fail = 0
return f, g, fail
# =============================================================================
#
# =============================================================================
opt_prob = Optimization('Rosenbrock Unconstraint Problem', objfunc)
opt_prob.addVar('x1', 'c', lower=-10.0, upper=10.0, value=-3.0)
opt_prob.addVar('x2', 'c', lower=-10.0, upper=10.0, value=-4.0)
opt_prob.addObj('f')
print(opt_prob)
# Instantiate Optimizer (PSQP) & Solve Problem
psqp = PSQP()
psqp.setOption('IPRINT', 0)
psqp(opt_prob, sens_type='FD')
print(opt_prob.solution(0))
# Instantiate Optimizer (SLSQP) & Solve Problem
slsqp = SLSQP()
slsqp.setOption('IPRINT', -1)
slsqp(opt_prob, sens_type='FD')
print(opt_prob.solution(1))
# Instantiate Optimizer (CONMIN) & Solve Problem
conmin = CONMIN()
conmin.setOption('IPRINT', 0)
conmin(opt_prob, sens_type='CS')
print(opt_prob.solution(2))
fail = 0
return f,g, fail
# =============================================================================
#
# =============================================================================
opt_prob = Optimization('Rosenbrock Unconstraint Problem',objfunc)
opt_prob.addVar('x1','c',lower=-10.0,upper=10.0,value=-3.0)
opt_prob.addVar('x2','c',lower=-10.0,upper=10.0,value=-4.0)
opt_prob.addObj('f')
print opt_prob
# Instantiate Optimizer (PSQP) & Solve Problem
psqp = PSQP()
psqp.setOption('IPRINT',0)
psqp(opt_prob,sens_type='FD')
print opt_prob.solution(0)
# Instantiate Optimizer (SLSQP) & Solve Problem
slsqp = SLSQP()
slsqp.setOption('IPRINT',-1)
slsqp(opt_prob,sens_type='FD')
print opt_prob.solution(1)
# Instantiate Optimizer (CONMIN) & Solve Problem
conmin = CONMIN()
conmin.setOption('IPRINT',0)
conmin(opt_prob,sens_type='CS')
print opt_prob.solution(2)