Results 271 to 280 of about 6,493,766 (329)

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
Recent vision and learning studies show that learning compact hash codes can facilitate massive data processing with significantly reduced storage and computation. Particularly, learning deep hash functions has greatly improved the retrieval performance,
Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen   +5 more
semanticscholar   +1 more source

Discrete Multivariate Optimal Control

Journal of Optimization Theory and Applications, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreea Bejenaru, Monica Pîrvan
openaire   +2 more sources

Optimal Assumptions for Discreteness

Archive for Rational Mechanics and Analysis, 2012
The authors disprove a natural conjecture concerning the topological properties of Sobolev maps in Euclidean spaces. Consider a map \(f:\Omega\to\mathbb R^n\) of Sobolev class \(W^{1,n}\), where \(\Omega\) is a domain in \(\mathbb R^n\). If there exists a finite function \(K\) such that \(\|Df(x)\|^n\leq K(x)\det Df(x)\) for a.e.
Hencl, Stanislav, Rajala, Kai
openaire   +2 more sources

Distributionally Robust Linear and Discrete Optimization with Marginals

Operational Research, 2018
In optimization problems, decisions are often made in the face of uncertainty that might arise in the form of random costs or benefits. In “Distributionally Robust Linear and Discrete Optimization with Marginals,” Louis Chen, Will Ma, Karthik Natarajan ...
Louis L. Chen, Will Ma, K. Natarajan, D. Simchi-Levi, Zhenzhen Yan   +4 more
semanticscholar   +1 more source

Reduction in Discrete Optimization Problem

International Conference on Computer Science and Information Technologies, 2018
Discrete optimization problems are used for description of models in project management. The need for solution of such problems stimulated the search for effective techniques of calculations. Currently, many combinatorial methods for solution of discrete
S. Chernov, Lubava S. Chernova, S. Titov
semanticscholar   +1 more source

A new Newton metaheuristic algorithm for discrete performance-based design optimization of steel moment frames

, 2020
In this paper a new and efficient metaheuristic algorithm is proposed for discrete performance-based seismic design optimization of steel moment frames.
S. Gholizadeh, M. Danesh, C. Gheyratmand
semanticscholar   +1 more source

A discrete-continuous parameterization (DCP) for concurrent optimization of structural topologies and continuous material orientations

, 2020
Combining topology optimization and continuous orientation design of fiber-reinforced composites is a promising way to pursue lighter and stronger structures.
Yunfeng Luo, Wenjiong Chen, Shutian Liu, Quhao Li, Yaohui Ma   +4 more
semanticscholar   +1 more source

Discrete structural optimization

Computer Methods in Applied Mechanics and Engineering, 1985
The paper deals with minimum weight design of elastic structures under constraints imposed upon stresses, displacements and maximum and minimum cross-section dimensions. The structures may be designed from rolled profiles and sheets. The proposed method is based on the simultaneous solution of nonlinear equations and inequalities resulting from the ...
Gutkowski, Witold, Bauer, Jacek, Iwanow, Zdzisław   +2 more
openaire   +1 more source

Discrete sizing/layout/topology optimization of truss structures with an advanced Jaya algorithm

Applied Soft Computing, 2019
Discrete optimization of truss structures is a hard computing problem with many local minima. Metaheuristic algorithms are naturally suited for discrete optimization problems as they do not require gradient information. A recently developed method called
S. O. Degertekin, L. Lamberti, I. Ugur
semanticscholar   +1 more source

Discrete simulation-based optimization methods for industrial engineering problems: A systematic literature review

Computers & industrial engineering, 2019
In recent years, some attention has been driven to modeling, simulation, and optimization techniques capable of representing and improving discrete event systems.
Wilson Trigueiro de Sousa Junior, J. A. B. Montevechi, R. C. Miranda, Afonso Teberga Campos   +3 more
semanticscholar   +1 more source