Results 271 to 280 of about 20,157 (304)

Linear, Integer, and Mixed Integer Programming

2021
William P. Fox, Robert E. Burks
openaire   +1 more source

Linear Programming Tools for Integer Programming

1989
Abstract : The motivation for this work has been the need for a practical procedure to solve the maximum-weight cut problem (MCP) in undirected graphs. Our primary focus has been on problems arising from considerations in statistical mechanics. These problems are typically posed on grid graphs and some natural variants.
openaire   +1 more source

From Mixed-Integer Linear to Mixed-Integer Bilevel Linear Programming

2017
Bilevel Optimization is a very challenging framework where two players (with different objectives) compete for the definition of the final solution. In this paper we address a generic mixed-integer bilevel linear program, i.e., a bilevel optimization problem where the objective functions and constraints are all linear, and some variables are required ...
openaire   +2 more sources

Logically synthesized and hardware-accelerated restricted Boltzmann machines for combinatorial optimization and integer factorization

Nature Electronics, 2022
Saavan Patel, Sayeef Salahuddin
exaly  

Exact linear and integer programming

Proceedings of the 38th International Symposium on Symbolic and Algebraic Computation, 2013
This tutorial surveys state-of-the-art algorithms and computational methods for computing exact solutions to linear and mixed-integer programming problems.
openaire   +1 more source

Symmetry in Integer Linear Programming

2009
An integer linear program (ILP) is symmetric if its variables can be permuted without changing the structure of the problem. Areas where symmetric ILPs arise range from applied settings (scheduling on identical machines), to combinatorics (code construction), and to statistics (statistical designs construction).
openaire   +1 more source

Mixed Integer Linear Programming for Mixed Integer Quadratic Programming

2003
Abstract. In this paper we consider the mixed integer general quadratic problem (MIGQP) that consists in maximizing a quadratic function subject to quadratic constraints, with three types of variables: binary, integer and real. Given a precision , we show how to associate two mixed integer linear programs and with MIGQP.
openaire   +1 more source

Ground State and Hidden Symmetry of Magic-Angle Graphene at Even Integer Filling

Physical Review X, 2020
Nick Bultinck, Eslam Khalaf, Shang Liu
exaly  

Mixed-Integer Linear Programming

2021
openaire   +1 more source

The electronic properties of graphene

Reviews of Modern Physics, 2009
Ah Castro Neto, Francisco Guinea, Andre Geim   +2 more
exaly