0
我試圖用牛頓的方法來近似函數的梯度= 但我猜測錯誤信息,當我試圖對牛頓迭代進行猜測時,我不知道問題是什麼。無效的輸入:第二個參數丟失
(僅供參考,利潤= 144TVa - 0.07TVb TVB - 0.01 TVA^2 + 174TVb -0.01TVb^2 - 4E5)
with(LinearAlgebra):
with(VectorCalculus):
DProfit := Gradient(Profit, [TVa, TVb])
F := unapply(DProfit, TVa, TVb)
J := Jacobian(DProfit)
Guess := V->evalf(V-Multiply(Jinv,F(V))):
但是當我嘗試在任何點來評估猜測,它給我一個錯誤:
Guess(3000,3000)
Error, (in Guess) invalid input: F uses a 2nd argument, TVb, which is missing
Guess(<3000,3000>
Error, (in Guess) invalid input: F uses a 2nd argument, TVb, which is missing
即使F(3000,3000)返回[-66,-36]
感謝您的幫助。