CONVERGENCE OF AN ITERATIVE PROCESS GENERATED BY A REGULAR VECTOR FIELD.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 231, doi. 10.23952/jano.3.2021.1.14
- By:
- Publication type:
- Article
Works matching IS 25625527 AND DT 2021 AND VI 3 AND IP 1
Results: 14
1
2
CONVERGENCE OF RELAXED INERTIAL METHODS FOR EQUILIBRIUM PROBLEMS.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 215, doi. 10.23952/jano.3.2021.1.13
- By:
- Publication type:
- Article
3
OPTIMAL CONTROL IN THE TRAFFIC FLOW: MULTI-LANE SIGNALIZED INTERSECTION.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 211, doi. 10.23952/jano.3.2021.1.12
- By:
- Publication type:
- Article
4
A WEAK CONVERGENCE THEOREM FOR RELATIVELY NONEXPANSIVE MAPPINGS AND MAXIMAL MONOTONE OPERATORS IN A BANACH SPACE.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 197, doi. 10.23952/jano.3.2021.1.11
- By:
- Publication type:
- Article
5
ON GLOBAL OPTIMALITY CONDITIONS FOR D.C. MINIMIZATION PROBLEMS WITH D.C. CONSTRAINTS.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 175, doi. 10.23952/jano.3.2021.1.10
- By:
- Publication type:
- Article
6
A SURVEY OF CLUSTERING METHODS VIA OPTIMIZATION METHODOLOGY.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 151, doi. 10.23952/jano.3.2021.1.09
- By:
- Publication type:
- Article
7
EXTENDED GAUSS-NEWTON AND ADMM-GAUSS-NEWTON ALGORITHMS FOR LOW-RANK MATRIX OPTIMIZATION.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 115, doi. 10.23952/jano.3.2021.1.08
- By:
- Publication type:
- Article
8
LEARNING INCENTIVIZATION STRATEGY FOR RESOURCE REBALANCING IN SHARED SERVICES WITH A BUDGET CONSTRAINT.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 105, doi. 10.23952/jano.3.2021.1.07
- By:
- Publication type:
- Article
9
MINIMUM ENERGY CONTROL PROBLEM FOR ONE CLASS OF SINGULARLY PERTURBED SYSTEMS WITH INPUT DELAY.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 85, doi. 10.23952/jano.3.2021.1.06
- By:
- Publication type:
- Article
10
MINIMAX EXACTNESS AND GLOBAL SADDLE POINTS OF NONLINEAR AUGMENTED LAGRANGIANS.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 61, doi. 10.23952/jano.3.2021.1.05
- By:
- Publication type:
- Article
11
NON-EUCLIDEAN PROXIMAL METHODS FOR CONVEX-CONCAVE SADDLE-POINT PROBLEMS.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 43, doi. 10.23952/jano.3.2021.1.04
- By:
- Publication type:
- Article
12
AUGMENTED LAGRANGIAN - FAST PROJECTED GRADIENT ALGORITHM WITH WORKING SET SELECTION FOR TRAINING SUPPORT VECTOR MACHINES.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 3, doi. 10.23952/jano.3.2021.1.02
- By:
- Publication type:
- Article
13
EDITORIAL A SPECIAL ISSUE ON OPTIMIZATION AND RELATED TOPICS DEDICATED TO PROFESSOR ROMAN POLYAK.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 1, doi. 10.23952/jano.3.2021.1.01
- By:
- Publication type:
- Article
14
DATA-COMPATIBILITY OF ALGORITHMS FOR CONSTRAINED CONVEX OPTIMIZATION.
- Published in:
- Journal of Applied & Numerical Optimization, 2021, v. 3, n. 1, p. 21, doi. 10.23952/jano.3.2021.1.03
- By:
- Publication type:
- Article