Results 21 to 30 of about 1,887,807 (290)
Journal of King Saud University: Engineering Sciences, 2021 This paper presents a practical optimum design solution of prismatic simply supported prestressed concrete girders that are subjected to uniformly distributed static loads. The process is formulated as a nonlinear optimization model while assuming linear
N.A. Dahman +4 more
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Non-convex mixed-integer nonlinear programming : a survey [PDF]
, 2012 A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint functions are convex, some quite effective exact and heuristic algorithms are ...
Burer, S +3 more
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Journal of Inequalities and Applications, 2020 The convex nonlinear second-order cone programming with linear constraints is equivalent to a separate structure convex programming. A prediction-correction inexact alternating direction method is proposed for the separate structure convex programming ...
Yaling Zhang, Hongwei Liu
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The complexity of approximating a nonlinear program [PDF]
Mathematical Programming, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mihir Bellare, Phillip Rogaway
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Description of a Program for Nonlinear Programming: the Centroid Program [PDF]
The Computer Journal, 1985 Considered is a problem of non-linear programming in the form \(g_ e(x)\leq 0\), \(e=1,2,...,M\), f(x)\(\to \min\), where g and f are non-linear functions of the independent variable \(x=\{x_ 1,x_ 2,...,x_ t,...,x_ n\}\). We then define the penalty function \(F=\sum_{e}g^+_ e\), where \(g_ e>0\to g^+_ e=g_ e\), \(g_ e\leq 0\to g^+_ e=0\), and by an ...
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A partially linearized sigma point filter for latent state estimation in nonlinear time series models [PDF]
, 2010 A new technique for the latent state estimation of a wide class of nonlinear time series models is proposed. In particular, we develop a partially linearized sigma point filter in which random samples of possible state values are generated at the ...
Mamon, R, Date, P, Jalen, L
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HYBRID METHODOLOGY OF NONLINEAR GOAL PROGRAMMING
Acta Economica, 2003 What we demonstrate here is a nonlinear goal-programming (NLCP) algorithm based on original hybrid connection of the modified simplex method of goal programming, gradient method of feasible directions and method of optimal displacement size finding ...
Лазо Рољић, PhD
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Non-linear Programming via P-graph Framework
Chemical Engineering Transactions, 2019 P-graph is a graph-theoretic method which is designed to solve process network synthesis (PNS) problem using combinatorial and optimisation algorithms.
Bing Shen How +6 more
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Optimizing fuzzy nonlinear programming problems through effective ranking methods [PDF]
Journal of Fuzzy Extension and ApplicationsThis research addresses the challenges of Fuzzy Nonlinear Programming Problems (FNPPs), especially those with decision parameters defined by triangular fuzzy numbers.
Dharmaraj Bharathi +2 more
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Finding efficient nonlinear functions by means of genetic programming [PDF]
, 2003 7th International Conference, KES 2003. Proceedings, Part I. Oxford, UK, September 3-5, 2003The design of highly nonlinear functions is relevant for a number of different applications, ranging from database hashing to message authentication.
Pedro Isasi Viñuela +6 more
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