| 000 | 06864cam a2200901Ii 4500 | ||
|---|---|---|---|
| 001 | ocn858761758 | ||
| 003 | OCoLC | ||
| 005 | 20220517104238.0 | ||
| 006 | m d | ||
| 007 | cr |n||||||||| | ||
| 008 | 130921t20132013gw a ob 000 0 eng d | ||
| 010 | _a 2013015791 | ||
| 040 |
_aEBLCP _beng _erda _epn _cEBLCP _dOCLCO _dUMC _dN$T _dDEBSZ _dE7B _dOCLCQ _dOCLCF _dDEBBG _dYDXCP _dNKT _dAGLDB _dMOR _dPIFAG _dZCU _dMERUC _dOCLCQ _dDEGRU _dU3W _dSTF _dVTS _dICG _dINT _dVT2 _dOCLCQ _dWYU _dTKN _dOSU _dOCLCQ _dLEAUB _dDKC _dOCLCQ _dUKAHL _dOCLCQ _dUKKNU _dC6I _dELW _dOCLCQ _dSFB _dOCLCO _dN$T |
||
| 019 |
_a880456860 _a961552765 _a962580249 _a992835630 _a1055335372 _a1065703553 _a1081290637 _a1086964108 _a1107367214 _a1111288822 _a1144286639 _a1162205561 _a1224938514 |
||
| 020 |
_a9783110282269 _q(electronic bk.) |
||
| 020 |
_a3110282267 _q(electronic bk.) |
||
| 020 | _a3110282224 | ||
| 020 | _a9783110282221 | ||
| 029 | 1 |
_aAU@ _b000054195466 |
|
| 029 | 1 |
_aCHBIS _b010396781 |
|
| 029 | 1 |
_aCHNEW _b001057447 |
|
| 029 | 1 |
_aCHVBK _b33122853X |
|
| 029 | 1 |
_aCHVBK _b569638151 |
|
| 029 | 1 |
_aDEBBG _bBV042348598 |
|
| 029 | 1 |
_aDEBBG _bBV042988448 |
|
| 029 | 1 |
_aDEBBG _bBV043037410 |
|
| 029 | 1 |
_aDEBBG _bBV043787290 |
|
| 029 | 1 |
_aDEBBG _bBV044062432 |
|
| 029 | 1 |
_aDEBSZ _b397466625 |
|
| 029 | 1 |
_aDEBSZ _b421242337 |
|
| 029 | 1 |
_aDEBSZ _b472799312 |
|
| 029 | 1 |
_aAU@ _b000066526231 |
|
| 035 |
_a(OCoLC)858761758 _z(OCoLC)880456860 _z(OCoLC)961552765 _z(OCoLC)962580249 _z(OCoLC)992835630 _z(OCoLC)1055335372 _z(OCoLC)1065703553 _z(OCoLC)1081290637 _z(OCoLC)1086964108 _z(OCoLC)1107367214 _z(OCoLC)1111288822 _z(OCoLC)1144286639 _z(OCoLC)1162205561 _z(OCoLC)1224938514 |
||
| 037 |
_a102369 _bKnowledge Unlatched |
||
| 050 | 4 |
_aQA378.5 _b.L37 2013 |
|
| 072 | 7 |
_aMAT _x005000 _2bisacsh |
|
| 072 | 7 |
_aMAT _x034000 _2bisacsh |
|
| 072 | 7 |
_aPBW _2bicssc |
|
| 082 | 0 | 4 |
_a515.357 _a515/.357 |
| 049 | _aN$TA | ||
| 245 | 0 | 0 |
_aLarge scale inverse problems : _bcomputational methods and applications in the earth sciences / _cedited by Mike Cullen, Melina A. Freitag, Stefan Kindermann, Robert Scheichl. |
| 264 | 1 |
_aBerlin ; _aBoston : _bDe Gruyter, _c[2013] |
|
| 264 | 4 | _c©2013 | |
| 300 |
_a1 online resource (ix, 203 pages) : _billustrations |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 490 | 1 | _aRadon Series on Computational and Applied Mathematics | |
| 504 | _aIncludes bibliographical references. | ||
| 505 | 0 | _aPreface; Synergy of inverse problems and data assimilation techniques; 1 Introduction; 2 Regularization theory; 3 Cycling, Tikhonov regularization and 3DVar; 4 Error analysis; 5 Bayesian approach to inverse problems; 6 4DVar; 7 Kalman filter and Kalman smoother; 8 Ensemble methods; 9 Numerical examples; 9.1 Data assimilation for an advection-diffusion system; 9.2 Data assimilation for the Lorenz-95 system; 10 Concluding remarks; Variational data assimilation for very large environmental problems; 1 Introduction; 2 Theory of variational data assimilation. | |
| 505 | 8 | _a2.1 Incremental variational data assimilation3 Practical implementation; 3.1 Model development; 3.2 Background error covariances; 3.3 Observation errors; 3.4 Optimization methods; 3.5 Reduced order approaches; 3.6 Issues for nested models; 3.7 Weak-constraint variational assimilation; 4 Summary and future perspectives; Ensemble filter techniques for intermittent data assimilation; 1 Bayesian statistics; 1.1 Preliminaries; 1.2 Bayesian inference; 1.3 Coupling of random variables; 1.4 Monte Carlo methods; 2 Stochastic processes; 2.1 Discrete time Markov processes. | |
