Convex Analysis and Optimization in Hadamard Spaces

Bac<’a>k provides students, academics, researchers, and mathematicians with a systematic account of the development of convex analysis and optimizations in Hadamard spaces. His text is organized in eight sections and covers geometry of nonpositive curvature, convex sets and convex functions, weak convergence in Hadamard spaces, nonexpansive mappings, gradient flow of a convex functional, convex optimization algorithms, probablitistic tools in Hadamard spaces, and Tree Space and its applications. Miroslav Bac<’a>k is a faculty member in the Max Planck Institute for Mathematics in the Sciences in Leipzig, Germany. Annotation c2015 Ringgold, Inc., Portland, OR (protoview.com)

Miroslav Ba?ak, MPI Leipzig, Germany.