Results 21 to 30 of about 2,964,605 (375)
Regularized Normalization Methods for Solving Linear and Nonlinear Eigenvalue Problems
Mathematics, 2023 To solve linear and nonlinear eigenvalue problems, we develop a simple method by directly solving a nonhomogeneous system obtained by supplementing a normalization condition on the eigen-equation for the uniqueness of the eigenvector.
Chein-Shan Liu +2 more
doaj +1 more source
High-order Path Integral Monte Carlo methods for solving quantum dot problems [PDF]
, 2015 The conventional second-order Path Integral Monte Carlo method is plagued with the sign problem in solving many-fermion systems. This is due to the large number of anti-symmetric free fermion propagators that are needed to extract the ground state wave ...
Chin, Siu A.
core +3 more sources
Embedded Exponentially-Fitted Explicit Runge-Kutta-Nyström Methods for Solving Periodic Problems
Computation, 2020 In this work, a pair of embedded explicit exponentially-fitted Runge–Kutta–Nyström methods is formulated for solving special second-order ordinary differential equations (ODEs) with periodic solutions.
Musa Ahmed Demba +3 more
doaj +1 more source
Application of Methods for Solving Multi-Criteria Problems when Choosing Precision Seeders [PDF]
E3S Web of Conferences, 2023 This article presents the process of choosing a precise seeding drill model using the methods of hierarchy analysis and generalized estimation. The results of the analysis represent preferred alternatives and recommendations for decision-making.
Zubrilina E. M., Babenko O. S.
doaj +1 more source
Graph-to-Tree Learning for Solving Math Word Problems
Annual Meeting of the Association for Computational Linguistics, 2020 While the recent tree-based neural models have demonstrated promising results in generating solution expression for the math word problem (MWP), most of these models do not capture the relationships and order information among the quantities well.
Jipeng Zhang +6 more
semanticscholar +1 more source
Efficient Gaussian Sampling for Solving Large-Scale Inverse Problems using MCMC Methods [PDF]
, 2014 The resolution of many large-scale inverse problems using MCMC methods requires a step of drawing samples from a high dimensional Gaussian distribution.
Gilavert, Clément +2 more
core +4 more sources
Axioms, 2020 We propose two new iterative algorithms for solving K-pseudomonotone variational inequality problems in the framework of real Hilbert spaces. These newly proposed methods are obtained by combining the viscosity approximation algorithm, the Picard Mann ...
Godwin Amechi Okeke +2 more
doaj +1 more source
Rosenbrock Type Methods for Solving Non-Linear Second-Order in Time Problems
Mathematics, 2021 In this work, we develop a new class of methods which have been created in order to numerically solve non-linear second-order in time problems in an efficient way.
Maria Jesus Moreta
doaj +1 more source
Methods for Solving Extremal Problems in Practice [PDF]
, 2016 During the 20 th century there has been an incredible progress in solving theoretically hard problems in practice. One of the most prominent examples is the DPLL algorithm and its derivatives to solve the Boolean satisfiability problem, which can handle ...
Frank, Michael
core +1 more source
B-spline method for solving Bratu's problem
International Journal of Computer Mathematics, 2010 In this paper, we propose a B-spline method for solving the one-dimensional Bratu's problem. The numerical approximations to the exact solution are computed and then compared with other existing methods. The effectiveness and accuracy of the B-spline method is verified for different values of the parameter, below its critical value, where two solutions
Valaristos, Antonios +4 more
openaire +2 more sources