这是一个 MATLAB 脚本,用于进行最小二乘法拟合。脚本首先要求用户输入已知点的 x 和 y 坐标,然后输入拟合的多项式次数 n。脚本使用最小二乘法拟合数据,并绘制了原始数据点和拟合曲线的图表。以下是对代码的主要部分的解释:2 J( h: D: Y2 M& r
function fp = fitpt()5 u9 f+ u2 ?: U" m5 I: m
% 最小二乘1 }# Y% @/ U2 }8 Q
% 基取 {1, x, ...}" \; F4 {, C ^; H% K
% fitpt.m$ k6 E0 q4 o. ]! U, _+ Q* \
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% 默认算例为课本:P65,例3.2- H. l- W3 b" T N9 g
% x = [0,1,2,3,4,5,6,7]6 G: o" |8 y6 w
% y = [3.95,6.82,9.78,12.91,15.74,19.26,21.73,24.07] 1 U( T2 H ]6 U/ t. u" q % 结果:P(x) = 4.005 + 2.936x 平方误差=0.6162 6 D( }# T) a5 Q( u7 N, ^( r) Q. m1 [
% MatLab函数:polyfit(x, y, n) $ L1 j2 e1 i4 @: H5 a0 {2 ^9 Z# P* g1 s! o* s; W
s = input('<最小二乘>\n输入已知点的x坐标:(回车表示[0,1,2,3,4,5,6,7])\n', 's'); & M7 N& _- t. L6 R! f; B( P if isempty(s) 5 y8 ~8 s1 c3 t) c. Q& ~6 g# c s = '[0,1,2,3,4,5,6,7]';3 Z% o! d' H6 ` S& V! S" _. ]& U
else" b+ D8 U, n1 d# V
if (s(1) ~= '[') % f" H* i9 Z$ Z s = strcat('[', s); - w' u2 K" R& X0 F9 Q b' V s = strcat(s, ']');% k/ \% s; Z b( N% J3 Z( _, h
end4 [2 C& j% u1 m
end - z% x% e. g) | b x = sym(s);; F1 x' P$ s5 e+ \( t- R
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s = input('输入已知点的y坐标:(回车表示[3.95,6.82,9.78,12.91,15.74,19.26,21.73,24.07])\n', 's');3 u9 l M+ z, R) i ^" j
if isempty(s)+ j3 h4 |6 [+ D' ~ G+ a
s = '[3.95,6.82,9.78,12.91,15.74,19.26,21.73,24.07]';" e! p! u2 M2 i
else ; y1 |1 |1 J" f ^: x4 B if (s(1) ~= '[') + W, e1 j! l# b% X. H4 ]# W0 l s = strcat('[', s); " M# H. L8 a, i# L7 b; j s = strcat(s, ']'); 0 p7 R0 m' C* T! i1 ]% p9 l3 G end2 j8 I' M! [' e% y O" C/ W3 R/ P
end7 t# E9 t& I8 l& n0 Y
y = sym(s);; n% ]! F ~! P0 k2 n' y$ s
sz = size(x); ( i. c5 N) u7 S6 c6 l/ N: Y2 \2 w sz = sz(2); ; _8 B* r0 A" C. l$ c n = input('输入多项式次数n:'); " h; Z4 R& g6 y2 L& ?3 q if (n + 1 > sz)5 T% W' G/ t ^; ~
n = input('多项式次数需要小于已知点个数,请重新输入n:');5 g6 u, z. J3 v2 V7 x: Q
end ( n8 t8 T1 {3 m) W* H9 j. K. V if (n + 1 > sz) - j+ F, o x W; c) p( m error('多项式次数不能小于已知点个数!');4 a( u* M5 M( O1 D. u) A( d
end 7 w- C1 x# \, @& J* I$ O fp = s_fitpt_p(x, y, n);# Y; ^) J h$ c. Z- e( g7 B) Z
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% 绘制原始数据点和拟合曲线 6 Q3 s% S1 ^ Q, u, w- ?7 ?2 Y plot(double(x), double(y), 'r*') 4 n2 w: x1 V# ^ hold on . P2 g- s4 m* D: q a = double(x(1)); 1 B& h8 U! t! U& R" i b = double(x(sz));+ j) Z; O* R# H* m* `7 R( }; m
x = a:abs(b - 1)/100:b;/ V9 E5 j B3 u. W; q9 j/ N% C
y = subs(fp, x); 2 d7 G' C. j3 V( L' V plot(x, y) 6 m2 J# i! s# u! T0 o; {7 }end( v# v/ |8 B, S
9 u: v- c; `7 m/ ~%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%6 j( b) r3 w/ i5 `( J2 `) [" }4 D8 K
4 U7 P/ p4 }6 a) [, s- R5 f z+ dfunction f = s_fitpt_p(x, y, n)" |& f7 T) K" W! d% i v% O( i
% 用 n 次多项式实现的最小二乘法 6 S1 X: _, m* y5 m2 x7 i; Z C' V' K& \' V2 F2 E$ M, i
sz = size(x); / O6 e r' b' T( J0 }; d' E sz = sz(2);. `) {: S& w$ i: [1 G
A = zeros(sz, n + 1); ) R: h) v0 X8 P" | v = vh(n); 2 t* h& y2 T' z3 B- w for i = 1:sz ) w; u7 d; e% O% Z8 f( r: W A(i, = subs(v, double(x(i)));# W/ d3 w7 [; J D' a
end, a" \6 O: o1 h! S3 }% _7 T& @
f = linsolve(A' * A, A' * y'); . I& x+ ?& ?# {% p8 ~. X8 c f = vpa(f, 4); 6 W d/ h4 q) P0 M* w f = v * f;. D/ {: Q) p1 C
end! B- ]. Q5 C: | ^) N- Z5 M- D
& {% x( G! W- }& K' j6 K& y%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%2 W( V$ X% q' l% j/ e7 ?2 m
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function v = vh(n) & g" E7 ^3 g; F" I1 E+ {% W % Create vector in horizontal style, such as . T# \( O( \2 v- M' B5 G* U % v = [1, x, x^2, ..., x^n] 2 i$ j n4 z8 }/ k) p' Y ( G. b# C2 ]8 V5 ~' l* F if (n < 0 || n > 9) ( R9 C! ^8 z- [* U# |& K error('Make sure ''n'' is in range of [0, 9]') 4 s- c5 }: w( {1 u& {/ j end ! |3 d$ _9 `+ c s = '';% m! u8 L, S+ m( n7 a
for i = 0:n# \( \4 K+ P& C5 `, c) G- A
s = strcat(s, ',x^');0 Y4 C" P2 S( ?3 x
s = strcat(s, num2str(i));" I& h) s. E! u* s
end # J$ z0 {/ B8 m3 Y% N0 H7 ^: C s(1) = '[';! R8 z5 P+ y. @4 \
sz = size(s); 8 G. ^7 \* C+ c. L* T k s(sz(2) + 1) = ']';) f) H' ^1 L& v; L
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v = simplify(sym(s));4 o! T' g v; V
end ! G. Q7 Y5 A8 P# E/ C" A ; c) O( N3 ?# B: S! i1 O) [; J这个脚本首先获取用户输入的已知点的 x 和 y 坐标,然后使用最小二乘法进行拟合。最后,脚本绘制了原始数据点和拟合曲线的图表。9 a ]: S6 V& |" Q: o9 o
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