Results 31 to 40 of about 180 (154)
Financial networks, Transportation network equilibrium, Variational inequalities, Supernetworks, Projected dynamical systems, Computation of equilibria, 65K10, 90B06, 91B28, 91B02,
Anna Nagurney, Zugang Liu
core +1 more source
Finite element estimates for a class of nonlinear variational inequalities
International Journal of Mathematics and Mathematical Sciences, Volume 16, Issue 3, Page 503-509, 1993.
Muhammad Aslam Noor
wiley +1 more source
On the nonlinear implicit complementarity problem
International Journal of Mathematics and Mathematical Sciences, Volume 16, Issue 4, Page 783-789, 1993.
A. H. Siddiqi, Q. H. Ansari
wiley +1 more source
Generalized derivatives and nonsmooth optimization, a finite dimensional tour
Convex optimization, nonsmooth analysis, nonsmooth optimization, set-valued maps, variational analysis, mathematical programming, nonconvex programming, nonlinear programming, optimality conditions, second order conditions, tangent cones, normal cones ...
Joydeep Dutta
core +1 more source
The robust isolated calmness of spectral norm regularized convex matrix optimization problems
This article aims to provide a series of characterizations of the robust isolated calmness of the Karush-Kuhn-Tucker (KKT) mapping for spectral norm regularized convex optimization problems. By establishing the variational properties of the spectral norm
Yin Ziran, Chen Xiaoyu, Zhang Jihong
doaj +1 more source
Geometric approaches to matrix normalization and graph balancing
Normal matrices, or matrices which commute with their adjoints, are of fundamental importance in pure and applied mathematics. In this paper, we study a natural functional on the space of square complex matrices whose global minimizers are normal ...
Tom Needham, Clayton Shonkwiler
doaj +1 more source
Modelling and solving the production rate variation problem (PRVP)
Just-in-time, Scheduling, 65K05, 65K10,
Albert Corominas +2 more
core +1 more source
Well-Posedness, Conditioning and Regularization of Minimization, Inclusion and Fixed-Point Problems [PDF]
AMS subject classification: 65K10, 49M07, 90C25, 90C48.Well-posedness, conditioning and regularization of fixed-point problems are studied in connexion with well-posedness, conditioning and Tikhonov regularization of minimization and inclusion problems ...
Lemaire, B.
core
Predicting COVID-19 outbreak in India using modified SIRD model
In this paper, the existing Susceptible-Infected-Recovered-Deceased (SIRD) compartmental epidemiologic process model is modified for forecasting the coronavirus effect in India.
Sakshi Shringi +5 more
doaj +1 more source
In deep learning, interval neural networks are used to quantify the uncertainty of a pre-trained neural network. Suppose we are given a computational problem $P$ and a pre-trained neural network $\Phi _P$ that aims to solve $P$ .
Luca Eva Gazdag +2 more
doaj +1 more source

