Search Results - Boundary value problems Data processing

Numerical Analysis Using R: Solutions to ODEs and PDEs by Griffiths, Graham W.

“…This book presents the latest numerical solutions to initial value problems and boundary value problems described by ODEs and PDEs…”
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Method for computational domain decomposition without intersection of subdomains for boundary-value problems by Sveshnikov, V. M.

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Algorithmically precise method of parametric optimization in boundary-value optimal control problems for distributed-parameter systems by Rapoport, E. Ya, Pleshivtseva, Yu. E.

“…A precise method based on a special procedure of successive parametrization of control actions is proposed to solve boundary-value optimal control problems for distributed-parameter systems…”
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Design of stochastic numerical solver for the solution of singular three-point second-order boundary value problems by Sabir, Zulqurnain, Baleanu, Dumitru, Shoaib, Muhammad, Raja, Muhammad Asif Zahoor

“…In this paper, a novel meta-heuristic computing solver is presented for solving the singular three-point second-order boundary value problems using artificial neural networks (ANNs…”
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Neural network approach for solving nonlocal boundary value problems by Palade, V., Petrov, M. S., Todorov, T. D.

“… The nonlocal term involved in the differential equation needs a completely different approach from the up-to-now-known methods for solving boundary value problems by using neural networks…”
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Solving the fixed gravimetric boundary value problem by the finite element method using mapped infinite elements by Macák, Marek, Minarechová, Zuzana, Tomek, Lukáš, Čunderlík, Róbert, Mikula, Karol

“…The numerical approach for solving the fixed gravimetric boundary value problem (FGBVP) based on the finite element method…”
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Intelligent computing to solve fifth-order boundary value problem arising in induction motor models by Ahmad, Iftikhar, Ahmad, Fayyaz, Raja, Muhammad Asif Zahoor, Ilyas, Hira, Anwar, Nabeela, Azad, Zarqa

“…), interior point technique (IPT) and active set technique (AST) is designed to solve the higher order nonlinear boundary value problems arise in studies of induction motor…”
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A neural network training algorithm for singular perturbation boundary value problems by Simos, T. E., Famelis, Ioannis Th

“…A training algorithm for the Neural Network solution of Singular Perturbation Boundary Value Problems is presented…”
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On constructing boundaries for boundary value problems: the general case by Mukherjee, Mousumi, Pal, Debasattam

“…) with real constant coefficients. In the literature, one of the ways of specifying initial/boundary data is by specifying the values of certain derivatives of the solution trajectories at the origin…”
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On a Local and Nonlocal Second-Order Boundary Value Problem with In-Homogeneous Cauchy–Neumann Boundary Conditions—Applications in Engineering and Industry by Barbu, Tudor, Miranville, Alain, Moroşanu, Costică

“…A qualitative study for a second-order boundary value problem with local or nonlocal diffusion and a cubic nonlinear reaction term, endowed with in-homogeneous Cauchy–Neumann (Robin…”
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A versatile algorithm for the treatment of open boundary conditions in Smoothed particle hydrodynamics GPU models by Tafuni, A., Domínguez, J.M., Vacondio, R., Crespo, A.J.C.

“…An open boundary algorithm for weakly compressible Smoothed particle hydrodynamics (WCSPH…”
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Hybrid boundary full-wave-equation depth migration based on dual-sensor acquisition system and its application by Li, Anyu, Liu, Xuewei, Zhao, Qingwei, You, Jiachun, Zhu, Xiangyu

“… Theoretically, using the two-layer wavefield data obtained by the acquisition system, the two-way wavefield extrapolation can be realized in the depth domain without approximate processing…”
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A new extrapolation cascadic multigrid method for three dimensional elliptic boundary value problems by Pan, Kejia, He, Dongdong, Hu, Hongling, Ren, Zhengyong

“…In this paper, we develop a new extrapolation cascadic multigrid method, which makes it possible to solve three dimensional elliptic boundary value problems with over 100 million unknowns on a desktop…”
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Numerical solution of second-order fuzzy nonlinear two-point boundary value problems using combination of finite difference and Newton’s methods by Jameel, Ali F., Saaban, Azizan, Zureigat, Hamzeh H.

“…In this paper, we discuss the numerical solution of second-order nonlinear two-point fuzzy boundary value problems (TPFBVP…”
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Mechanical model based on a BVP for FRPs applied on flat and curved masonry pillars with anchor spikes by Bertolesi, Elisa, Grande, Ernesto, Fagone, Mario, Milani, Gabriele, Rotunno, Tommaso

“…•Very good capability to reproduce experimental data, both globally and locally.•Full agreement with previously presented 3D FEM and simplified spring models…”
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Regression-based weight generation algorithm in neural network for solution of initial and boundary value problems by Chakraverty, S., Mall, Susmita

“…) with initial or boundary conditions. In our proposed method, the trial solution of differential equation has been used in the regression-based neural network (RBNN…”
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A diffuse interface immersed boundary method for complex moving boundary problems by De, Arnab Kr

“…A diffuse interface immersed boundary method is proposed for problems with arbitrarily moving complex rigid bodies…”
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Solution of linear and nonlinear singular value problems using operational matrix of integration of Fibonacci wavelets by Vivek, Kumar, Manoj

“…This article introduces a proficient method for solving both linear and nonlinear second-order singular value differential equations within the framework of Fibonacci wavelets and the collocation technique…”
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Biologically inspired computing framework for solving two-point boundary value problems using differential evolution by Fateh, Muhammad Faisal, Zameer, Aneela, Mirza, Nasir M., Mirza, Sikander M., Raja, Muhammad Asif Zahoor

“…In the present study, a design of biologically inspired computing framework is presented for solving second-order two-point boundary value problems (BVPs…”
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Mechanistically informed data-driven modeling of cyclic plasticity via artificial neural networks by Liu, Daoping, Yang, Hang, Elkhodary, K.I., Tang, Shan, Liu, Wing Kam, Guo, Xu

“… Specifically, a data-processing method is herein advanced to extract specific internal variables that characterize cyclic plastic behavior, which cannot be measured directly via physical experiments…”
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