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Penalty Lagrangian Methods Via a Quasi-Newton Approach:

Han, Shih-Ping
Mathematics of Operations Research. 4 (1979) 3 - p. 291-302 , 1979

Link: https://www.jstor.org/stable/3689582

RT Journal
T1 <Title>Penalty Lagrangian Methods Via a Quasi-Newton Approach</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-3689582&Exemplar=1&LAN=DE
				
A1 Han, Shih-Ping
PB The Institute of Management Sciences and the Operations Research Society of America
YR 1979
SN 0364-765X
SN 1526-5471
K1 Nonlinear programming
K1 Constrained optimization
K1 Augmented Lagrangian
K1 Penalty Lagrangian
K1 Quasi-Newton methods
K1 Kuhn-Tucker point
K1 Physical sciences
K1 Physics
K1 Mechanics
K1 Classical mechanics
K1 Kinematics
K1 Equations of motion
K1 Lagrangian function
K1 Applied sciences
K1 Computer science
K1 Algorithms
K1 Computer programming
K1 Mathematical programming
K1 Mathematics
K1 Mathematical procedures
K1 Mathematical optimization
K1 Pure mathematics
K1 Linear algebra
K1 Vector analysis
K1 Mathematical vectors
K1 Matrix theory
K1 Matrices
K1 Hessian matrices
K1 Quadratic programming
K1 Approximation
K1 Mathematical values
K1 Critical values
K1 Extrema
K1 Local extrema
K1 Local minimum
JF Mathematics of Operations Research
VO 4
IS 3
SP 291
OP 302
LK http://dx.doi.org/https://www.jstor.org/stable/3689582
DO https://www.jstor.org/stable/3689582
SF ELIB - SuUB Bremen

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