Results 61 to 70 of about 2,777,990 (323)

On finitely generated closures in the theory of cutting planes [PDF]

open access: yesDiscrete Optimization, 2011
Let $P$ be a rational polyhedron in $\mathbb{R}^d$ and let $\mathcal{L}$ be a class of $d$-dimensional maximal lattice-free rational polyhedra in $\mathbb{R}^d$. For $L \in \mathcal{L}$ by $R_L(P)$ we denote the convex hull of points belonging to $P$ but
G. Averkov
semanticscholar   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Reformulation versus cutting-planes for robust optimization

open access: yesComputational Management Science, 2015
Robust optimization (RO) is a tractable method to address uncertainty in optimization problems where uncertain parameters are modeled as belonging to uncertainty sets that are commonly polyhedral or ellipsoidal.
D. Bertsimas, Iain Dunning, Miles Lubin
semanticscholar   +1 more source

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

open access: yesFEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg   +14 more
wiley   +1 more source

A nontangential cutting plane algorithm

open access: yesOperations Research Letters, 2002
The author examines the cutting plane algorithm for solving the Lagrangian dual problem of a convex program. This paper demonstrates that the algorithm still converges to an optimal solution when cuts are nontangential or generated by not solving the optimality or nearly so. Computational results from randomly generated linear and quadratic programming
Industrial and Systems Engineering Department, University of Florida Weil Hall, Gainesville, FL 32611, USA ( host institution )   +1 more
openaire   +4 more sources

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

open access: yesFEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas   +4 more
wiley   +1 more source

Cutting Planes for Signomial Programming

open access: yesSIAM Journal on Optimization
Cutting planes are of crucial importance when solving nonconvex nonlinear programs to global optimality, for example using the spatial branch-and-bound algorithms. In this paper, we discuss the generation of cutting planes for signomial programming. Many global optimization algorithms lift signomial programs into an extended formulation such that these
Liding Xu   +3 more
openaire   +3 more sources

Stochastic Cutting Planes for Data-Driven Optimization

open access: yes, 2022
We introduce a stochastic version of the cutting plane method for a large class of data-driven mixed-integer nonlinear optimization (MINLO) problems.
Bertsimas, Dimitris, Li, Michael Lingzhi
core   +1 more source

NUMERICAL METHODS TO ESTIMATE PARAMETERS IN QUANTILE REGRESSION MÉTODOS NUMÉRICOS PARA LA ESTIMACIÓN DE PARÁMETROS EN REGRESIÓN CUANTÍLICA

open access: yesRevista Colombiana de Estadística, 2005
Quantile regression is a nondifferentiable convex optimization problem. We compare three classical numerical methods, two of them based on linear optimization, and the cutting plane method.
Mora Escobar Héctor Manuel
doaj  

Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics

open access: yesFEBS Letters, EarlyView.
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt   +8 more
wiley   +1 more source

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