Results 31 to 40 of about 375,658 (336)
Lagrange multipliers in infinite dimensional spaces, examples of applications [PDF]
, 2020 The Lagrange multipliers method is used in mathematical analysis, in mechanics, in economics, and in several other fields, to deal with the search of the global maximum or minimum of a function, in the presence of a constraint.
Pierre Seppecher +2 more
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From Karush-Kuhn-Tucker conditions to Lagrange multipliers [PDF]
, 2022 openI modelli matematici sono spesso utilizzati in economia per rappresentare dei problemi decisionali, in cui è richiesto di scegliere un oggetto, che può essere a titolo di esempio una strategia pubblicitaria, un piano di produzione, un portafoglio ...
TREVISAN, MARTINA
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Dualities in Nonholonomic Optimization
Annals of the West University of Timisoara: Mathematics and Computer Science, 2016 This article deals with optimizing problems whose restrictions are nonholonomic. The central issue relates to dual nonholonomic programs (what they mean and how they are solved?) when the nonholonomic constraints are given by Pfaff equations.
Udrişte Constantin +3 more
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BIO Web of Conferences, 2020 The article presents a comparative analysis of the effectiveness of the use of finite elements of various dimensions in the study of the stress-strain state (SSS) of objects of the agro-industrial complex (AIC).
Klochkov Yuri +4 more
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Energies, 2022 Post-Optimum Sensitivity Analysis (POSA) extends numerical design optimization to provide additional information on how the design and performance would change if various parameters and constraints were varied.
Michael K. McWilliam +3 more
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Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
Entropy, 2021 The maximum entropy principle consists of two steps: The first step is to find the distribution which maximizes entropy under given constraints. The second step is to calculate the corresponding thermodynamic quantities.
Jan Korbel
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Quantum dynamics of Lagrange multipliers
Physical Review D, 2023 When implementing a non-linear constraint in quantum field theory by means of a Lagrange multiplier, $ł(x)$, it is often the case that quantum dynamics induce quadratic and even higher order terms in $ł(x)$, which then does not enforce the constraint anymore. This is illustrated in the case of Unimodular Gravity, where the constraint is that the metric
Enrique Álvarez +3 more
openaire +3 more sources
An Algorithm to Warm Start Perturbed (WASP) Constrained Dynamic Programs
IEEE Open Journal of Control Systems, 2022 Receding horizon optimal control problems compute the solution at each time step to operate the system on a near-optimal path. However, in many practical cases, the boundary conditions, such as external inputs, constraint equations, or the objective ...
Abhishek Gupta +2 more
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Lagrange multipliers for higher order elliptic operators [PDF]
, 2005 In this paper, the Babuška's theory of Lagrange multipliers is extended to higher order elliptic Dirichlet problems. The resulting variational formulation provides an efficient numerical squeme in meshless methods for the approximation of elliptic ...
Carlos Zuppa +2 more
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A Hypoquadratic Convergence Method for Lagrange Multipliers [PDF]
, 1994 In this paper, we investigate a class of hypoquadratically convergent methods for minimizing an objective function subject to equality constraints via the Lagrange multipliers method.
T Altman, P F Boulos
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