 491
19.5.5 ZI-NORM CONSTRAINED TRUST REGION METHOD 493
19.6 SAMPLING 496
19.7 NUMERICAL EXPERIMENTS 497
19.7.1 RECONSTRUCTION OF SHOT GATHERS 497
19.7.2 FIELD D A T A 498
19.8 CONCLUSION 503
REFERENCES 503
IMAGE 9
CONTENTS XIX
20 H. YANG S O M E R E S E A R C H E S O N Q U A N T I T A T I V E R E M
O T E S E N S I N G I N V E R S I O N 5 0 9 20.1 INTRODUCTION 509
20.2 MODELS 511
20.3 A PRIORI KNOWLEDGE 514
20.4 OPTIMIZATION ALGORITHMS 516
20.5 MULTI-STAGE INVERSION STRATEGY 520
20.6 CONCLUSION 524
REFERENCES 525
I N D E X 5 2 9 |
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| discipline | Mathematik |
| format | Book |
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| genre | (DE-588)1071861417 Konferenzschrift 2010 Peking gnd-content |
| genre_facet | Konferenzschrift 2010 Peking |
| id | DE-604.BV040517082 |
| illustrated | Illustrated |
| indexdate | 2024-08-21T00:17:52Z |
| institution | BVB |
| isbn | 9783110259049 3110259044 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025363467 |
| oclc_num | 844022671 |
| open_access_boolean | |
| owner | DE-11 DE-355 DE-BY-UBR |
| owner_facet | DE-11 DE-355 DE-BY-UBR |
| physical | XIX, 530 S. Ill., graph. Darst. |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | De Gruyter |
| record_format | marc |
| series | Inverse and Ill-Posed Problems Series |
| series2 | Inverse and Ill-Posed Problems Series |
| spelling | Computational Methods for Applied Inverse Problems ed. by Yanfei Wang, Anatoly G. Yagola, Changchun Yang Berlin De Gruyter 2012 XIX, 530 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Inverse and Ill-Posed Problems Series 56 Inverses Problem (DE-588)4125161-1 gnd rswk-swf Inkorrekt gestelltes Problem (DE-588)4186951-5 gnd rswk-swf Numerisches Verfahren (DE-588)4128130-5 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2010 Peking gnd-content Inverses Problem (DE-588)4125161-1 s Inkorrekt gestelltes Problem (DE-588)4186951-5 s Numerisches Verfahren (DE-588)4128130-5 s DE-604 Wang, Yanfei edt Jagola, Anatolij G. (DE-588)172515351 edt Yang, Changchun (DE-588)143932128 edt Inverse and Ill-Posed Problems Series 56 (DE-604)BV037286556 56 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3832648&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025363467&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Computational Methods for Applied Inverse Problems Inverse and Ill-Posed Problems Series Inverses Problem (DE-588)4125161-1 gnd Inkorrekt gestelltes Problem (DE-588)4186951-5 gnd Numerisches Verfahren (DE-588)4128130-5 gnd |
| subject_GND | (DE-588)4125161-1 (DE-588)4186951-5 (DE-588)4128130-5 (DE-588)1071861417 |
| title | Computational Methods for Applied Inverse Problems |
| title_auth | Computational Methods for Applied Inverse Problems |
| title_exact_search | Computational Methods for Applied Inverse Problems |
| title_full | Computational Methods for Applied Inverse Problems ed. by Yanfei Wang, Anatoly G. Yagola, Changchun Yang |
| title_fullStr | Computational Methods for Applied Inverse Problems ed. by Yanfei Wang, Anatoly G. Yagola, Changchun Yang |
| title_full_unstemmed | Computational Methods for Applied Inverse Problems ed. by Yanfei Wang, Anatoly G. Yagola, Changchun Yang |
| title_short | Computational Methods for Applied Inverse Problems |
| title_sort | computational methods for applied inverse problems |
| topic | Inverses Problem (DE-588)4125161-1 gnd Inkorrekt gestelltes Problem (DE-588)4186951-5 gnd Numerisches Verfahren (DE-588)4128130-5 gnd |
| topic_facet | Inverses Problem Inkorrekt gestelltes Problem Numerisches Verfahren Konferenzschrift 2010 Peking |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=3832648&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025363467&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV037286556 |
| work_keys_str_mv | AT wangyanfei computationalmethodsforappliedinverseproblems AT jagolaanatolijg computationalmethodsforappliedinverseproblems AT yangchangchun computationalmethodsforappliedinverseproblems |