Results 61 to 70 of about 2,777,990 (323)
On finitely generated closures in the theory of cutting planes [PDF]
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
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
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
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
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
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
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
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
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
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

