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%Yamaguchi1988
% . 02feb01
\rhl{}
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%Yan1985
% larry
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Monotonicity preserving curve fitting algorithms;
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%Yan1987
% larry, carl
\rhl{Y}
\refJ Yan, Zheng;
Piecewise cubic curve fitting algorithm;
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% monotonicity preserving, cubic spline.

%YanYFairweather1992
% author 23jun03
\rhl{}
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%Yang1991
% shayne 6aug96
\rhl{Y}
\refJ Yang, X.;
Une generalisation a plusieurs variables du theoreme de Muntz-Szasz;
\CRASP, Serie I; 312; 1991; 575--578;
% related to Kergin interpolation

%YangZHHuYJ2004
% carl 06jun04
\rhl{}
\refJ Yang, Zheng-Hong, Hu, Yong-Jian;
Confluent polynomial Vandermonde-like matrices: displacement structures, 
   inversion formulas and fast algorithm;
\LAA; 382; 2004; 61--82;

%Ye1982
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\refJ Ye,  M. D.;
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%Ye1993
% carl
\rhl{Y}
\refJ Ye,  Maodong;
Optimal error bounds for the cubic spline interpolation of lower smooth
functions (I);
\JATA; 9(4); 1993; 46--54;
% uniform knots only; follows HallMeyer76

%YeHuang1983
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\refJ Ye,  M. D., Huang, D. R.;
On the optimal error bounds of a class of
	 interpolatory splines (Chinese);
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%YeshurunWollbergDyn1989
% author
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% carl 24mar99
\rhl{Y}
\refJ Yin, Baocai, Gao, Wen;
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% Groebner basis used to construct a basis for smooth pp's on some
% triangulation

%Yoon2001
% carl 21jan02
\rhl{}
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% DOI 10.1007/s003650010033

%Yoshimoto1977
% larry
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% larry
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% larry
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% larry
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% larry
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%Young1970
% larry
\rhl{Y}
\refJ Young,  J. D.;
Function and first derivative fitting by
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The Logistics  Review; 6(27); 1970;  33--39;

%Young1970b
% larry
\rhl{Y}
\refJ Young,  J. D.;
An optimal cubic spline;
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% larry
\rhl{Y}
\refJ Young,  J. D.;
Smoothing data with tolerances by use of linear programming;
\JIMA; 8; 1971;  69--79;

%Young1971b
\rhl{Y}
\refJ Young,  J. D.;
The space of cubic splines with specified knots;
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% shayne 16mar01
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% carlrefs 20nov03
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% carl
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% larry
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% larry
\rhl{Y}
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Monotone polynomial approximation in $L_p$ space;
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% larry
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% larry
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% carl
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A system for on-line computer aided design of
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%Yuille1970b
% larry
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A system for on-line computer aided design of ships -- prototype
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%Yuzvinsky1991
% carlrefs
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Univ.\ of Oregon; xxx;
% dimension of spline spaces

