Quasi-Newton Methods for Solving Nonlinear Programming Problems [PDF]
Computer Science Journal of Moldova, 1996 In the present paper the problem of constrained equality optimization is reduced to sequential solving a series of problems of quadratic programming. The Hessian of the Lagrangian is approximated by a sequence of symmetric positive definite matrices. The
V.Moraru
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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
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Two methods for solving electrostatic problems with azimuthal symmetry [PDF]
Revista Brasileira de Ensino de FísicaThe study of electrostatic phenomena is the gateway to the physics described by Classical Electrodynamics. In this paper, we discuss in detail two methods based on the Uniqueness Theorem for solving electrostatic problems with azimuthal symmetry.
T.E.P. Bueno, U. Camara da Silva
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Methods Used For Solving Project Management Problems And Thei Comparisons [PDF]
The Egyptian International Journal of Engineering Sciences and Technology, 1999 The major results gained from research is entering some suitable adjustment forconventional planning techniques to able as control tool in updating, clearing to manydivisions for precedence diagram, PD.
AbdelRazek AbuolNour
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Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization [PDF]
, 2017 Interior point methods provide an attractive class of approaches for solving linear, quadratic and nonlinear programming problems, due to their excellent efficiency and wide applicability.
Gondzio, Jacek +4 more
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Numerical Methods for Solving Linear Time Varying Quadratic Optimal Control Problems
Results in Control and Optimization, 2022 In this article, we discussed linear time varying optimal control problems with quadratic performance index, and approximated control variable, state variable and performance index. There are many different numerical processes for approximating of linear
Adane Akate Ayalew
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Three-Step Projective Methods for Solving the Split Feasibility Problems
Mathematics, 2019 In this paper, we focus on studying the split feasibility problem (SFP) in Hilbert spaces. Based on the CQ algorithm involving the self-adaptive technique, we introduce a three-step iteration process for approximating the solution of SFP.
Suthep Suantai +3 more
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Methods for Solving Some Fractional Integral
, 2023 : In this paper, based on Jumarie’s modified Riemann-Liouville (R-L) fractional calculus, we evaluate some fractional integral. The main methods we used are fractional L’Hospital’s rule, integration by parts for fractional calculus, and a new ...
Chii-Huei Yu
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Alternative methods for solving nonlinear two-point boundary value problems
Open Physics, 2018 In this sequel, the numerical solution of nonlinear two-point boundary value problems (NTBVPs) for ordinary differential equations (ODEs) is found by Bezier curve method (BCM) and orthonormal Bernstein polynomials (OBPs). OBPs will be constructed by Gram-
Ghomanjani Fateme, Shateyi Stanford
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Simple methods of engineering calculation for solving heat transfer problems
Mathematical Modelling and Analysis, 2003 There are well‐known numerical methods for solving the initial‐boundary value problems for partial differential equations. We mention only some of them: finite difference method (FDM), finite element method (FEM), boundary element method (BEM), Galerkin ...
H. Kalis, I. Kangro
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