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Mesoscale Modeling of Steel Fiber Reinforced Concrete Using Geometric Entity Expansion and Point-Line Topology. [PDF]
Li J, Zhang L, Li Y, Sun C.
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Optimization design of interior space based on the two-stage deep learning network and Single sample-driven method. [PDF]
Na L, Hui Z, Huaxia X.
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Proteins Inside the HSP60/HSP10 Fold Under a Constant Electric Field: Potential Implications for the Protein Folding Problem. [PDF]
Peña-Ortiz LJ +5 more
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PlantEFRSegnet: A Plant Point Cloud Segmentation Network Based on Edge Point Preservation and Feature Feedback Repair. [PDF]
Li B, Liu P, Zhang Y.
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Reliability and Safety of Smartwatch Blood Pressure and Oxygen Saturation Measurements in Older Adults: Instrument Validation Study. [PDF]
Madeira R +7 more
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The interior-point method for linear programming
IEEE Software, 1992A robust, reliable, and efficient implementation of the primal-dual interior-point method for linear programs, which is based on three well-established optimization algorithms, is presented. The authors discuss the theoretical foundation for interior-point methods which consists of three crucial building blocks: Newton's method for solving nonlinear ...
Greg Astfalk +3 more
exaly +2 more sources
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
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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, 1992This 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
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