A Dual| Ascent Algorithm for the Multi|dimensional Assignment ...

A Dual- Ascent Algorithm for the Multi-dimensional Assignment ...

We present a Dual-Ascent algorithm that provides monotonically increasing lower bounds and converges in a fraction of iterations required for a subgradient ...

A GPU Accelerated Dual-Ascent Algorithm for the Multidimensional ...

We develop a Graphics Processing Unit (GPU) accelerated algorithm for the NP-Hard Multi-dimensional Assignment Problem (MAP), suitable for ...

A dual- ascent algorithm for the multi-dimensional assignment problem

Subsequently, we provided Graphics Processing Unit (GPU) accelerated algorithms for the underlying Multidimensional Assignment Problem (MAP) ...

A GPU Accelerated Dual-Ascent Algorithm for the Multidimensional ...

Abstract. We develop a Graphics Processing Unit (GPU) accelerated algorithm for the NP-Hard Multi-dimensional Assignment Problem (MAP), suitable ...

A Dual- Ascent Algorithm for the Multi-dimensional Assignment ...

1 illustrates a T-dimensional assignment problem. The formulation assumes that there are no missed detections and false alarms, this assumption can be easily ...

A Dual- Ascent Algorithm for the Multi-dimensional Assignment ...

A Dual- Ascent Algorithm for the Multi-dimensional Assignment Problem: Application to Multi-Target Tracking-conference_proceeding.

A GPU Accelerated Dual-Ascent Algorithm for the Multidimensional ...

PDF | We develop a Graphics Processing Unit (GPU) accelerated algorithm for the NP-Hard Multi-dimensional Assignment Problem (MAP), suitable for target.

A dual ascent algorithm for traffic assignment problems - ScienceDirect

A dual decomposition algorithm is developed for large-scale traffic assignment problems. In contrast to standard methods, this algorithm does not require that ...

A dual ascent algorithm for traffic assignment problems - ScienceDirect

A dual decomposition algorithm is developed for large-scale traffic assignment problems. In contrast to standard methods, this algorithm does not require ...

A GPU Accelerated Dual-Ascent Algorithm for the Multidimensional ...

A GPU Accelerated Dual-Ascent Algorithm for the Multidimensional Assignment Problem in a Multitarget Tracking Application ...

A dual approach to multi-dimensional assignment problems

The convex dual representation is derived and its relationship to the Lagrangian relaxation method that is usually used to solve ...

A dual approach to multi-dimensional assignment problems

The simulation results show that the proposed algorithm outperforms the traditional Lagrangian relaxation approach in terms of both accuracy and computational ...

Large-scale Multi-dimensional Assignment: Problem Formulations ...

A Dual-Ascent algorithm that provides monotonically increasing lower bounds and converges in a fraction of iterations required for a subgradient scheme and ...

Algorithms for multidimensional assignment problems - ProQuest

This approach finds a feasible solution by satisfying one set of constraints at a time through the use of a two-dimensional assignment problem (2AP) solver. A ...

Level 2 Reformulation Linearization Technique–Based Parallel ...

A Dual- Ascent Algorithm for the Multi-dimensional Assignment Problem: Application to Multi-Target Tracking. Recommended. A Graphics ...

THE MULTIDIMENSIONAL ASSIGNMENT PROBLEM

An algorithm is proposed for the solution of the multi-index assign- ment problem. The algorithm is based on a tree search technique of the branch-and-bound ...

Technical Note—An Improved Dual Based Algorithm for the ...

The generalized assignment problem (GAP) determines the minimum cost assignment of n jobs to m agents such that each job is assigned to exactly one agent, ...

GPU-accelerated Hungarian algorithms for the Linear Assignment ...

A Dual- Ascent Algorithm for the Multi-dimensional Assignment Problem: Application to Multi-Target Tracking · Computer Science, Engineering. 2020 IEEE 23rd ...

Multidimensional assignment problem - Wikipedia

The multidimensional assignment problem (MAP) is a fundamental combinatorial optimization problem which was introduced by William Pierskalla.

A Lagrangian Dual-Based Branch-And-Bound Algorithm for the ...

This paper develops a Lagrangian dual-based branch-and-bound algorithm for the generalized multi-assignment problem (GMAP) which includes the well-known ...