On a conjugate directions method for solving strictly convex QP problem

Mathematical Methods of Operations Research ◽

10.1007/s00186-017-0607-z ◽

2017 ◽

Vol 86 (3) ◽

pp. 523-548

Author(s):

Andrzej Stachurski

Keyword(s):

Conjugate Directions ◽

Strictly Convex

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Estimating Large-Scale Tree Logit Models via a Difference of Strictly Convex Functions

SSRN Electronic Journal ◽

10.2139/ssrn.3416311 ◽

2018 ◽

Author(s):

Srikanth Jagabathula ◽

Paat Rusmevichientong

Keyword(s):

Convex Functions ◽

Large Scale ◽

Logit Models ◽

Strictly Convex

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Constructing optimal maps for Monge’s transport problem as a limit of strictly convex costs

Journal of the American Mathematical Society ◽

10.1090/s0894-0347-01-00376-9 ◽

2001 ◽

Vol 15 (1) ◽

pp. 1-26 ◽

Author(s):

Luis A. Caffarelli ◽

Mikhail Feldman ◽

Robert J. McCann

Keyword(s):

Transport Problem ◽

Strictly Convex ◽

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A Hybrid Control Algorithm for Gradient-Free Optimization using Conjugate Directions

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.1627 ◽

2020 ◽

Vol 53 (2) ◽

pp. 5825-5830

Author(s):

Alessandro Melis ◽

Ricardo G. Sanfelice ◽

Lorenzo Marconi

Keyword(s):

Control Algorithm ◽

Hybrid Control ◽

Conjugate Directions

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Minimal periods for ordinary differential equations in strictly convex Banach spaces and explicit bounds for someLp-spaces

Journal of Differential Equations ◽

10.1016/j.jde.2014.01.019 ◽

2014 ◽

Vol 256 (8) ◽

pp. 2846-2857 ◽

Author(s):

Michaela A.C. Nieuwenhuis ◽

James C. Robinson ◽

Stefan Steinerberger

Keyword(s):

Differential Equations ◽

Ordinary Differential Equations ◽

Banach Spaces ◽

Strictly Convex ◽

Explicit Bounds ◽

Strictly Convex Banach Spaces

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On the lattice points on strictly convex surfaces

Journal of Number Theory ◽

10.1016/0022-314x(76)90008-1 ◽

1976 ◽

Vol 8 (3) ◽

pp. 298-307 ◽

Author(s):

Bohuslav Divis

Keyword(s):

Lattice Points ◽

Convex Surfaces ◽

Strictly Convex

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Inverse-free Dual Neural Networks for Online Solution of Strictly Convex Quadratic Programming

2007 IEEE 22nd International Symposium on Intelligent Control ◽

10.1109/isic.2007.4450925 ◽

2007 ◽

Author(s):

Yunong Zhang ◽

Zhonghua Li ◽

Hong-Zhou Tan

Keyword(s):

Neural Networks ◽

Quadratic Programming ◽

Convex Quadratic Programming ◽

Strictly Convex

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Global convergence of the affine scaling algorithm for primal degenerate strictly convex quadratic programming problems

Annals of Operations Research ◽

10.1007/bf02023112 ◽

1993 ◽

Vol 46-47 (2) ◽

pp. 509-539 ◽

Author(s):

Takashi Tsuchiya

Keyword(s):

Global Convergence ◽

Quadratic Programming ◽

Convex Quadratic Programming ◽

Affine Scaling ◽

Strictly Convex ◽

Affine Scaling Algorithm ◽

Quadratic Programming Problems

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MAZUR–ULAM PROPERTY OF THE SUM OF TWO STRICTLY CONVEX BANACH SPACES

Bulletin of the Australian Mathematical Society ◽

10.1017/s0004972715001215 ◽

2015 ◽

Vol 93 (3) ◽

pp. 473-485 ◽

Author(s):

JIAN-ZE LI

Keyword(s):

Banach Spaces ◽

Equivalent Form ◽

Sufficient Conditions ◽

Necessary And Sufficient Conditions ◽

Extension Problem ◽

Isometric Extension ◽

Strictly Convex ◽

Necessary And Sufficient ◽

Strictly Convex Banach Spaces ◽

Equivalent Conditions

In this article, we study the Mazur–Ulam property of the sum of two strictly convex Banach spaces. We give an equivalent form of the isometric extension problem and two equivalent conditions to decide whether all strictly convex Banach spaces admit the Mazur–Ulam property. We also find necessary and sufficient conditions under which the $\ell ^{1}$-sum and the $\ell ^{\infty }$-sum of two strictly convex Banach spaces admit the Mazur–Ulam property.

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Errors of gradient extrema of a strictly convex function of discrete argument

Discrete Mathematics and Applications ◽

10.1515/dma.1992.2.2.119 ◽

1992 ◽

Vol 2 (2) ◽

Author(s):

V. A. EMELICHEV ◽

M. M. KOVALEV ◽

A. B. RAMAZANOV

Keyword(s):

Convex Function ◽

Strictly Convex ◽

Discrete Argument

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STATIONARY DISCS AND GEOMETRY OF CR MANIFOLDS OF CODIMENSION TWO

International Journal of Mathematics ◽

10.1142/s0129167x01001040 ◽

2001 ◽

Vol 12 (08) ◽

pp. 877-890 ◽

Author(s):

A. SUKHOV ◽

A. TUMANOV

Keyword(s):

Contact Structure ◽

Cr Manifolds ◽

Codimension Two ◽

Strictly Convex ◽

Cr Structure ◽

Conormal Bundle ◽

Convex Hypersurfaces

We give a construction of stationary discs and the indicatrix for manifolds of higher codimension which is a partial analog of L. Lempert's theory of stationary discs for strictly convex hypersurfaces. This leads to new invariants of the CR structure in higher codimension linked with the contact structure of the conormal bundle.

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