Results 21 to 30 of about 5,958,127 (312)
HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION
Barekeng, 2023 The number of claims plays an important role the profit achievement of health insurance companies. Prediction of the number of claims could give the significant implications in the profit margins generated by the health insurance company.
Syaiful Anam +5 more
doaj +1 more source
A new iteration method for solving space fractional coupled nonlinear Schrödinger equations [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2022 A linearly implicit difference scheme for the space fractional coupled nonlinear Schrödinger equation is proposed. The resulting coefficient matrix of the discretized linear system consists of the sum of a complex scaled identity and a symmetric positive ...
H. Aslani +2 more
doaj +1 more source
Selected Mathematical Optimization Methods for Solving Problems of Engineering Practice
Energies, 2022 Engineering optimization is the subject of interest for many scientific research teams on a global scale; it is a part of today’s mathematical modelling and control of processes and systems.
A. Vagaská, M. Gombár, Ľ. Straka
semanticscholar +1 more source
Optimal Sparse Control Formulation for Reconstruction of Noise-Affected Images
Axioms, 2023 We discuss the optimal control formulation for enhancement and denoising of satellite multiband images and propose to take it in the form of an L1 control problem for a quasi-linear parabolic equation with a nonlocal p[u] Laplacian and with a cost ...
Peter Kogut, Yaroslav Kohut
doaj +1 more source
Journal of Environmental Engineering and Landscape Management, 2022 This paper describes how the multilayer perceptron neural network (MLPNN) trained by the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-newton back-propagation approach was used to estimate heavy metal concentrations: Aluminum (Al), Lead (Pb), Copper (Cu)
Rachid El Chaal +1 more
doaj +1 more source
Parametric Estimation of Diffusion Processes: A Review and Comparative Study
Mathematics, 2021 This paper provides an in-depth review about parametric estimation methods for stationary stochastic differential equations (SDEs) driven by Wiener noise with discrete time observations.
Alejandra López-Pérez +2 more
doaj +1 more source
JuMP: A Modeling Language for Mathematical Optimization [PDF]
SIAM Review, 2015 JuMP is an open-source modeling language that allows users to express a wide range of optimization problems (linear, mixed-integer, quadratic, conic-quadratic, semidefinite, and nonlinear) in a high-level, algebraic syntax.
Iain Dunning, Joey Huchette, Miles Lubin
semanticscholar +1 more source
A Bio-Inspired Method for Mathematical Optimization Inspired by Arachnida Salticidade
Mathematics, 2021 This paper proposes a new meta-heuristic called Jumping Spider Optimization Algorithm (JSOA), inspired by Arachnida Salticidae hunting habits. The proposed algorithm mimics the behavior of spiders in nature and mathematically models its hunting ...
H. Peraza-Vázquez +5 more
semanticscholar +1 more source
Dynamic Shortest Paths Methods for the Time-Dependent TSP
Algorithms, 2021 The time-dependent traveling salesman problem (TDTSP) asks for a shortest Hamiltonian tour in a directed graph where (asymmetric) arc-costs depend on the time the arc is entered.
Christoph Hansknecht +2 more
doaj +1 more source
Discrete Dynamics in Nature and Society, 2020 In this paper, we consider a hybrid network model of delayed predator-prey Gompertz systems with impulsive diffusion between two patches, in which the patches represent nodes of the network such that the prey population interacts locally in each patch ...
Li Xiang +4 more
doaj +1 more source