Buch, Englisch, 273 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g
Reihe: Lecture Notes in Geosystems Mathematics and Computing
Basics, Theory and Applications in Geophysics
Buch, Englisch, 273 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g
Reihe: Lecture Notes in Geosystems Mathematics and Computing
ISBN: 978-3-030-59316-2
Verlag: Springer International Publishing
Beginning with four examples of inverse problems, the opening chapter establishes core concepts, such as formalizing these problems as equations in vector spaces and addressing the key issue of ill-posedness. Chapter Two then moves on to the discretization of inverse problems, which is a prerequisite for solving them on computers. Readers will be well-prepared for the final chapters that present regularized solutions of inverse problems in finite-dimensional spaces, with Chapter Three covering linear problems and Chapter Four studying nonlinear problems. Model problems reflecting scenarios of practical interest in the geosciences, such as inverse gravimetry and full waveform inversion, are fully worked out throughout the book. They are used as test cases to illustrate all single steps of solving inverse problems, up to numerical computations. Five appendices include the mathematical foundations needed to fully understand the material.
This second edition expands upon the first, particularly regarding its up-to-date treatment of nonlinear problems. Following the author’s approach, readers will understand the relevant theory and methodology needed to pursue more complex applications. Inverse Problems is ideal for graduate students and researchers interested in geophysics and geosciences.
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Characterization of Inverse Problems.- Discretization of Inverse Problems.- Regularization of Linear Inverse Problems.- Regularization of Nonlinear Inverse Problems.- Appendix A. Results from Linear Algebra.- Appendix B. Function Spaces.- Appendix C. The Fourier Transform.- Appendix D. Regularization Property of CGNE.- Appendix E. Existence and Uniqueness Theorems for Waveform Inversion.