Calyx cup-shaped, almost truncate, outside pulverulent pubescent.

花萼杯状，几乎截，外面粉状短柔毛。

Seeds 2 per valve, brown-yellow, semiellipsoid, 2--3 mm, flat on 1 surface, irregularly pitted, truncate at 1 end.

种子2每裂片，棕色黄，半，2-3毫米，平在1面，不规则具洼点，截在1末端。

By using active set strategy, the authors need only to solve a reduced trust region subproblem which is solved inexactly by the truncated conjugate gradient method.

作者利用有效集策略，在每次迭代中只需求解一个低维的信赖域子问题，该信赖域子问题是通过截断共轭梯度法来近似求解的。

Calyx cup-shaped, almost truncate, outside pulverulent pubescent.

花萼杯状，几乎，面粉状短柔毛。

Seeds 2 per valve, brown-yellow, semiellipsoid, 2--3 mm, flat on 1 surface, irregularly pitted, truncate at 1 end.

种子2每裂片，棕色黄，半椭圆，2-3毫米，平在1面，不规则具洼点，在1末端。

By using active set strategy, the authors need only to solve a reduced trust region subproblem which is solved inexactly by the truncated conjugate gradient method.

作者利用有效集策略，在每次迭代中只需求解一个低维的信赖域子问题，该信赖域子问题是通过断共轭梯度法来近似求解的。

Calyx cup-shaped, almost truncate, outside pulverulent pubescent.

花萼杯，几乎截形，外短柔毛。

Seeds 2 per valve, brown-yellow, semiellipsoid, 2--3 mm, flat on 1 surface, irregularly pitted, truncate at 1 end.

种子2每裂片，棕色黄，半椭圆形，2-3毫米，平在1，不规则具洼点，截形在1末端。

By using active set strategy, the authors need only to solve a reduced trust region subproblem which is solved inexactly by the truncated conjugate gradient method.

作者利用有效集策，在每次迭代中只需求解一个低维的信赖域子问题，该信赖域子问题是通过截断共轭梯度法来近似求解的。

Calyx cup-shaped, almost truncate, outside pulverulent pubescent.

花萼杯状，几乎截形，外面粉状短柔毛。

Seeds 2 per valve, brown-yellow, semiellipsoid, 2--3 mm, flat on 1 surface, irregularly pitted, truncate at 1 end.

种子2每裂片，棕色黄，半椭圆形，2-3毫米，平在1面，不规则具洼点，截形在1末端。

By using active set strategy, the authors need only to solve a reduced trust region subproblem which is solved inexactly by the truncated conjugate gradient method.

作者利用有效集策略，在每次迭代中只需求解一个低维的信赖域子问题，该信赖域子问题截断共轭梯度法来近似求解的。

Calyx cup-shaped, almost truncate, outside pulverulent pubescent.

花萼杯状，几乎，外面粉状短柔毛。

Seeds 2 per valve, brown-yellow, semiellipsoid, 2--3 mm, flat on 1 surface, irregularly pitted, truncate at 1 end.

种子2每裂片，棕色黄，半椭圆，2-3毫米，平在1面，不规则具洼，在1末端。

By using active set strategy, the authors need only to solve a reduced trust region subproblem which is solved inexactly by the truncated conjugate gradient method.

作者利用有效集策略，在每次迭代中只需求解一个低维的信赖域子问题，该信赖域子问题是通过断共轭梯度法来近似求解的。

Calyx cup-shaped, almost truncate, outside pulverulent pubescent.

花萼杯，几乎截形，外面粉毛。

Seeds 2 per valve, brown-yellow, semiellipsoid, 2--3 mm, flat on 1 surface, irregularly pitted, truncate at 1 end.

种子2每裂片，棕色黄，半椭圆形，2-3毫米，平在1面，不规则具洼点，截形在1末端。

By using active set strategy, the authors need only to solve a reduced trust region subproblem which is solved inexactly by the truncated conjugate gradient method.

作者利用有效集策，在每次迭代中只需求解一个低维的信赖域子问题，该信赖域子问题是通过截断共轭梯度法来近似求解的。

Calyx cup-shaped, almost truncate, outside pulverulent pubescent.

花萼杯状，几乎截，外面粉状短柔毛。

Seeds 2 per valve, brown-yellow, semiellipsoid, 2--3 mm, flat on 1 surface, irregularly pitted, truncate at 1 end.

种子2每裂片，棕色黄，半椭圆，2-3，平在1面，不规则具洼点，截在1末端。

By using active set strategy, the authors need only to solve a reduced trust region subproblem which is solved inexactly by the truncated conjugate gradient method.

作者利用有效集策略，在每次迭代中只需求解一个低维的信赖域子问题，该信赖域子问题是通过截断共轭梯度法来近似求解的。

Calyx cup-shaped, almost truncate, outside pulverulent pubescent.

花萼杯状，几乎截形，外面粉状短柔毛。

Seeds 2 per valve, brown-yellow, semiellipsoid, 2--3 mm, flat on 1 surface, irregularly pitted, truncate at 1 end.

种子2每裂片，棕色黄，半椭圆形，2-3毫米，平在1面，具洼点，截形在1末端。

By using active set strategy, the authors need only to solve a reduced trust region subproblem which is solved inexactly by the truncated conjugate gradient method.

作者利用有效集策略，在每次迭代中只需求解一个低维的信赖域子问题，该信赖域子问题是通过截断共轭梯度法来近似求解的。

Calyx cup-shaped, almost truncate, outside pulverulent pubescent.

花萼杯状，形，外面粉状短柔毛。

Seeds 2 per valve, brown-yellow, semiellipsoid, 2--3 mm, flat on 1 surface, irregularly pitted, truncate at 1 end.

种子2每裂片，棕色黄，半椭圆形，2-3毫米，平在1面，不规则具洼点，形在1末端。

By using active set strategy, the authors need only to solve a reduced trust region subproblem which is solved inexactly by the truncated conjugate gradient method.

作者利用有效集策略，在每次迭代中只需求解一个低维的信赖域子问题，该信赖域子问题是通过断共轭梯度法来近似求解的。