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Structure-Preserving Excess Gibbs Learning for Multicomponent Phase Equilibria: A Falsifiable and Uncertainty-Aware Synthetic Study. [PDF]

Int J Mol Sci
Robles P, Rios-Colque L, Bazan V, Rojas-Valdivia L.   +3 more
europepmc   +1 more source

Dynamics of Multicomponent Vesicles in Narrow Channel. [PDF]

Membranes (Basel)
Xiao W, Wang P, Liu K.
europepmc   +1 more source

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Interior-Point Methods

2017
One of the most powerful methods for solving nonlinear optimization problems known as interior point methods is to be presented in this chapter. They are related to barrier functions. The terms “interior point methods” and “barrier methods” have the same significance and may be used interchangeably.
Richard W. Cottle, Mukund N. Thapa
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Insights into the interior-point methods

ZOR Zeitschrift f�r Operations Research Methods and Models of Operations Research, 1992
This paper studies the search directions of three important interior- point algorithms, namely, the primal-affine scaling method, the dual- affine scaling method and the primal-dual interior point method (with logarithmic barrier function). From an algebraic point of view, the paper shows that the search directions of these three algorithms are merely ...
Ruey-Lin Sheu, Shu-Cherng Fang
openaire   +2 more sources

Interior point methods for placement

1994 IEEE International Symposium on Circuits and Systems (ISCAS), 1994
In VLSI layout optimization, the placement problem is usually solved with simulated annealing or heuristic algorithms. These procedures often begin with random initial configurations but may benefit greatly (in terms of execution time or quality of solution) when good initial relative placements are provided.
P. Chin, Anthony Vannelli
openaire   +2 more sources