法尔卡二维

类型 : 双倍
可修改性 :

并发属性法尔卡二维法克斯普罗夫提供不可行问题证书具体地说法尔卡二维提供向量<span>$</span>\lambda<span>$</span>可用以从原约束中形成以下不等性,而这些原约束微小地无法在变量范围内实现:

<span>$</span>\lambda^tAx \leq \lambda^tb.<span>$</span>

即便原创约束组合比感知差强 span>$ </spanlambda_i\geq0 <span> </span>if<span>$</span>i<span>$</span>-th约束带<span>$</span>\leq<span>$</span>感知和 span>$ </spanlambda_i\leq0 <span> </span>if<span>$</span>i<span>$</span>-th约束带<span>$</span>\geq<span>$</span>感知力

等一等

<span>$</span>\bar{a} := \lambda^tA<span>$</span>

位值不平等

<span>$</span>\bar{b} := \lambda^tb<span>$</span>

右手边带<span>$</span>L_j<span>$</span><span>$</span>U_j<span>$</span>上下界变量<span>$</span>x_j<span>$</span>... span>$ </span++++++++++++++++++++++/spanifspan>$ </span>U_j=ginfty <span>$ </span>span>$ </span++++++++++++++++++++++/spanifspan>$ </span>L_j=-infty <span>$ </span>.

最小违反法尔卡斯约束通过设置实现span>$ </span>xj:=L_j <span>$ </span>Forspan>$ </span+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++span>$ </span>xj:=U_j <span>$ </span>Forspan>$ </span++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.并计算最小违章

span>$:=\br{a_j_span>

去哪儿<span>$</span>\beta>0<span>$</span>.

上头法克斯普罗夫属性提供值<span>$</span>\beta<span>$</span>.

只有当参数可用时,这些属性才可用infunbdfo设为1

示例查询或修改属性指向属性实例.

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