Results 81 to 90 of about 970,333 (280)
A Quantum Interior Point Method for LPs and SDPs
We present a quantum interior point method with worst case running time $\widetilde{O}(\frac{n^{2.5}}{\xi^{2}} \mu \kappa^3 \log (1/\epsilon))$ for SDPs and $\widetilde{O}(\frac{n^{1.5}}{\xi^{2}} \mu \kappa^3 \log (1/\epsilon))$ for LPs, where the output
Kerenidis, Iordanis, Prakash, Anupam
core
Nuclear pore links Fob1‐dependent rDNA damage relocation to lifespan control
Damaged rDNA accumulates at a specific perinuclear interface that couples nucleolar escape with nuclear envelope association. Nuclear pores at this site help inhibit Fob1‐induced rDNA instability. This spatial organization of damage handling supports a functional link between nuclear architecture, rDNA stability, and replicative lifespan in yeast.
Yamato Okada +5 more
wiley +1 more source
An infeasible-interior-point method for the \(P_\ast(k)\) -matrix LCP
Not available.
Jun Ji, Florian A. Potra
doaj +2 more sources
A new perspective on the complexity of interior point methods for linear programming [PDF]
In a dynamical systems paradigm, many optimization algorithms are equivalent to applying forward Euler method to the system of ordinary differential equations defined by the vector field of the search directions.
Cartis, Coralia, Hauser, Raphael
core
Interior point methods 25 years later [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui +10 more
wiley +1 more source
INFEASIBLE FULL NEWTON-STEP INTERIOR-POINT METHOD FOR LINEAR COMPLEMENTARITY PROBLEMS
In this paper we consider an Infeasible Full Newton-step Interior-Point Method (IFNS-IPM) for monotone Linear Complementarity Problems (LCP). The method does not require a strictly feasible starting point.
Goran Lešaja +2 more
doaj
Polynomial Linear Programming with Gaussian Belief Propagation
Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typically solves LP problems in time O(n^{3.5}), where $n$ is the number of unknown ...
Bickson, Danny +3 more
core +2 more sources
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel +4 more
wiley +1 more source
Experimental investigation of an interior search method within a simple framework [PDF]
A steepest gradient method for solving Linear Programming (LP) problems, followed by a procedure for purifying a non-basic solution to an improved extreme point solution have been embedded within an otherwise simplex based optimiser.
Mitra, G, Tamiz, M, Yadeger, J
core

