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inequality constraints

Implicit inequality constraints in a binary tree model

Implicit inequality constraints in a binary tree model

... This paper builds on the results in [12] where some partial understanding of the analytic approach to the maximum likelihood estimation was presented. The problem here is that routinely fitted phylogenetic models often ...

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Symplectic Numerical Approach for Nonlinear Optimal Control of Systems with Inequality Constraints

Symplectic Numerical Approach for Nonlinear Optimal Control of Systems with Inequality Constraints

... This paper proposes a system representation for unifying control design and numerical calcula- tion in nonlinear optimal control problems with inequality constraints in terms of the symplectic structure. ...

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Estimation with Inequality Constraints on Parameters and Truncation of the Sampling Distribution

Estimation with Inequality Constraints on Parameters and Truncation of the Sampling Distribution

... We consider the following transformation approach, widely used to impose inequality constraints in econometrics. If g is a continuous function of θ , and β is the constrained parameter, each approach ...

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On the Second Order Optimality Conditions for Optimization Problems with Inequality Constraints

On the Second Order Optimality Conditions for Optimization Problems with Inequality Constraints

... A nonlinear optimization problem (P) with inequality constraints can be converted into a new optimization problem (PE) with equality constraints only. This is a Valentine method for finite ...

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Numerical method for solving optimal control problem of the linear differential systems with inequality constraints

Numerical method for solving optimal control problem of the linear differential systems with inequality constraints

... The aim of this paper is developing a numerical scheme based on the adjustment of hat basis functions to solve the optimal control problem of the linear differential systems with inequality constraints. ...

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Meshless numerical analysis of partial differential equations with nonlinear inequality constraints

Meshless numerical analysis of partial differential equations with nonlinear inequality constraints

... Boundary-type numerical methods reduce the computational dimensions of the orig- inal problem by one and thus simplify the efforts involved in data preparation and CPU time. In the past two decades, meshless (or meshfree) ...

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GEOMETRIC FUNCTION OPTIMIZATION SUBJECT TO MIXED FUZZY RELATION INEQUALITY CONSTRAINTS

GEOMETRIC FUNCTION OPTIMIZATION SUBJECT TO MIXED FUZZY RELATION INEQUALITY CONSTRAINTS

... [1], geometric [11, 16, 19]. The nonlinear optimization problem with a non-differential objective function provided to a system of Mixed FREs (MFREs) with the max-min and max-product composition operator have been ...

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The Continuous Classical Boundary Optimal Control of Couple Nonlinear Hyperbolic Boundary Value Problem with Equality and Inequality Constraints

The Continuous Classical Boundary Optimal Control of Couple Nonlinear Hyperbolic Boundary Value Problem with Equality and Inequality Constraints

... The Galerkin method with the Aubin theorem are used successfully to prove the existence of unique "continuous state vector" solution for CNLHEQS when the CCBCV is given. The theorem of existence CCBOCV governing ...

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A class of derivative free trust region methods with interior backtracking technique for nonlinear optimization problems subject to linear inequality constraints

A class of derivative free trust region methods with interior backtracking technique for nonlinear optimization problems subject to linear inequality constraints

... 2 A derivative-free trust region method with interior backtracking technique To solve the optimization problem (1) with not all available first- or second-order deriva- tives, we design a derivative-free trust-region ...

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Modified Kaptur’s Measures of Entropy and Directed Divergence on Imposition of Inequality Constraints on Probabilities

Modified Kaptur’s Measures of Entropy and Directed Divergence on Imposition of Inequality Constraints on Probabilities

... The inequality constraints (2.2) are answered i.e. each proportion or probability is constrained to exist between particular limit. If we maximize Shannon’s [2] measure of entropy conditional to these ...

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Multi objective multi item solid transportation problem with fuzzy inequality constraints

Multi objective multi item solid transportation problem with fuzzy inequality constraints

... Zimmermann (Int. J. Gen. Syst. 2:209-215, 1976) first introduced the concept of fuzzy inequality in the field of linear programming problem (LPP). But this concept is hardly used in any real life applications of ...

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Call option price function in Bernstein polynomial basis with no arbitrage inequality constraints

Call option price function in Bernstein polynomial basis with no arbitrage inequality constraints

... the constraints of mono- tonicity, convexity, and other bounds on the function and its first derivative on the entire domain leads to a set of linear inequality constraints on unknown ...

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Linear programming with inequality constraints via entropic perturbation

Linear programming with inequality constraints via entropic perturbation

... Immediate applications of the theory developed include an entropic path-following approach to solving linear semi-infinite programs with an infinite number of inequality constraints and [r] ...

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Fritz John Duality in the Presence of Equality and Inequality Constraints

Fritz John Duality in the Presence of Equality and Inequality Constraints

... and inequality constraints which represent many realistic situation, is formulated which uses Fritz John optimality conditions instead of the Karush-Kuhn-Tucker optimality conditions and does not require a ...

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Evaluation and Extension of Maximum Entropy Models with Inequality Constraints

Evaluation and Extension of Maximum Entropy Models with Inequality Constraints

... The inequality ME model differs from the Gaus- sian MAP estimation in that its solution becomes sparse ...the inequality ME model embeds feature selection in its ...

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Fully fuzzy linear programming with inequality constraints

Fully fuzzy linear programming with inequality constraints

... with inequality constraint by representing all param- eters as triangular fuzzy ...with inequality constraints, occurring in real life situation, can be easily ...

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Gaussian Processes with Linear Operator Inequality Constraints

Gaussian Processes with Linear Operator Inequality Constraints

... There are also some approaches to constrained GPs that are not based on the idea of using virtual observations. An interesting approach by Maatouk and Bay (2017), that is also followed up by L´ opez-Lopera et al. (2018), ...

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Optimal control and inverse problems involving point and line functionals and inequality constraints

Optimal control and inverse problems involving point and line functionals and inequality constraints

... Regularity issues are also faced by elliptic optimal control problems with state constraints. [Leykekhman et al., 2013] proves error estimates for problems with state constraints at a finite number of ...

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A new model for solving fuzzy linear fractional programming problem with ranking function

A new model for solving fuzzy linear fractional programming problem with ranking function

... In this paper, a new method is proposed for finding the fuzzy optimal solution of FLFP problems with inequality constraints. The coefficients of the objective function are represented by trapezoidal fuzzy ...

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A  Secure Structure for Hiding Information in a Cryptosystem based on Machine-learning Techniques and Content-based Optimization using Portfolio Selection Data

A Secure Structure for Hiding Information in a Cryptosystem based on Machine-learning Techniques and Content-based Optimization using Portfolio Selection Data

... The optimized values obtained after running classical Lagrangian multiplier method with sample input- values of ai , bi and ci and using the inequality constraints values of a 1 , a 2 an[r] ...

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