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Recall That For A Real Valued Function From R N To R 1 Such As F X Y Or F X Y Z The Derivative Matrix Can Be Treated As A Vector Called The Gradient Ppt
WsD 7$t { Y }Y R $R Zt$PB 8jk 8 t $s9 I b$ Y 8s t ${ 8B8 t E );C f B Y o h ~ W V A A e B X g ̂ ߂̖ o ^ r d n ^ A g s l k \ y 匟 T ` G W ł B A e B X g T C g A l T C g ̓o ^ Ȃlj y ֘A T C g Ȃ N ł o ^ \ ł B ݃ N W IIntuitively, a function is a process that associates each element of a set X, to a single element of a set Y Formally, a function f from a set X to a set Y is defined by a set G of ordered pairs (x, y) such that x ∈ X, y ∈ Y, and every element of X is the first component of exactly one ordered pair in G In other words, for every x in X, there is exactly one element y such that the




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