000			01837 a2200277 4500
999			_c5761 _d5761
005			20250901105314.0
008			250829b ||||| |||| 00| 0 eng d
020			_a9780128046517
041			_aeng
082			_a515.357 AST/P
100			_aAster, Richard C. _914489
245			_aParameter estimation and inverse problems
250			_a3rd ed.
260			_bElsevier _aAmsterdam _cc2019
300			_axi, 392p.; 24cm.
500			_aTable of contents 1. Introduction 2. Linear Regression 3. Rank Deficiency and Ill-Conditioning 4. Tikhonov Regularization 5. Discretizing by Basis Functions 6. Iterative Methods of Solving Linear Problems 7. Additional Regularization Techniques 8. Fourier Techniques 9. Nonlinear Regression 10. Nonlinear Inverse Problems 11. Bayesian Methods 12 Adjoint Methods
520			_aParameter Estimation and Inverse Problems, Third Edition, is structured around a course at New Mexico Tech and is designed to be accessible to typical graduate students in the physical sciences who do not have an extensive mathematical background. The book is complemented by a companion website that includes MATLAB codes that correspond to examples that are illustrated with simple, easy to follow problems that illuminate the details of particular numerical methods. Updates to the new edition include more discussions of Laplacian smoothing, an expansion of basis function exercises, the addition of stochastic descent, an improved presentation of Fourier methods and exercises, and more.
650			_aMathematics _914490
650			_aAnalysis _98165
650			_aDifferential calculus _9929
650			_aDifferential equations _9374
700			_aBorchers, Brian _914491
700			_aThurber, Clifford H. _914492
856			_uhttps://doi.org/10.1016/C2015-0-02458-3
942			_cBK