Mariette Yvinec – författare

Visar alla böcker från författaren Mariette Yvinec. Handla med fri frakt och snabb leverans.

5 produkter

1. 

   Algorithmic Geometry

   Av Jean-Daniel Boissonnat, Mariette Yvinec

   Häftad, 1998

   1025 kr

   Lägg i varukorg

   The design and analysis of geometric algorithms have seen remarkable growth in recent years, due to their application in, for example, computer vision, graphics, medical imaging and CAD. The goals of this book are twofold: first to provide a coherent and systematic treatment of the foundations; …

2. 

   Geometric and Topological Inference

   Av Mariette Yvinec, Frederic Chazal m. fl.

   E-bok, 2018

   638 kr

   Lägg i varukorg

   Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of …

3. 

   Geometric and Topological Inference

   Av Mariette Yvinec, Frederic Chazal m. fl.

   E-bok, 2018

   652 kr

   Lägg i varukorg

   Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of …

4. 

   Geometric and Topological Inference

   Av Jean-Daniel Boissonnat, Frédéric Chazal m. fl.

   Häftad, 2018

   667 kr

   Lägg i varukorg

   Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of …

5. 

   Geometric and Topological Inference

   Av Jean-Daniel Boissonnat, Frédéric Chazal m. fl.

   Inbunden, 2018

   1090 kr

   Lägg i varukorg

   Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of …