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2. Steepest descent for unconstrained quadratic function minimization The steepest descent method for minimize f(x) is the gr

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2. Steepest descent for unconstrained quadratic function minimization The steepest descent method for minimize f(x) is the gr

Aus: - a) Given a Function is fi1rn IR that differentiable the at xo, direction of Stee epest descent is the vector -of (xo)Continuing this process, we have Caf C) = of Co,-2) = (0,0) Now, $ct) = (6-2) --Co)) Ef Co,-2) & Co+ult(u)+1 2-uti =al It isb) starking From - Covo) minimize f(2, (82) = 2(x2+x2) +262 tl Of C..22) = (31,82 +2) Of (20)= (0,2) He then minimi ze the fudefine doct)= f(xort Ef (x0)) 4,=xo-to of (ko) and Continue the process, by searching From ni in the direction of obtain by M

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