Results 11 to 20 of about 5,361,319 (303)
Local and global lifted cover inequalities for the multidimensional knapsack problem [PDF]
, 2008 The 0-1 Multidimensional Knapsack Problem (0-1 MKP) is a well-known (and strongly NP-hard) combinatorial optimization problem with many applications. Up to now, the majority of upper bounding techniques for the 0-1 MKP have been based on Lagrangian or ...
Kaparis, Konstantinos, Letchford, A N
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Hybrid Learning Moth Search Algorithm for Solving Multidimensional Knapsack Problems
Mathematics, 2023 The moth search algorithm (MS) is a relatively new metaheuristic optimization algorithm which mimics the phototaxis and Lévy flights of moths. Being an NP-hard problem, the 0–1 multidimensional knapsack problem (MKP) is a classical multi-constraint ...
Yanhong Feng +4 more
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A framework for the visualization of multidimensional and multivariate data [PDF]
, 2004 High dimensionality is a major challenge for data visualization. Parameter optimization problems require an understanding of the behaviour of an objective function in an n-dimensional space around the optimum - this is multidimensional visualization and ...
Dos Santos, Selan Rodrigues
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An Efficient Kriging Modeling Method Based on Multidimensional Scaling for High-Dimensional Problems
Algorithms, 2021 Kriging-based modeling has been widely used in computationally intensive simulations. However, the Kriging modeling of high-dimensional problems not only takes more time, but also leads to the failure of model construction.
Yu Ge +3 more
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Some Method for Constructing Cycles in a Graph
Современные информационные технологии и IT-образование, 2022 Multidimensional matrices are a powerful tool for solving various fundamental scientific problems and applied scientific and technical problems. As examples of the use of multidimensional matrices in various fields, one can cite the work of the creator ...
Victor Munerman, Daniel Munerman
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Approximate Solutions of Multidimensional Wave Problems Using an Effective Approach
Journal of Function Spaces, 2023 The main goal of this paper is to introduce a new scheme for the approximate solution of 1D, 2D, and 3D wave equations. The recurrence relation is very important to deal with the approximate solution of differential problems.
Muhammad Nadeem +2 more
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Fractal and Fractional, 2022 In this paper, we establish two approximation theorems for the multidimensional fractional Fourier transform via appropriate convolutions. As applications, we study the boundary and initial problems of the Laplace and heat equations with chirp functions.
Yinuo Yang +3 more
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On the Truncated Multidimensional Moment Problems in
Axioms, 2022 We consider the problem of finding a (non-negative) measure μ on B(Cn) such that ∫Cnzkdμ(z)=sk, ∀k∈K. Here, K is an arbitrary finite subset of Z+n, which contains (0,…,0), and sk are prescribed complex numbers (we use the usual notations for multi ...
Sergey Zagorodnyuk
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Using shifted Legendre orthonormal polynomials for solving fractional optimal control problems [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2022 shifted Legendre orthonormal polynomials (SLOPs) are used to approximate the numerical solutions of fractional optimal control problems. To do so, first, the operational matrix of the Caputo fractional derivative, the SLOPs, and Lagrange ...
R. Naseri, A. Heydari, A.S. Bagherzadeh
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APPLICATION OF DARBOUX TRANSFORMATION TO MULTIDIMENSIONAL INHOMOGENEOUS PROBLEMS
TASK Quarterly, 2016 General properties of ladder operators applied to inhomogeneous problems are studied in the context of their usefulness for solving practical problems with stress put on the possibility of embedding the interwine relation onto a wider class of operators.
GRZEGORZ KWIATKOWSKI
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