Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

We give a branch-and-cut algorithm for solving linear programs (LPs) with continuous separable piecewise-linear cost functions (PLFs). Models for PLFs use continuous variables in special-ordered sets ...

We show that the adaptive distributionally robust linear optimization problem can be formulated as a classical robust optimization problem. To obtain a tractable formulation, we approximate the ...

Algorithms, Network and Optimization (ANO) Subplan Course Options CSCI 5114 - Practical Algorithmic Complexity CSCI 5254 - Convex Optimization CSCI 5352 - Network Analysis and Modeling CSCI 5434 - ...

Quantum computers of the future hold promise for solving complex problems more quickly than ordinary computers. For example, they can factor large numbers exponentially faster than classical ...

In an era where autonomous systems demand pinpoint accuracy, navigation algorithms face a tough trade-off between precision ...

MicroAlgo Inc. announced the QIRO algorithm for quantum-combinatorial optimization, enhancing efficiency in complex problem solving.

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and ...

ExxonMobil and IBM's researchers have been working together to find quantum algorithms that could manage the global fleet of merchant ships.

Additionally, the algorithm can be applied in areas such as quantum simulation and quantum optimization, offering new technological tools and solutions for research and development in these domains.