Results 21 to 30 of about 36,225 (338)
Divide-and-Conquer With Sequential Monte Carlo [PDF]
We propose a novel class of Sequential Monte Carlo (SMC) algorithms, appropriate for inference in probabilistic graphical models. This class of algorithms adopts a divide-and-conquer approach based upon an auxiliary tree-structured decomposition of the ...
Aston, JAD +6 more
core +1 more source
A priori filtration of points for finding convex hull
Convex hull is the minimum area convex polygon containing the planar set. By now there are quite many convex hull algorithms (Graham Scan, Jarvis March, QuickHull, Incremental, Divide‐and‐Conquer, Marriage‐before‐Conquest, Monotone Chain, Brute Force ...
Laura Vyšniauskaitė +1 more
doaj +1 more source
Enhanced Teaching–Learning-Based Optimization Algorithm for the Mobile Robot Path Planning Problem
This research proposes an enhanced teaching–learning based optimization (ETLBO) algorithm to realize an efficient path planning for a mobile robot. Four strategies are introduced to accelerate the teaching–learning based optimization (TLBO) algorithm and
Shichang Lu +3 more
doaj +1 more source
Divide-and-conquer sequential matrix diagonalisation for parahermitian matrices [PDF]
A number of algorithms capable of iteratively calculating a polynomial matrix eigenvalue decomposition (PEVD) have been introduced. The PEVD is a generalisation of the ordinary EVD and will diagonalise a parahermitian matrix via paraunitary operations ...
Corr, Jamie +4 more
core +1 more source
Additive tree functionals with small toll functions and subtrees of random trees [PDF]
Many parameters of trees are additive in the sense that they can be computed recursively from the sum of the branches plus a certain toll function. For instance, such parameters occur very frequently in the analysis of divide-and-conquer algorithms. Here
Stephan Wagner
doaj +1 more source
Reducing the Depth of Linear Reversible Quantum Circuits
In quantum computing the decoherence time of the qubits determines the computation time available, and this time is very limited when using current hardware.
Timothee Goubault de Brugiere +4 more
doaj +1 more source
Centralized approaches for virtual network function placement in SDN-enabled networks
Software-defined networking (SDN) and network function virtualization (NFV) represent significant changes to the architecture of data networks. SDN provides clean separation of the control plane from the data plane while NFV helps virtualize functions ...
Akshay Gadre +2 more
doaj +1 more source
Nature-inspired metaheuristic algorithms remain a strong trend in optimization. Human-inspired optimization algorithms should be more intuitive and relatable. This paper proposes a novel optimization algorithm inspired by a human search party.
A. S. Syed Shahul Hameed +1 more
doaj +1 more source
Space-efficient geometric divide-and-conquer algorithms
German Academic Exchange Service (DAAD)
Bose, Prosenjit +5 more
openaire +4 more sources
Scalability and Validation of Big Data Bioinformatics Software
This review examines two important aspects that are central to modern big data bioinformatics analysis – software scalability and validity. We argue that not only are the issues of scalability and validation common to all big data bioinformatics analyses,
Andrian Yang +2 more
doaj +1 more source

