The evolution of constraint based geometric models is tightly tied to parametric and feature-based Computer-Aided Design (CAD) systems. Since the introduction of parametric design by Pro/Engineer in the 1980's, most major CAD systems adopted constraint based geometric models as a core technology. Constraint based geometric models allowed CAD systems to provide a more powerful data model while offering an intuitive user interface. Later on, the same models also found application to fields like linkage design, chemical modeling, computer vision and dynamic geometry. Constraint based geometric models are unevaluated models. A key problem related to constraint based geometric models is the geometric constraint based solving problem which, roug...
This thesis addresses the development of techniques to build fully-automatic tools for analyzing seq...
Mathematical programming is a technique that can be used to solve real-world optimization problems, ...
Mathematical programming is a technique that can be used to solve real-world optimization problems, ...
The evolution of constraint based geometric models is tightly tied to parametric and feature-based C...
Big Data is a concept related to extremely large databases so that they cannot be processed with st...
Automata are a widely used formalism in computer science as a concise representation for sets. They ...
Techniques devoted to deform 3D models are an important research field in Computer Graphics. They ca...
Geometric Reasoning ability is central to many applications in CAD/CAM/CAPP environments. An increas...
Nowadays, the main computational bottleneck in computer-assisted industrial design procedures is th...
Automata are a widely used formalism in computer science as a concise representation for sets. They ...
Constraint Logic Programming (CLP) is a declarative paradigm that extends Logic Programming (LP) wit...
Tesi en cotutel·la: Universitat Politècnica de Catalunya i Università degli Studi di PaviaThis disse...
Tesi en cotutel·la: Universitat Politècnica de Catalunya i Università degli Studi di PaviaThis disse...
Constraint Logic Programming (CLP) is a declarative paradigm that extends Logic Programming (LP) wit...
The present thesis explores the viability of the proper generalised decomposition (PGD) as a tool fo...
This thesis addresses the development of techniques to build fully-automatic tools for analyzing seq...
Mathematical programming is a technique that can be used to solve real-world optimization problems, ...
Mathematical programming is a technique that can be used to solve real-world optimization problems, ...
The evolution of constraint based geometric models is tightly tied to parametric and feature-based C...
Big Data is a concept related to extremely large databases so that they cannot be processed with st...
Automata are a widely used formalism in computer science as a concise representation for sets. They ...
Techniques devoted to deform 3D models are an important research field in Computer Graphics. They ca...
Geometric Reasoning ability is central to many applications in CAD/CAM/CAPP environments. An increas...
Nowadays, the main computational bottleneck in computer-assisted industrial design procedures is th...
Automata are a widely used formalism in computer science as a concise representation for sets. They ...
Constraint Logic Programming (CLP) is a declarative paradigm that extends Logic Programming (LP) wit...
Tesi en cotutel·la: Universitat Politècnica de Catalunya i Università degli Studi di PaviaThis disse...
Tesi en cotutel·la: Universitat Politècnica de Catalunya i Università degli Studi di PaviaThis disse...
Constraint Logic Programming (CLP) is a declarative paradigm that extends Logic Programming (LP) wit...
The present thesis explores the viability of the proper generalised decomposition (PGD) as a tool fo...
This thesis addresses the development of techniques to build fully-automatic tools for analyzing seq...
Mathematical programming is a technique that can be used to solve real-world optimization problems, ...
Mathematical programming is a technique that can be used to solve real-world optimization problems, ...