From the reviews: "This book provides an introduction to this geometry. ... Overall, the book ... does explain relevant mathematical notions, such as Gromov's metric geometry ideas, in a very understandable and entertaining way, with numerous images and exercises. ... I highly recommend it to both computer scientists interested in learning more about the latest advances in computational geometry and to geometers looking for applications. This unique book can serve as an excellent textbook for many related courses, for self-study, or as a reference." (V. Kreinovich, ACM Computing Reviews, May, 2009) "Numerical geometry of non-rigid shapes by A. Bronstein, M. Bronstein, and R. Kimmel combines the beauty of modern mathematics ... with the interesting field of computer vision and pattern recognition. ... The book is developed at an intermediate-advanced level. Students will find the material clear and easy to understand, and will benefit from its good presentation." (Stefan Henn, Mathematical Reviews, Issue 2010 b)

• A Taste of Geometry.- Discrete Geometry.- Shortest Paths and Fast Marching Methods.- Numerical Optimization.- In the Rigid Kingdom.- Multidimensional Scaling.- Spectral Embedding.- Non Euclidean Embedding.- Isometry Invariant Similarity.- Partial Similarity.- Non rigid Correspondence and Calculus of Shapes.- Three dimensional Face Recognition.- Epilogue.

From the reviews: "This book provides an introduction to this geometry. ... Overall, the book ... does explain relevant mathematical notions, such as Gromov's metric geometry ideas, in a very understandable and entertaining way, with numerous images and exercises. ... I highly recommend it to both computer scientists interested in learning more about the latest advances in computational geometry and to geometers looking for applications. This unique book can serve as an excellent textbook for many related courses, for self-study, or as a reference." (V. Kreinovich, ACM Computing Reviews, May, 2009) "Numerical geometry of non-rigid shapes by A. Bronstein, M. Bronstein, and R. Kimmel combines the beauty of modern mathematics ... with the interesting field of computer vision and pattern recognition. ... The book is developed at an intermediate-advanced level. Students will find the material clear and easy to understand, and will benefit from its good presentation." (Stefan Henn, Mathematical Reviews, Issue 2010 b)

• A Taste of Geometry.- Discrete Geometry.- Shortest Paths and Fast Marching Methods.- Numerical Optimization.- In the Rigid Kingdom.- Multidimensional Scaling.- Spectral Embedding.- Non Euclidean Embedding.- Isometry Invariant Similarity.- Partial Similarity.- Non rigid Correspondence and Calculus of Shapes.- Three dimensional Face Recognition.- Epilogue.

From the reviews: "This book provides an introduction to this geometry. ... Overall, the book ... does explain relevant mathematical notions, such as Gromov's metric geometry ideas, in a very understandable and entertaining way, with numerous images and exercises. ... I highly recommend it to both computer scientists interested in learning more about the latest advances in computational geometry and to geometers looking for applications. This unique book can serve as an excellent textbook for many related courses, for self-study, or as a reference." (V. Kreinovich, ACM Computing Reviews, May, 2009) "Numerical geometry of non-rigid shapes by A. Bronstein, M. Bronstein, and R. Kimmel combines the beauty of modern mathematics ... with the interesting field of computer vision and pattern recognition. ... The book is developed at an intermediate-advanced level. Students will find the material clear and easy to understand, and will benefit from its good presentation." (Stefan Henn, Mathematical Reviews, Issue 2010 b)

• A Taste of Geometry.- Discrete Geometry.- Shortest Paths and Fast Marching Methods.- Numerical Optimization.- In the Rigid Kingdom.- Multidimensional Scaling.- Spectral Embedding.- Non Euclidean Embedding.- Isometry Invariant Similarity.- Partial Similarity.- Non rigid Correspondence and Calculus of Shapes.- Three dimensional Face Recognition.- Epilogue.