that SCIP is almost competitive to current state-of-the-art commercial MIP solvers. Second, we employ the CIP framework to solve chip design verification problems, which involve some highly non-linear constraint types that are very hard to handle by pure MIP solvers. The CIP approach is very effective here

. Computational experiments show that SCIP is almost com-petitive to current state-of-the-art commercial MIP solvers. Second, we demonstrate how to use CIP techniques to compute the number of opti-mal solutions of integer programs. Third, we employ the CIP framework to solve chip design verification problems

One of the most important features of current state-of-the-art SAT solvers is the use of conflict based backtracking and learning techniques. In this paper, we generalize various conflict driven learning strategies in terms of different partitioning schemes of the implication graph. We re

Abstract In the AIPS98 Planning Contest, the HSP planner showed that heuristic search planners can be competitive with state-of-the-art Graphplan and SAT planners. Heuristic search planners like HSP transform planning problems into problems of heuristic search by automatically extracting

at the heart of many structured grid codes, including PDE solvers. We develop a number of effective optimization strategies, and build an auto-tuning environment that searches over our optimizations and their parameters to minimize runtime, while maximizing performance portability. To evaluate

An update on cardiovascular adrenergic receptor physiology and potential pharmacological applications in veterinary critical care Kathryn M. Long, DVM and Rebecca Kirby, DVM, DACVIM, DACVECC Objective: To review the recent human and veterinary literature on current adrenergic receptor physiology

(DPLL) about forty years ago, this area has seen active research effort with many interesting contributions that have culminated in state-of-the-art SAT solvers today being able to handle problem instances with thousands, and in same cases even millions, of variables. In this paper we examine some

to traditional maxsat solvers, we also evaluate the use of a state-of-the-art Mixed Integer Program (mip) solver, cplex, for solving maxsat. mip solvers are the most popular technology for solving opti-mization problems and are also theoretically more powerful than sat solvers. In fact, we show that cplex

Abstract. We present Minion, a new constraint solver. Empirical results on standard benchmarks show orders of magnitude performance gains over state-of-the-art constraint toolkits. These gains increase with problem size – Minion delivers scalable constraint solving. Minion is a general

We survey the current state-of-the-art in (commercial) Product Data Management (PDM) systems. After identifying the major functions of PDM systems, we indicate various shortcomings of the current PDM technology. An important shortcoming is in the representation and use of functions. We review