A numerically stable dual method for solving strictly convex quadratic programs

D. Goldfarb; A. Idnani

doi:10.1007/bf02591962

A numerically stable dual method for solving strictly convex quadratic programs

Mathematical Programming ◽

10.1007/bf02591962 ◽

1983 ◽

Vol 27 (1) ◽

pp. 1-33 ◽

Cited By ~ 567

Author(s):

D. Goldfarb ◽

A. Idnani

Keyword(s):

Dual Method ◽

Quadratic Programs ◽

Strictly Convex

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A Dual Method for Quadratic Programs with Quadratic Constraints

SIAM Journal on Applied Mathematics ◽

10.1137/0128046 ◽

1975 ◽

Vol 28 (3) ◽

pp. 568-576 ◽

Cited By ~ 18

Author(s):

J. G. Ecker ◽

R. D. Niemi

Keyword(s):

Dual Method ◽

Quadratic Programs ◽

Quadratic Constraints

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Efficient primal algorithms for strictly convex quadratic programs

Lecture Notes in Mathematics - Numerical Analysis ◽

10.1007/bfb0072668 ◽

1986 ◽

pp. 11-25

Author(s):

Donald Goldfarb

Keyword(s):

Quadratic Programs ◽

Strictly Convex ◽

Primal Algorithms

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Dual and primal-dual methods for solving strictly convex quadratic programs

Lecture Notes in Mathematics - Numerical Analysis ◽

10.1007/bfb0092976 ◽

1982 ◽

pp. 226-239 ◽

Cited By ~ 30

Author(s):

D. Goldfarb ◽

A. Idnani

Keyword(s):

Quadratic Programs ◽

Strictly Convex ◽

Dual Methods ◽

Primal Dual

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Towards a strongly polynomial algorithm for strictly convex quadratic programs: An extension of Tardos' algorithm

Mathematical Programming ◽

10.1007/bf01585740 ◽

1990 ◽

Vol 46 (1-3) ◽

pp. 225-236 ◽

Cited By ~ 8

Author(s):

Frieda Granot ◽

Jadranka Skorin-Kapov

Keyword(s):

Polynomial Algorithm ◽

Quadratic Programs ◽

Strongly Polynomial Algorithm ◽

Strictly Convex ◽

Strongly Polynomial

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A New Algorithm for Solving Strictly Convex Quadratic Programs

SIAM Journal on Optimization ◽

10.1137/s1052623493246045 ◽

1997 ◽

Vol 7 (3) ◽

pp. 595-619 ◽

Cited By ~ 56

Author(s):

Wu Li ◽

John Swetits

Keyword(s):

Quadratic Programs ◽

Strictly Convex

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On the Efficiency of Splitting and Projection Methods for Large Strictly Convex Quadratic Programs

Applied Optimization - Nonlinear Optimization and Related Topics ◽

10.1007/978-1-4757-3226-9_21 ◽

2000 ◽

pp. 401-413 ◽

Cited By ~ 1

Author(s):

Valeria Ruggiero ◽

Luca Zanni

Keyword(s):

Projection Methods ◽

Quadratic Programs ◽

Strictly Convex

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A Modified Projection Algorithm for Large Strictly-Convex Quadratic Programs

Journal of Optimization Theory and Applications ◽

10.1023/a:1004605612267 ◽

2000 ◽

Vol 104 (2) ◽

pp. 255-279 ◽

Cited By ~ 15

Author(s):

V. Ruggiero ◽

L. Zanni

Keyword(s):

Projection Algorithm ◽

Quadratic Programs ◽

Strictly Convex

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Alternating direction method of multipliers for strictly convex quadratic programs: Optimal parameter selection

2014 American Control Conference ◽

10.1109/acc.2014.6859093 ◽

2014 ◽

Cited By ~ 14

Author(s):

Arvind U. Raghunathan ◽

Stefano Di Cairano

Keyword(s):

Optimal Parameter ◽

Parameter Selection ◽

Alternating Direction Method ◽

Method Of Multipliers ◽

Quadratic Programs ◽

Strictly Convex ◽

Alternating Direction ◽

Optimal Parameter Selection

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Applying a Newton Method to Strictly Convex Separable Network Quadratic Programs

SIAM Journal on Optimization ◽

10.1137/s1052623494265359 ◽

1998 ◽

Vol 8 (3) ◽

pp. 728-745 ◽

Cited By ~ 6

Author(s):

J. Sun ◽

H. Kuo

Keyword(s):

Newton Method ◽

Quadratic Programs ◽

Strictly Convex

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Direct-dual method of mirror descent for conditional problems of stochastic optimization

Журнал вычислительной математики и математической физики ◽

10.31857/s004446690003533-7 ◽

2018 ◽

Vol 58 (11) ◽

pp. 1794-1803

Author(s):

A. Bayadina ◽

◽

A. Gasnikov ◽

E. Gasnikova ◽

S. Matsiyevsky ◽

...

Keyword(s):

Stochastic Optimization ◽

Dual Method ◽

Mirror Descent

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