nonlinear programming
A Smooth Newton Method for Nonlinear Programming Problems with Inequality Constraints
... The paper presents a reformulation of the Karush-Kuhn- Tucker (KKT) system associated nonlinear programming prob- lem into an equivalent system of smooth equations. Classical Newton method is applied to ...
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SEWAGE TREATMENT EFFICIENCIES ESTIMATION FOR URBAN AREAS LOCATED IN THE RIVER PARDO’S WATERSHED BY ASSOCIATING NONLINEAR PROGRAMMING AND WATER QUALITY MODELING
... and Nonlinear Programming (NLP) are jointly applied to sewage treatment levels selection for the river Pardo’s (watercourse located in Espírito Santo State, Southern region, Brazil) watershed different ...
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Branch and Bound Based Coordinate Search Filter Algorithm for Nonsmooth Nonconvex Mixed-Integer Nonlinear Programming Problems
... Abstract. A mixed-integer nonlinear programming problem (MINLP) is a problem with continuous and integer variables and at least, one nonlinear function. This kind of problem appears in a wide range ...
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INEXACT RESTORATION METHOD for DERIVATIVE-FREE OPTIMIZATION WITH SMOOTH CONSTRAINTS
... address nonlinear programming problems in which the derivatives of the objective function are not available, whereas the deriva- tives of the constraints are ...highly nonlinear, ...
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Pesqui. Oper. vol.34 número3
... Semidefinite programming (SDP) is one of the most vigorous and fruitful research topics in optimization the last two ...from nonlinear programming to semialgebraic ...semidefinite programming ...
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Multi level Programming in Multi Site Production Systems Analysis
... stochastic programming, we propose new two-level fuzzy random decision making models which maximize the probabilities that the degrees of possibility and necessity are greater than or equal to certain ...linear ...
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Pesqui. Oper. vol.34 número3
... The trust-region-based methods constitute a relatively recent research area among the nonlinear programming community. The fact that over half of the referred contributions of this survey date from 2000 ...
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Comput. Appl. Math. vol.24 número3
... quadratic programming (ALSQP) Algorithm that makes use of trust region for finding an approximate solution to ...solving nonlinear programming (NLP) ...
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Comput. Appl. Math. vol.30 número1
... The ALIO-INFORMS 2010 focused on topics such as services, logistics and transportation, manufacturing, supply chain management, environment, natural resources, biotechnology, and healthcare, emphasizing the importance of ...
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Geometric Programming Problem with Co-Efficients and Exponents Associated with Binary Numbers
... Geometric programming (GP) provides a power tool for solving a variety of optimization ...geometric programming (GP) are engineering design problems in which some of the problem parameters are estimating of ...
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Comput. Appl. Math. vol.30 número1
... No matter the author, each formulation eventually represents the physical structural problem by means of a nonlinear programming problem. The degree of nonlinearity of the objective function and of the ...
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OPTIMALITY CONDITIONS FOR LOCALLY LIPSCHITZ GENERALIZED B-VEX SEMI-INFINITE PROGRAMMING
... It is well known that convexity play an important role in establishing the sufficient optimality conditions and duality theorems for a nonlinear programming problem. Several class of functions have been ...
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An Improved Differential Evolution Based Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function
... quadratic programming (SQP) method seems to be the best nonlinear programming method for constrained optimization problem but the objective function to be minimized is nonconvex , it ensures the ...
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Taylor Approach for Solving Non-Linear Bi-level Programming Problem
... Since in problem (3), most of the equality constraints are not linear then it concerns that the above problem is a non- convex programming problem, which indicates there are local optimal solutions that are not ...
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Activity Surveillance and Hawthorne Effect to Prevent Programming Plagiarism
... that programming students get the right message from the ...that programming activity profile in Java format is created when students are developing their Java ...keep programming activity log ...
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QUADRATIC PROGRAMMING VERSUS SECOND ORDER CONE PROGRAMMING IN PORTFOLIO OPTIMIZATION
... Carhart (1997) and Black – Litterman by Black and Litterman (1991), but few on how the actual portfolio optimal combination is computed. The traditional Markowitz optimization model is solved by a Quadratic ...
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MULTIPLE SOLUTIONS FOR A PROBLEM WITH RESONANCE INVOLVING THE p-LAPLACIAN
... [15] L. Boccardo, P. Dr´ abek, M. Kuˇcera, Landesman-Lazer conditions for strongly non- linear boundary value problems, Comment. Math. Univ. Carolin. 30 (1989), 411–427. [16] A. Anane and J.-P. Gossez, Strongly ...
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Genetic terrain programming
... On this report we present the Genetic Terrain Programming technique for terrain generation. The idea behind this new approach is to use interac- tive evolution with GP to generate TPs. To employ this technique a ...
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Child Programming: An adequate Domain Specific Language for programming specific robots
... visual programming language concepts and textual ...of programming, whether for an ex- perienced programmer or a person who has no background/programming ...of programming languages also ...
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A Simplex Based Parametric Programming Method for the Large Linear Programming Problem
... to remove the fixed variables and redundant constraints of the LP model before the parametric programming. Primal and dual infeasibility are used as criterions of the optimal of the LP model in the calculation of ...
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