Results 221 to 230 of about 16,527,400 (269)

Simulation-driven experiments resolve throttle pedal vibration issues. [PDF]

Sci Rep
Liu X, Yan F, Li X, Zhao P, Cheng Y.
europepmc   +1 more source

The distribution and origin of Mercury's crustal magnetization. [PDF]

Proc Natl Acad Sci U S A
Johnson CL, Plattner AM, Cicchetti F, Miljković K.   +3 more
europepmc   +1 more source

Mercury at the Dawn of a New Exploration Phase. [PDF]

Nat Commun
Del Vecchio E, Zomerdijk-Russell S, Buoninfante S.   +2 more
europepmc   +1 more source

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On Numerical Issues of Interior Point Methods

SIAM Journal on Matrix Analysis and Applications, 2008
This paper concerns some numerical stability issues of factorizations in interior point methods. In our investigation we focus on regularization techniques for the augmented system. We derive the fundamental property of regularization and necessary conditions for the convergence of iterative refinement. A relaxation technique is described that improves
Csaba Mészáros
exaly   +2 more sources

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.
Nikolaos Ploskas, Nikolaos Samaras
  +5 more sources

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