Add to ORKGthis paper we report our effort in combining constraint logic programming with two algebraic methods for solving non-linear constraints: Partial Cylindrical Algebraic Decomposition and Grobner basis. We have implemented a prototype called RISC-CLP(Real). Experience with the prototype suggests that it is desirable and in fact feasible to provide a full support of non-linear constraints. All programs are written in a portable subset of C language on top of the computer algebra C library SACLIB. 1.1 Introductio
This paper describes the design, implementation, and applications of the constraint logic language c...
Constraint logic programming (CLP) has become a promising new technology for solving complex combina...
AbstractThis paper describes the design, implementation, and applications of the constraint logic la...
Solving nonlinear constraints over real numbers is a complex problem. Hence constraint logic program...
Solving nonlinear constraints over real numbers is a complex problem. Hence constraint logic program...
Solving nonlinear constraints over real numbers is a complex problem. Hence constraint logic program...
Solving nonlinear constraints over real numbers is a complex problem. Hence constraint logic progra...
Solving nonlinear constraints over real numbers is a complex problem. Hence constraint logic program...
Many practical problems involve constraints in 0-1 variables. We apply the constraint logic programm...
There has been a lot of interest lately from people solving constrained optimization problems for co...
Many practical problems involve constraints in 0-1 variables. We apply the constraint logic programm...
Abstract. Nonlinear constraints over the real numbers appear in many application domains, like chemi...
Nonlinear constraints over the real numbers appear in many application domains, like chemistry, econ...
Many practical problems involve constraints in 0-1 variables. We apply the con-straint logic program...
AbstractConstraint Logic Programming (CLP) is a merger of two declarative paradigms: constraint solv...
This paper describes the design, implementation, and applications of the constraint logic language c...
Constraint logic programming (CLP) has become a promising new technology for solving complex combina...
AbstractThis paper describes the design, implementation, and applications of the constraint logic la...
Solving nonlinear constraints over real numbers is a complex problem. Hence constraint logic program...
Solving nonlinear constraints over real numbers is a complex problem. Hence constraint logic program...
Solving nonlinear constraints over real numbers is a complex problem. Hence constraint logic program...
Solving nonlinear constraints over real numbers is a complex problem. Hence constraint logic progra...
Solving nonlinear constraints over real numbers is a complex problem. Hence constraint logic program...
Many practical problems involve constraints in 0-1 variables. We apply the constraint logic programm...
There has been a lot of interest lately from people solving constrained optimization problems for co...
Many practical problems involve constraints in 0-1 variables. We apply the constraint logic programm...
Abstract. Nonlinear constraints over the real numbers appear in many application domains, like chemi...
Nonlinear constraints over the real numbers appear in many application domains, like chemistry, econ...
Many practical problems involve constraints in 0-1 variables. We apply the con-straint logic program...
AbstractConstraint Logic Programming (CLP) is a merger of two declarative paradigms: constraint solv...
This paper describes the design, implementation, and applications of the constraint logic language c...
Constraint logic programming (CLP) has become a promising new technology for solving complex combina...
AbstractThis paper describes the design, implementation, and applications of the constraint logic la...