| 505 | 8 | _a2.2 Stochastic difference and differential equations2.3 Ensemble prediction and sampling methods; 3 Data assimilation and filtering; 3.1 Preliminaries; 3.2 SequentialMonte Carlo method; 3.3 Ensemble Kalman filter (EnKF); 3.4 Ensemble transform Kalman-Bucy filter; 3.5 Guided sequential Monte Carlo methods; 3.6 Continuous ensemble transform filter formulations; 4 Concluding remarks; Inverse problems in imaging; 1 Mathematicalmodels for images; 2 Examples of imaging devices; 2.1 Optical imaging; 2.2 Transmission tomography; 2.3 Emission tomography; 2.4 MR imaging; 2.5 Acoustic imaging. | |
| 505 | 8 | _a2.6 Electromagnetic imaging3 Basic image reconstruction; 3.1 Deblurring and point spread functions; 3.2 Noise; 3.3 Reconstruction methods; 4 Missing data and prior information; 4.1 Prior information; 4.2 Undersampling and superresolution; 4.3 Inpainting; 4.4 Surface imaging; 5 Calibration problems; 5.1 Blind deconvolution; 5.2 Nonlinear MR imaging; 5.3 Attenuation correction in SPECT; 5.4 Blind spectral unmixing; 6 Model-based dynamic imaging; 6.1 Kinetic models; 6.2 Parameter identification; 6.3 Basis pursuit; 6.4 Motion and deformation models; 6.5 Advanced PDE models. | |
| 505 | 8 | _aThe lost honor of l2-based regularization1 Introduction; 2 l1-based regularization; 3 Poor data; 4 Large, highly ill-conditioned problems; 4.1 Inverse potential problem; 4.2 The effect of ill-conditioning on L1 regularization; 4.3 Nonlinear, highly ill-posed examples; 5 Summary; List of contributors. | |
| 520 | _aThis book is thesecond volume of three volume series recording the ""Radon Special Semester 2011 on Multiscale Simulation & Analysis in Energy and the Environment"" taking place in Linz, Austria, October 3-7, 2011. The volume addresses the common ground in the mathematical and computational procedures required for large-scale inverse problems and data assimilation in forefront applications. | ||
| 588 | 0 | _aPrint version record. | |
| 542 | 1 |
_fThis work is licensed under a Creative Commons license _uhttps://creativecommons.org/licenses/by-nc-nd/4.0/legalcode |
|
| 546 | _aEnglish. | ||
| 506 | 0 |
_aOpen Access _5EbpS |
|
| 650 | 0 | _aInverse problems (Differential equations) | |
| 650 | 7 |
_aApplied mathematics. _2bicssc _9381 |
|
| 650 | 7 |
_aMATHEMATICS _xCalculus. _2bisacsh _928352 |
|
| 650 | 7 |
_aMATHEMATICS _xMathematical Analysis. _2bisacsh _928353 |
|
| 650 | 7 |
_aInverse problems (Differential equations) _2fast _0(OCoLC)fst00978098 |
|
| 655 | 0 | _aElectronic books. | |
| 655 | 4 | _aElectronic books. | |
| 700 | 1 |
_aCullen, Michael J. P., _eeditor. _928354 |
|
| 700 | 1 |
_aFreitag, Melina A., _d1980- _eeditor. _928355 |
|
| 700 | 1 |
_aKindermann, Stefan, _d1972- _eeditor. _928356 |
|
| 700 | 1 |
_aScheichl, Robert, _d1972- _eeditor. _928357 |
|
| 776 | 0 | 8 |
_iPrint version: _aScheichl, Robert. _tLarge Scale Inverse Problems : Computational Methods and Applications in the Earth Sciences. _dBerlin : De Gruyter, ©2013 _z9783110282221 |
| 830 | 0 |
_aRadon series on computational and applied mathematics. _96267 |
|
| 856 | 4 | 0 |
_3EBSCOhost _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=641761 |
| 938 |
_aEBSCOhost _bEBSC _n641761 |
||
| 942 | _cEBK | ||
| 994 |
_aC0 _bN$T |
||
| 999 |
_c4713 _d4713 |
||