A rigorous introduction to geometric and topological inference, for anyone interested in a geometric approach to data science.
The goals of this book are twofold: first to provide a coherent and systematic treatment of the foundations; secondly to present algorithmic solutions that are amenable to rigorous analysis and are efficient in practical situations.
Combining expertise from the fields of molecular biology, biochemistry, and histopathology, advances in the management of these tumors are elaborated. The book also provides information on the endonuclear diagnosis of adrenal tumors.
La géométrie algorithmique apparaît à l’intersection de la géométrie et de l’informatique. Comment échantillonner, représenter et traiter des formes géométriques complexes ?
The intent of this book is to settle the foundations of non-linear computational geometry.