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Linear Algebra, Geodesy, and GPS

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Expected 1 Jun 26
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Linear Algebra, Geodesy and GPS discusses algorithms, generally expressed in MATLAB, for geodesy and global positioning. Three parts cover basic linear algebra, the application to the (linear and also nonlinear) science of measurement, and the GPS system and its applications. This book has many strengths. It offers a variety of points of view. It is complete, helpful, and you may find an explanation that appeals to you. .A popular article from (June 1997) "The Mathematics of GPS" is included as an introduction. Annotation c. by Book News, Inc., Portland, Or. Part I: Linear Algebra. Chapter 1: Vectors and Matrices; Chapter 2: Solving Linear Equations; Chapter 3: Vector Spaces and Subspaces; Chapter 4: Orthogonality; Chapter 5: Determinants; Chapter 6: Eigenvalues and Eigenvectors; Chapter 7: Linear Transformations. Part II: Geodesy. Chapter 8: Leveling Networks; Chapter 9: Random Variables and Covariance Matrices; Chapter 10: Nonlinear Problems; Chapter 11: Linear Algebra for Weighted Least Squares; Chapter 12: Constraints for Singular Normal Equations; Chapter 13: Problems with Explicit Solutions. Part III: Global Positioning System (GPS). Chapter 14: Global Positioning System; Chapter 15: Processing of GPS Data; Chapter 16: Random Processes; Chapter 17: Kalman Filters.

640 pages, Hardcover

First published October 1, 1997

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About the author

Gilbert Strang

39 books185 followers
William Gilbert Strang (born November 27, 1934), usually known as simply Gilbert Strang or Gil Strang, is an American mathematician, with contributions to finite element theory, the calculus of variations, wavelet analysis and linear algebra. He has made many contributions to mathematics education, including publishing seven mathematics textbooks and one monograph. Strang is the MathWorks Professor of Mathematics at the Massachusetts Institute of Technology. He teaches Introduction to Linear Algebra and Computational Science and Engineering and his lectures are freely available through MIT OpenCourseWare.

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