Results 111 to 120 of about 4,084 (221)

Analysis and methods in nonsmooth and nonconvex optimization

, 1998
"The purpose of this thesis is to propose, by a variety of techniques from nonsmooth and convex analysis, numerical methods for the solution of nonsmooth equations and nonconvex minimization problems arising in mathematical programming, economics ...
Xu, Huifu
core  

Phase variation in <i>Mannheimia haemolytica</i> challenges the static genome paradigm. [PDF]

Microbiol Spectr
Harhay GP, McClure KK, Brader KD, Kuhn KL, Smith TPL, Harhay DM.   +5 more
europepmc   +1 more source

A web-based prognostic nomogram incorporating VETC-associated imaging markers for predicting postoperative recurrence in hepatocellular carcinoma. [PDF]

BMC Cancer
Zhao YM, Xie SS, Yu YQ, Li ZX, Qin JM, Hu ZD, Zhang YM, Ye ZX, Yan JH, Shen W.   +9 more
europepmc   +1 more source

Convergence in approximation and nonsmooth analysis

, 1987
Papageorgiou, Nikolaus S, KANDILAKIS, D, PAPAGEORGIOU, N, Kandilakis, Dimitrios A   +3 more
core   +1 more source

Numerical simulation of velocity gradient scattering waves in visco-acoustic smooth media based on F-K domain integration method. [PDF]

Sci Rep
Ou T, Chen G, Yang Y, Ren C, Wang Z, Lan P, Wu J, Liu H, Rongjie H.   +8 more
europepmc   +1 more source

A novel high-dimensional model for identifying regional DNA methylation QTLs. [PDF]

Biostatistics
Zhao K, Yang AY, Oualkacha K, Zeng Y, Klein K, Hudson M, Colmegna I, Bernatsky S, Greenwood CMT.   +8 more
europepmc   +1 more source

Nonsmooth Optimization and Descent Methods

, 1978
Nonsmooth optimization is a field of research actively pursued at IIASA. In this paper, we show "what" it is; a thing that cannot be guessed easily from its definition by a negative statement. Also, we show "why" it exists at IIASA, by exhibiting a large
Lemarechal, C.
core  

Advancing precision in hepatocellular carcinoma prognostication: The promise of biparametric magnetic resonance imaging-based multimodal models. [PDF]

World J Hepatol
Zhou SQ, Ke QH.
europepmc   +1 more source

Biparametric magnetic resonance imaging-based radiomic and deep learning models for predicting Ki-67 risk stratification in hepatocellular carcinoma. [PDF]

World J Hepatol
Zuo XY, Liu HF.
europepmc   +1 more source

M-PSGP: a momentum-based proximal scaled gradient projection algorithm for nonsmooth optimization with application to image deblurring. [PDF]

Front Big Data
Ning K, Lü Q, Liao X.
europepmc   +1 more source