############################
# 最小二乗法(多項式近似)
# coded by Y.Suganuma
############################
############################################
# 線形連立方程式を解く(逆行列を求める)
# w : 方程式の左辺及び右辺
# n : 方程式の数
# m : 方程式の右辺の列の数
# eps : 逆行列の存在を判定する規準
# return : =0 : 正常
# =1 : 逆行列が存在しない
# coded by Y.Suganuma
############################################
def gauss(w, n, m, eps)
nm = n + m;
ind = 0
for i1 in 0 ... n
y1 = 0.0
m1 = i1 + 1
m2 = 0
# ピボット要素の選択
for i2 in i1 ... n
y2 = w[i2][i1].abs()
if y1 < y2
y1 = y2
m2 = i2
end
end
# 逆行列が存在しない
if y1 < eps
ind = 1
break
# 逆行列が存在する
else # 行の入れ替え
for i2 in i1 ... nm
y1 = w[i1][i2]
w[i1][i2] = w[m2][i2]
w[m2][i2] = y1
end
# 掃き出し操作
y1 = 1.0 / w[i1][i1]
for i2 in m1 ... nm
w[i1][i2] *= y1
end
for i2 in 0 ... n
if i2 != i1
for i3 in m1 ... nm
w[i2][i3] -= (w[i2][i1] * w[i1][i3])
end
end
end
end
end
return ind
end
#########################################
# 最小二乗法
# m : 多項式の次数
# n : データの数
# x,y : データ
# return : 多項式の係数(高次から)
# エラーの場合はNULLを返す
# coded by Y.Suganuma
#########################################
def least(m, n, x, y)
m += 1
z = Array.new(m)
w = Array.new(m)
for i1 in 0 ... m
w[i1] = Array.new(m+1)
end
a = Array.new(n)
for i1 in 0 ... n
a[i1] = Array.new(m)
end
for i1 in 0 ... n
a[i1][m-2] = x[i1]
a[i1][m-1] = 1.0
x1 = a[i1][m-2]
x2 = x1
i2 = m - 3
while i2 > -1
x2 *= x1
a[i1][i2] = x2
i2 -= 1
end
end
for i1 in 0 ... m
for i2 in 0 ... m
w[i1][i2] = 0.0
for i3 in 0 ... n
w[i1][i2] += a[i3][i1] * a[i3][i2]
end
end
end
for i1 in 0 ... m
w[i1][m] = 0.0
for i2 in 0 ... n
w[i1][m] += a[i2][i1] * y[i2]
end
end
sw = gauss(w, m, 1, 1.0e-10)
if sw == 0
for i1 in 0 ... m
z[i1] = w[i1][m]
end
else
z = Array.new(0)
end
return z
end
s = gets().split(" ")
m = Integer(s[0]) # 多項式の次数
n = Integer(s[1]) # データの数
x = Array.new(n)
y = Array.new(n)
for i1 in 0 ... n # データ
s = gets().split()
x[i1] = Float(s[0])
y[i1] = Float(s[1])
end
z = least(m, n, x, y)
if z.size > 0
print("結果\n")
for i1 in 0 ... m+1
print(" " + String(m-i1) + " 次の係数 " + String(z[i1]) + "\n")
end
else
print("***error 逆行列を求めることができませんでした\n")
end
=begin
------------データ例1(コメント部分を除いて下さい)--------
1 10 # 多項式の次数とデータの数
0 2.450 # 以下,(x, y)
1 2.615
2 3.276
3 3.294
4 3.778
5 4.009
6 3.920
7 4.267
8 4.805
9 5.656
-------------------------データ例2-------------------------
2 6
10 28.2
15 47.0
20 44.4
26 32.8
32 20.8
40 0.8
=end