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Cutting Plane Methods

2000
In this chapter, we introduce a class of methods that were among the first to be designed for the solution of integer programming problems. Throughout the past decades, however, computational evidence has revealed that cutting planes, while appealing from a theoretical point of view, do not appear to work very well if applied to general integer ...
H. A. Eiselt, C.-L. Sandblom
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Generalized Cutting Plane Algorithms

SIAM Journal on Control, 1971
This paper introduces a master cutting plane algorithm for nonlinear programming that isolates the points it generates from one another until a solution is achieved. The master algorithm provides a foundation for the study of cutting plane algorithms and directs the way for development of procedures which permit deletion of old cuts.
B. Curtis Eaves, W. I. Zangwill
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Cutting planes and beyond

Computers & Graphics, 1997
We present extensions to the traditional cutting plane that become practical with the availability of virtual reality devices. These extensions take advantage of the intuitive ease of use associated with the cutting metaphor. Using their hands as the cutting tool, users interact directly with the data to generate arbitrarily oriented planar surfaces ...
Michael Clifton, Alex Pang
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Large scale cut plane

Proceedings of the 22nd ACM Conference on Virtual Reality Software and Technology, 2016
Dense 3D reconstructions of real-world environments become wide spread and are foreseen to act as data base to solve real world problems, such as remote inspections. Therefore not only scene viewing is required but also the ability to interact with the environment, such as selection of a user-defined part of the reconstruction for later usage. However,
Annette Mossel, Christian Koessler
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Cutting Plane Methods

2014
Subgradient methods described in the previous chapter use only one arbitrary subgradient (generalized gradient) at a time, without memory of past iterations. If the information from previous iterations is kept, it is possible to define a model—the so-called cutting plane model—of the objective function.
Adil Bagirov   +2 more
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Cutting-Planes for Complementarity Constraints

SIAM Journal on Control and Optimization, 1978
A characterization is given of all the cutting-planes for a generalized linear complementarity problem, in terms of rules whose repeated application yields exactly these valid implied inequalities.This report is a revision of our paper (1976), and our earlier proofs have been substantially simplified.
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Cutting Planes and the Parameter Cutwidth

Theory of Computing Systems, 2009
From the text: The system of Cutting Planes [\dots] provides a method for solving integer linear programs [\dots] by iteratively deriving further constraints until the problem is reduced to a general linear program (for which a polynomial algorithm is known). In terms of feasible solutions, this equates to isolating the integer hull of the solution set
Dantchev, Stefan, Martin, Barnaby
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Solving Quadratic Programming by Cutting Planes

SIAM Journal on Optimization, 2019
Summary: We propose new cutting planes for strengthening the linear relaxations that appear in the solution of nonconvex quadratic problems with linear constraints. By a famous result of Motzkin and Straus, these problems are connected to the clique number of a graph.
Bonami P.   +3 more
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Cutting-plane method based on epigraph approximation with discarding the cutting planes

Automation and Remote Control, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zabotin I., Yarullin R.
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Cutting Plane Proofs

2011
We now turn our attention to a proof system more powerful than resolution—the so-called cutting plane proof system. This proof system, which can be viewed as a “geometric generalization” of resolution, originated in works on integer programming by Gomory (1963) and Chvatal (1973); as a proof system it was first considered in Cook et al.
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