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A Sharp Quantitative Alexandrov Inequality and Applications to Volume Preserving Geometric Flows in 3D. [PDF]

Arch Ration Mech Anal
Julin V, Morini M, Oronzio F, Spadaro E.
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Student Errors in Solving System of Linear Inequalities Story Questions Based on Newman’s Error Analysis (NEA)

Astrino Purmanna, Sigit Raharjo
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Operator inequalities and trace inequalities derived from Tsallis entropies(Recent Developments in Linear Operator Theory and its Applications)

, 2005
Shigeru Furuichi, Kenjiro Yanagi, Ken Kuriyama   +2 more
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Inequalities in access and experience of primary care following ‘top-up’ payments to practices: a retrospective observational study

Whitfield E, Tracey F, Opie-Martin S, Beech J, Pettigrew LM, Clarke JM, Lloyd T.   +6 more
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On Linear Inequalities

2013
Linear inequalities were studied with some degree of generality at least as early as the time of Fourier (1824). However the first significant contribution to their theory was made by Minkowski in his Geometrie der Zalzlen in 1896. Since that time many papers have appeared in Europe, America, and Japan which have to do more or less directly with the ...
Dines, L. L., McCoy, N. H.
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Linear Differential Inequalities

SIAM Journal on Mathematical Analysis, 1978
A notion of generalized zero with respect to a linear differential operator $L_n $ for a function f at a singular point of the operator was introduced by Levin and further considered by Willett. This involved a comparison of f with certain solutions of $L_n y = 0$ near the singular point. It is shown that the role of these solutions may be fulfilled by
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Solution of Linear Inequalities

IEEE Transactions on Computers, 1970
A method for solving systems of linear inequalities, consistent and inconsistent, corresponding to the separable and nonseparable cases in pattern recognition is presented. Attempts are made to evaluate the speed and efficiency of the algorithm.
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Linear Inequality Scaling Problems

SIAM Journal on Optimization, 1992
The author shows that the linear inequality scaling problems (LISP) is a generalization of the linear equality scaling problem and that it unifies a number of matrix-scaling problems that have been studied recently. Further, it is shown that LISP can be reduced to one of two convex optimization problems and these reductions are used to characterize ...
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