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:, O3 S1 M2 j' w9 U: W% w
function fp = fitpt() 1 u ]% I# v% {4 y6 h3 g/ W$ e % 最小二乘1 Z) W- L' M+ Y
% 基取 {1, x, ...}/ l/ H( G0 X; o1 f' A4 C
% fitpt.m : T1 X( T+ h2 ~, ^0 T d" k0 i% \9 E. z
% 默认算例为课本:P65,例3.28 \9 ~0 d& Q8 g6 L
% x = [0,1,2,3,4,5,6,7]3 { O N6 G% T! A9 h
% y = [3.95,6.82,9.78,12.91,15.74,19.26,21.73,24.07]2 x* Z- j# m6 h1 c I' o5 T
% 结果:P(x) = 4.005 + 2.936x 平方误差=0.61620 I# n2 P0 \8 `% c. j
5 W( n, O$ h6 f' c, a) t % MatLab函数:polyfit(x, y, n) * [& ]7 E$ V6 J( d3 a 6 M) l$ }" X- { 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'); 6 h% h$ Y1 f6 H W8 `& l& o if isempty(s) n1 r) a3 @- I s = '[0,1,2,3,4,5,6,7]';' N4 o9 F( o* x$ R8 O+ P: F: x, M
else 6 u/ Y$ s1 T! c9 k& G0 x5 v. H% Q" T if (s(1) ~= '[')" o7 m% j( C: {5 A% O O
s = strcat('[', s); ' ?$ \' l' H* _ d9 n s = strcat(s, ']'); " }6 \+ K' Q$ y6 |( P end6 e1 f5 K; E; D+ Y# m
end / m7 B/ G l7 B+ M, @3 r3 H" f x = sym(s);2 i( b5 [8 @& G
' z( f/ _, A$ O 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'); : p! K' g& N) o: B2 x if isempty(s), ]* C$ T( T0 }7 D- E7 w, A
s = '[3.95,6.82,9.78,12.91,15.74,19.26,21.73,24.07]';' b! V/ ]" s; i/ M
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if (s(1) ~= '[')6 ^$ ]( H7 H4 R! V' p# J9 G9 v9 Y, H
s = strcat('[', s); 1 u1 ?3 I. ~- L1 v) |0 {) ] s = strcat(s, ']'); 5 _' B4 u$ u# o; t+ C- R5 _' M$ d7 x end7 m$ D4 S. G1 g- B
end- I. E1 [* w i& z# c- g; T) f
y = sym(s); 5 e- x6 f3 t+ I& H, O' F sz = size(x); 3 w& w5 u+ `1 }3 v- f. x+ o sz = sz(2); ) X3 V' x; Q, p3 [. E R! F n = input('输入多项式次数n:'); 4 N& O- u* g% ?- u: B7 I" [8 t if (n + 1 > sz)* O, a- a8 n8 {
n = input('多项式次数需要小于已知点个数,请重新输入n:'); : e, y+ p/ k3 @; V% ~, z L end' F/ z& F: T5 }' }* x
if (n + 1 > sz) 4 ^4 w+ r7 P- i+ U8 k( y" g! ` error('多项式次数不能小于已知点个数!');& a' W6 k! j4 O7 o9 \
end - H8 w, p' T$ {* q9 Y3 R fp = s_fitpt_p(x, y, n); & _! j1 g* w3 m1 ? ! {" O) V. d* _1 M0 m, l6 n5 Q1 J % 绘制原始数据点和拟合曲线$ G! Y/ [$ [& N; ^$ }
plot(double(x), double(y), 'r*')0 f5 _% Y9 E. F7 I5 P( _
hold on - b q- N5 }3 N6 j c1 W. ?* y a = double(x(1));+ T: d" U7 Y+ A; u5 f" X, O$ z
b = double(x(sz)); ' w2 G9 i' d! u/ { x = a:abs(b - 1)/100:b; + r7 I/ v$ H0 }' _6 C y = subs(fp, x);; l& J0 a2 {; ^$ \
plot(x, y). d7 X# r4 K5 o& W+ m
end$ b% F# t5 U1 f2 {
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ' K, R$ {9 @- P, ~! E, X' J0 @3 c8 h) N- M A/ f0 }
function f = s_fitpt_p(x, y, n) - @2 H4 S$ h7 z. T % 用 n 次多项式实现的最小二乘法5 c# d# q9 x" k# A& h, Q
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sz = size(x);% E0 w# M6 s4 ?1 G1 Z. f
sz = sz(2); / N7 r9 E4 v* Q: N5 c, @ A = zeros(sz, n + 1); 4 x2 q9 f" O$ ?9 S$ U4 E v = vh(n); $ Y: V7 z2 C' n6 ?% U* x for i = 1:sz7 g2 a: b) J1 B0 y0 R
A(i, = subs(v, double(x(i))); 9 G5 o7 i1 {( c' P: a N end , y; Y! @( W5 t f = linsolve(A' * A, A' * y');5 j- u+ }6 _) q O
f = vpa(f, 4);& S( d. t9 T% }) k
f = v * f; / W! i$ i+ }6 s( ?7 V: |# m8 aend+ T4 `4 F! k# T& W
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%" e+ B. l+ O4 g& o
' D9 K7 ?. @' |function v = vh(n)6 P. N8 K* X$ w9 h1 u
% Create vector in horizontal style, such as " \$ L; H: M' F! t# z2 q$ x0 i; ]* a
% v = [1, x, x^2, ..., x^n]% w- O( e; W- k
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if (n < 0 || n > 9)6 U0 c: h# U, F9 H: G, H- B& J
error('Make sure ''n'' is in range of [0, 9]') . M( W* I* F1 a% L0 J! U/ H end 8 X' y3 o) I' s3 A7 b s = '';2 N8 l* p4 X6 }* H9 A" i& V4 E
for i = 0:n 7 T u% t+ Z% @, ?5 P s = strcat(s, ',x^');6 ^8 u8 w2 p% g% W
s = strcat(s, num2str(i)); 3 \+ Z8 N3 v% D( _ end % G4 H0 Z. a7 J7 q$ U6 W s(1) = '['; 9 ~8 ]. F2 F, {9 | sz = size(s); # r6 m% I- }8 F0 f2 \5 f s(sz(2) + 1) = ']'; # Q/ A. `# O% s) @+ F# r2 Z( E3 Z+ g; y& k" B! O/ b
v = simplify(sym(s)); # ?3 V' S9 a& d# l" Rend% h' O k3 f3 O* i
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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。) ]! K( h4 I1 I9 m