newphysist Messages 12 Reaction score 0 Thread starter Dec 5, 2012 #1 Hi, I am reading Convex Optimization from Stephen Boyd's book on my own and I am stuck at math he mentions on Pg. 157 of his book which can be found here. How does he write the following: sup{uTP[itex]^{T}_{i}[/itex]x | ||u||2 ≤ 1} = ||P[itex]^{T}_{i}[/itex]x||2 Thanks guys
Hi, I am reading Convex Optimization from Stephen Boyd's book on my own and I am stuck at math he mentions on Pg. 157 of his book which can be found here. How does he write the following: sup{uTP[itex]^{T}_{i}[/itex]x | ||u||2 ≤ 1} = ||P[itex]^{T}_{i}[/itex]x||2 Thanks guys
jasonRF Science Advisor Messages 1,534 Reaction score 606 Dec 5, 2012 #2 I didn't attempt to find this in the book, but to me this looks like a direct result of the Cauchy-Schwarz inequality. http://en.wikipedia.org/wiki/Cauchy–Schwarz_inequality jason
I didn't attempt to find this in the book, but to me this looks like a direct result of the Cauchy-Schwarz inequality. http://en.wikipedia.org/wiki/Cauchy–Schwarz_inequality jason