本文整理汇总了Python中qpoases.PyOptions.enableRegularisation方法的典型用法代码示例。如果您正苦于以下问题：Python PyOptions.enableRegularisation方法的具体用法？Python PyOptions.enableRegularisation怎么用？Python PyOptions.enableRegularisation使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类qpoases.PyOptions的用法示例。
在下文中一共展示了PyOptions.enableRegularisation方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: solveLeastSquare
# 需要导入模块: from qpoases import PyOptions [as 别名]
# 或者: from qpoases.PyOptions import enableRegularisation [as 别名]
def solveLeastSquare(A, b, lb=None, ub=None, A_in=None, lb_in=None, ub_in=None):
n = A.shape[1];
m_in = 0;
if(A_in!=None):
m_in = A_in.shape[0];
if(lb_in==None):
lb_in = np.array(m_in*[-1e99]);
if(ub_in==None):
ub_in = np.array(m_in*[1e99]);
if(lb==None):
lb = np.array(n*[-1e99]);
if(ub==None):
ub = np.array(n*[1e99]);
Hess = np.dot(A.transpose(),A);
grad = -np.dot(A.transpose(),b);
maxActiveSetIter = np.array([100+2*m_in+2*n]);
maxComputationTime = np.array([600.0]);
options = Options();
options.printLevel = PrintLevel.LOW; #NONE, LOW, MEDIUM
options.enableRegularisation = True;
print 'Gonna solve QP...';
if(m_in==0):
qpOasesSolver = QProblemB(n); #, HessianType.SEMIDEF);
qpOasesSolver.setOptions(options);
imode = qpOasesSolver.init(Hess, grad, lb, ub, maxActiveSetIter, maxComputationTime);
else:
qpOasesSolver = SQProblem(n, m_in); #, HessianType.SEMIDEF);
qpOasesSolver.setOptions(options);
imode = qpOasesSolver.init(Hess, grad, A_in, lb, ub, lb_in, ub_in, maxActiveSetIter, maxComputationTime);
# print 'QP solved in %f seconds and %d iterations' % (maxComputationTime[0],maxActiveSetIter[0]);
if(imode!=0 and imode!=63):
print "ERROR Qp oases %d " % (imode);
x_norm = np.zeros(n); # solution of the normalized problem
qpOasesSolver.getPrimalSolution(x_norm);
return x_norm;