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1、机械优化设计程序考核题1、一维搜索方法程序考核题min f C)= 12 一 10t + 36最优解：t* 二5.0,f (*)二 11.0to = fo =112、无约束优化方法程序考核题min f (x)= 4(x -5)2 + (x - 6)21245初始点：x0 二8,9t ,最优解：x* 二5,6t , f (x* )= 0运行结果：Warning: Gradient must be provided for trust-region method;using line-search method instead. In fminunc at 241Optimization term
2、inated: relative infinity-norm of gradient less than .Computing finite-difference Hessian using user-supplied objective function.x =fval =exitflag =1output =iterations: 7funcCount: 24stepsize: 1firstorderopt:algorithm: medium-scale: Quasi-Newton line searchmessage: Optimization terminated: relative
3、infinity-norm of gradient less than .grad =hessian =03、约束优化方法的程序考核题minf (x)= (x - 2+ (x -112(x)二 x21 (x )= x1-x+ x21初始点：22x0最优解：x*运行结果：Warning: Large-scale (trust region) method does not currently solve this type of problem,switching to medium-scale (line search). In fmincon at 260c =6c =c =c =Optim
4、ization terminated: first-order optimality measure less than and maximum constraint violation is less than .Active inequalities (to within = 1e-006):lower upper ineqlin ineqnonlin1 1fval =exitflag =1 output =iterations: 2funcCount: 11stepsize: 1line-searchalgorithm: medium-scale: SQP, Quasi-Newton, firstorderopt:cgiterations: message: 1x143 char lambda =lower: 2x1 doubleupper: 2x1 doubleeqlin: 0x1 doubleeqnonlin: 0x1 double ineqlin: ineqnonlin:grad =hessian =
机械优化设计课后程序考核题
