Results 11 to 20 of about 13,012,379 (283)
Reformulations of mathematical programming problems as linear complementarity problems [PDF]
A family of complementarity problems are defined as extensions of the well known Linear Complementarity Problem (LCP). These are (i.) Second Linear Complementarity Problem (SLCP) which is an LCP extended by introducing further equality restrictions and ...
Mitra, G, Judice, JJ
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Linear, integer separable and fuzzy programming problems: a united approach towards automatic reformulation [PDF]
For mathematical programming (MP) to have greater impact as a decision tool, MP software systems must offer suitable support in terms of model communication and modelling techniques.
Mitra, G +3 more
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Computer assisted modelling of linear, integer and separable programming problems [PDF]
For mathematical programming (MP) to have greater impact upon the decision making process, MP software systems must offer suitable support in terms of model communication and modelling techniques .
Mitra, G, Darby-Dowman, K, Lucas, CA
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Resource Allocation by Convex Monotonous Programming Application to an Otec Energy Production Platform [PDF]
A problem is considered of the minimization of a convex and monotonically increasing cost function subject to an upper bound of a convex and monotonically decreasing failure probability function.
Kåre M. Mjelde, S. Fjeld
doaj +1 more source
Production Constraints Modelling: A Tactical Review Approach [PDF]
A constraint is a limitation or a restriction that poses a threat to the performance and efficiency of a system. This paper presented a tactical review approach to production constraints modeling.
Chinedum Mgbemena +2 more
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Componentwise Fractional Programming with Application to Resource Allocation [PDF]
A fractional programming problem is considered of the maximization of the ratio of a concave and a convex function, with each variable occurring in a single convex component constraint.
Kåre M. Mjelde
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Linear fractional programming is a special case of non-linear programming with an objective function consisting of the ratio of two linear functions. The problem can be solved using the Dinkelbach algorithm and the Charnes Cooper transformation.
Muhammad Wakhid Musthofa +1 more
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Non-linear Programming via P-graph Framework
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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Developments in linear and integer programming [PDF]
In this review we describe recent developments in linear and integer (linear) programming. For over 50 years Operational Research practitioners have made use of linear optimisation models to aid decision making and over this period the size of problems ...
Darby-Dowman, K, Wilson, J M
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Non-Linear Programming Distillation Model for Simultaneous Process Optimisation
Distillation columns are prevalent process units used to purify chemicals. However, they consume significant amounts of energy for heating and cooling. A rigorous non-linear programming (NLP) distillation model where mass, equilibrium, summation and heat
Keat Ping Yeoh, Chi Wai Hui
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