Big Integers are a user defined type (BigInt) based on Turbo Pascal Strings. The maximum length of a BigInt is set by altering the MAXLEN constant in the library (BigiLib.pas). This must not exceed ...

Inspired by the decomposition in the hybrid quantum-classical optimization algorithm we introduced in arXiv:1902.04215, we propose here a new (fully classical) approach to solving certain non-convex ...

Please refer to the paper: Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs, International Conference on Learning Representations ...

We present a technique to infer lower bounds on the worst-case runtime complexity of integer programs. To this end, we construct symbolic representations of program executions using a framework for ...

We present a modular approach to automatic complexity analysis of integer programs. Based on a novel alternation between finding symbolic time bounds for program parts and using these to infer bounds ...

Linear programming is used to maximize or minimize a linear objective function subject to one or more constraints, while mixed integer programming (MIP) adds one additional condition: that at least ...

Write down the Linear Program (LP) relaxation of an IP Plot the graphical representation of an IP and find the optimal solution Understand the relationship between optimal solution of an IP and the ...

Abstract: In this presentation, we discuss a symbolic tool, implemented in Mathematica that converts a hybrid automaton model of a power system into either a mixed logical dynamic system (MLD) or a ...

Abstract: In this presentation, we discuss a symbolic tool, implemented in Mathematica/sup /spl copy//, that converts a hybrid automaton model of a power system into either a mixed logical dynamic ...