Cho hàm số \(y=f(x)\) liên tục trên R và có bảng b...
Câu hỏi: Cho hàm số \(y=f(x)\) liên tục trên R và có bảng biến thiên dạng![](data:image/png;base64,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)
A. m = - 2M
B. M = 2m
C. M + m = 0
D. M + m = 2
Câu hỏi trên thuộc đề trắc nghiệm
40 câu trắc nghiệm Các dạng toán về hàm ẩn liên quan đến GTLN, GTNN của hàm số