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:8 U& ]* ?. t7 \3 E& Z H1 m
function fp = fitpt() 6 k, d$ I ^* I( }6 `3 X % 最小二乘 , t- |8 _; O S7 ` % 基取 {1, x, ...}* I! K: p$ J; @7 ?, Q" j' `9 Y8 E
% fitpt.m: _+ Q: r$ k! M' n8 I: T$ C* w
% _8 M n3 Z6 z( F) Z% O/ N% X0 d5 ]
% 默认算例为课本:P65,例3.2, F& V7 R8 ]3 w- ^' d# T
% x = [0,1,2,3,4,5,6,7]8 \) t9 M. t- H- m$ c
% y = [3.95,6.82,9.78,12.91,15.74,19.26,21.73,24.07]) }5 N( f Z1 ^' ?3 u+ g+ N
% 结果:P(x) = 4.005 + 2.936x 平方误差=0.6162 9 N& K# k1 C- y' @9 N" ~+ i; @$ s5 ^. W4 ?' y9 `- X/ v
% MatLab函数:polyfit(x, y, n) % W0 e2 O5 I. S; ~( R. i" L3 V1 ]3 F8 L! [
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'); & k2 s! ^, ^* x+ c1 q- h. h if isempty(s)- L) w4 T7 O* X/ w" R a
s = '[0,1,2,3,4,5,6,7]'; 6 ` Z* o Y2 y9 a I' Q! [! Z else - D( c9 @- k: A- |+ M if (s(1) ~= '[') ) A; J3 ^5 ~9 L2 r% q s = strcat('[', s); * t" K I, q9 g( C) H9 u s = strcat(s, ']');' Z1 G3 e3 ?9 B1 q+ |1 s& A
end 4 \# S- t4 `& c end0 K, C" [7 Q Q# a
x = sym(s);" O5 \) f, V; a. ?$ J; W
- V7 K/ c/ ]6 B$ b 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'); . f6 Z2 @- K, v: B# ~ if isempty(s) - F! Z$ W- d2 @4 L s = '[3.95,6.82,9.78,12.91,15.74,19.26,21.73,24.07]'; 6 Y0 n8 R+ V' Y9 A! h else$ ~/ M! B; ^* U- R- [ v; c
if (s(1) ~= '[')) E# h: b; u. N5 X
s = strcat('[', s); ) _0 w* O: N/ z- r s = strcat(s, ']'); / a" m' x4 G* x; Q& W, a end6 d) [# a2 q5 A
end7 g1 m# h, n6 F9 \3 v0 q W
y = sym(s);# l3 [9 q3 l' P- K* N
sz = size(x);* B, h# Y$ {* \6 e0 W: G
sz = sz(2); 5 {% I' t# t: f& B4 ` n = input('输入多项式次数n:'); * a. b$ Q4 A+ X; B3 R' |8 ?2 @" }% P& t8 R if (n + 1 > sz) 0 g0 A7 G( l! W6 z: U5 \ n = input('多项式次数需要小于已知点个数,请重新输入n:');- \3 G/ G: b$ L
end . H h C& }4 n n if (n + 1 > sz)7 Z3 o) }% o: Z& X6 |6 @7 W- d: C
error('多项式次数不能小于已知点个数!'); 5 n# k# g4 z/ b; f; o end! [- w! g" W3 f4 x+ w9 f
fp = s_fitpt_p(x, y, n); 6 q+ I8 {, |* z) t# d( L/ U. e3 D/ d) [0 W: _3 b
% 绘制原始数据点和拟合曲线 0 R2 u2 M4 V- s9 a4 {8 }6 \ \ plot(double(x), double(y), 'r*') " M$ V& n! C9 l5 W hold on! H+ A ?! ~' D G/ C
a = double(x(1));& p! S# I, t- O) M/ [
b = double(x(sz));) v# `6 s. o9 U) u y+ k
x = a:abs(b - 1)/100:b;' R5 V* p' |9 }- _! a" q
y = subs(fp, x); I* W. w/ }" x5 k8 h5 F* I& N! u plot(x, y)5 Q7 l/ z. B* q) G z) u
end * @. F* _3 z/ c# i- I9 _% |: B# x. h `) d" e0 {" E7 |* r* s7 ?
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%$ o0 ~ Y! z3 |& s3 ~' T
, C" ?9 g! z7 n8 T5 @" U& Dfunction f = s_fitpt_p(x, y, n) - p0 n/ T: b& y: D % 用 n 次多项式实现的最小二乘法 : B% n( A$ A2 z 1 k, s& k0 u0 G5 l& T9 U sz = size(x); $ w% u0 h. O4 u: N" R" H; W sz = sz(2); + Z# i( H" Z/ G- j, o# J A = zeros(sz, n + 1);. e& P; ~/ W7 I' f, l# r8 e
v = vh(n);8 C W+ Y( G' e7 d5 r3 ], x
for i = 1:sz 8 d$ R2 R# C, G7 s2 K4 e9 ?& q: m A(i, = subs(v, double(x(i)));3 Y1 i, _; h& ?6 Y' j+ u
end 1 Z( K1 M% }3 Q% Z0 I. v f = linsolve(A' * A, A' * y'); / I c3 V( k: ?+ K% l f = vpa(f, 4);: b$ o' z3 X3 n2 \
f = v * f; b& h! t4 T1 |" l' W
end1 K! y, c' b& I4 b# ?- P
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 2 p0 L6 B) S" z T) A . d8 y) ^8 {! z+ ffunction v = vh(n) 4 N7 y/ H7 r4 a9 z/ c % Create vector in horizontal style, such as + p9 L' `4 A/ O$ t( A5 @: G! h5 Z
% v = [1, x, x^2, ..., x^n]: C& M2 t/ L+ f/ Q; H8 ^& W5 K
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if (n < 0 || n > 9)9 A3 ~- u: b3 a3 Z" I
error('Make sure ''n'' is in range of [0, 9]')/ U3 ~4 r9 q$ Q: I# z
end0 }3 {4 T# v: ]6 W, e
s = ''; 1 K4 A$ n1 w. ^5 g% d+ o for i = 0:n, d. ~5 Z [* M, @; h0 V4 U; V
s = strcat(s, ',x^'); 1 k% W4 b( I- P s = strcat(s, num2str(i));8 v' m1 U) c) y1 |
end 8 y+ C' N3 Q& S) Z' h* ]. ]6 z/ F s(1) = '[';$ P. K6 S( B, |
sz = size(s); 9 n+ W$ T9 }+ ]3 ?. E } s(sz(2) + 1) = ']';) }1 C) i" r) x9 l
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v = simplify(sym(s)); * `8 K% v3 s- w9 @' ]- qend' u& y% q- c3 C' Q! w+ c" W0 U
+ q# g8 m( U# @# a8 J0 v) s4 G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。 p4 [, j, G' t5 h3 ?2 m # P: d, M# H) S( X9 T' \/ g. V4 S- U, y9 I# G6 |7 i0 x