欢迎来到天天文库
浏览记录
ID:39994655
大小:445.64 KB
页数:78页
时间:2019-07-16
《(Burger)Inverse Problems》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、LectureNotesInverseProblemsWinter2007/08MartinBurgerInstitutf¨urNumerischeundAngewandteMathematikWestf¨alischeWilhelms-Universit¨atM¨unstermartin.burger@uni-muenster.de1Contents1Introduction42ExamplesofInverseProblems62.1DifferentiationofData...............................62.2ComputerizedTomo
2、graphy:RadonInversion..................92.3ImageDenoisingandDeblurring.........................102.4ParameterIdentification..............................112.5ImpedanceTomography..............................132.6InverseScattering..................................143RegularizationofLinearIll-P
3、osedProblems163.1Ill-ConditionedMatrixEquations.........................163.2GeneralizedInverses................................193.3CompactLinearOperators............................213.4RegularizationMethods..............................243.5ConstructionofRegularizationMethods.............
4、........273.6ConvergenceRates.................................324Tikhonov-typeRegularization354.1TikhonovRegularization..............................354.2ConstructionofTikhonov-typeRegularizationMethods............414.3Maximum-EntropyRegularization........................414.4TotalVariationR
5、egularization..........................425IterativeRegularization475.1LandweberIteration................................475.2ConjugateGradientMethods...........................515.3Newton-typeMethods...............................525.4IterativeMethodsasTime-DiscreteFlows....................5
6、36Discretization546.1RegularizationbyProjection...........................546.2DiscretizationofRegularizedProblems......................566.3NumericalSolutionofDiscretizedProblems...................5727ParameterIdentification597.1DerivativesandtheAdjointMethod.......................607.2Regul
7、arization...................................627.2.1IterativeRegularizationbytheLevenberg-MarquardtMethod.....657.3LargeScaleProblems...............................658ShapeReconstructionProblems678.1ShapeSensitivityAnalysis..........................
此文档下载收益归作者所有