Learn what approximation algorithms are, how they work, and what are some examples and challenges in computer engineering. Agree & Join LinkedIn ...

An approximation algorithm is a type of algorithm that can find a solution to an intractable problem that is not necessarily optimal, but has a guaranteed quality.

It covers a wide range of approximation algorithm concepts, including NP-hard problems, trade-off between solution quality and running time, and probabilistic algorithms. Each algorithm is presented ...

Implements a traveling salesperson problem (TSP) approximation algorithm in order to optimize routes for package deliveries. Written in Python. Supports multiple delivery vehicles, real time changes ...

Approximation and Online Algorithms. (2021). An Improved Approximation Bound for Minimum Weight Dominating Set on Graphs of Bounded Arboricity. Retrieved from http ...

Polynomial-Time Approximation Scheme (PTAS): An algorithm that for any given fixed ε > 0 finds a solution that is within a factor of (1 + ε) of the optimum in time polynomial in the input size.

The polynomial-time approximation algorithm presented is based on mixed and linear programming formulation. This approximate solution has a constant approximation ratio; more precisely the throughput ...

Noncommutative constraint satisfaction problems (CSPs) are higher-dimensional operator extensions of classical CSPs. Their approximability remains largely unexplored. A notable example of a ...

Approximation algorithms for the TSP endeavour to provide efficient, near‐optimal solutions where exact methods prove computationally prohibitive. Seminal approaches, ...