Results 51 to 60 of about 154,776 (154)
Neutrosophic augmented Lagrange multipliers method Nonlinear Programming Problems Constrained by Inequalities [PDF]
Operations research uses scientific methods that take the language of mathematics as a basis and uses the computer, without which it would not be possible to achieve numerical solutions to the problems raised.
Florentin Smarandache +2 more
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Model reduction methods often aim at an identification of slow invariant manifolds in the state space of dynamical systems modeled by ordinary differential equations.
Lebiedz, Dirk, Siehr, Jochen
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Dynamics of Dengue epidemics using optimal control [PDF]
We present an application of optimal control theory to Dengue epidemics. This epidemiologic disease is an important theme in tropical countries due to the growing number of infected individuals.
Betts +14 more
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Combining recent moment and sparse semidefinite programming (SDP) relaxation techniques, we propose an approach to find smooth approximations for solutions of problems involving nonlinear differential equations.
Henrion, Didier +2 more
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In compressive sensing, the basis pursuit algorithm aims to find the sparsest solution to an underdetermined linear equation system. In this paper, we generalize basis pursuit to finding the sparsest solution to higher order nonlinear systems of ...
Dong, Roy +3 more
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Singularly perturbed forward-backward stochastic differential equations: application to the optimal control of bilinear systems [PDF]
We study linear-quadratic stochastic optimal control problems with bilinear state dependence for which the underlying stochastic differential equation (SDE) consists of slow and fast degrees of freedom.
Hartmann, Carsten +2 more
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Optimal designs for rational function regression
We consider optimal non-sequential designs for a large class of (linear and nonlinear) regression models involving polynomials and rational functions with heteroscedastic noise also given by a polynomial or rational weight function.
A. Dembo +92 more
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Hierarchical MEC Servers Deployment and User-MEC Server Association in C-RANs over WDM Ring Networks
With the increasing number of Internet of Things (IoT) devices, a huge amount of latency-sensitive and computation-intensive IoT applications have been injected into the network. Deploying mobile edge computing (MEC) servers in cloud radio access network
Zhen Liu +3 more
doaj +1 more source
Adjoint-based predictor-corrector sequential convex programming for parametric nonlinear optimization [PDF]
This paper proposes an algorithmic framework for solving parametric optimization problems which we call adjoint-based predictor-corrector sequential convex programming.
Diehl, M., Dinh, Q. Tran, Savorgnan, C.
core
In this paper, we propose a contact-implicit trajectory optimization (CITO) method based on a variable smooth contact model (VSCM) and successive convexification (SCvx).
Long, Philip +2 more
core +1 more source

