In \cite{BockmayrWeispfenning01}, we give an overview of solving numerical constraints in the context of automated reasoning. Emphasis is on logical aspects of numerical constraints. We view them as atomic formulae in first-order predicate logic that are interpreted over some numerical domain like the real, rational, or integer numbers. We present various inference systems for reasoning with numerical constraints, describe the algebraic and geometric structure of their solution set, and present fundamental algorithms for deciding satisfiability, computing one or all solutions, and deducing new constraints
Linear numerical constraints and their first-order theory, whether defined over the reals or the. in...
Learning programs with numerical values is fundamental to many AI applications, including bio-inform...
Colloque avec actes et comité de lecture.In this short paper, a unified framework for solving Boolea...
In \cite{BockmayrWeispfenning01}, we give an overview of solving numerical constraints in the contex...
. Constraints are an effective tool to define sets of data by means of logical formulae. Our goal he...
. Despite the rapid emergence and success of Inductive Logic Programming, problems still surround nu...
AbstractUsing problem-specific background knowledge, computer programs developed within the framewor...
Abstract. In this paper we present a framework for the cooperation of symbolic and propagation-based...
The inner logic structure of Exact Rational Operative Representation in arbitrary Fixed-Radix Number...
Traditional design of numerical software with result verification is based on the assumption that we...
Formal mathematical reasoning is unique in its precision: any valid conclusion can be justified by a...
The paper presents a framework to describe, experiment and study the combination of different comput...
We briefly survey recent computational complexity results for certain algebraic problems that are re...
Computational science is fundamentally changing how technological questions are addressed. The desig...
In the constraint satisfaction problem (CSP) formulation used in artificial intelligence, the variab...
Linear numerical constraints and their first-order theory, whether defined over the reals or the. in...
Learning programs with numerical values is fundamental to many AI applications, including bio-inform...
Colloque avec actes et comité de lecture.In this short paper, a unified framework for solving Boolea...
In \cite{BockmayrWeispfenning01}, we give an overview of solving numerical constraints in the contex...
. Constraints are an effective tool to define sets of data by means of logical formulae. Our goal he...
. Despite the rapid emergence and success of Inductive Logic Programming, problems still surround nu...
AbstractUsing problem-specific background knowledge, computer programs developed within the framewor...
Abstract. In this paper we present a framework for the cooperation of symbolic and propagation-based...
The inner logic structure of Exact Rational Operative Representation in arbitrary Fixed-Radix Number...
Traditional design of numerical software with result verification is based on the assumption that we...
Formal mathematical reasoning is unique in its precision: any valid conclusion can be justified by a...
The paper presents a framework to describe, experiment and study the combination of different comput...
We briefly survey recent computational complexity results for certain algebraic problems that are re...
Computational science is fundamentally changing how technological questions are addressed. The desig...
In the constraint satisfaction problem (CSP) formulation used in artificial intelligence, the variab...
Linear numerical constraints and their first-order theory, whether defined over the reals or the. in...
Learning programs with numerical values is fundamental to many AI applications, including bio-inform...
Colloque avec actes et comité de lecture.In this short paper, a unified framework for solving Boolea...