Disciplined Convex Programming Error Illegal Operation Complex Cvx enforces the conventions dictated by the disciplined convex programming ruleset, or dcp ruleset for short. cvx will issue an error message whenever it encounters a violation of any of the rules, so it is important to understand them before beginning to build models. Since 1 square(x) is convex, sqrt(1 square(x)) violates the dcp rules and cannot be verified as convex. in fact, sqrt(1 square(x)) is a convex function of x, but the dcp rules are not able to verify convexity.
Disciplined Convex Programming Error Illegal Operation Complex If t somehow becomes complex or h ends up complex due to round off, then you could end up comparing values where one is complex, which is a problem because complex values are not ordered. I know the objective is concave so i used maximization and since there are multiplication, i used gp. but i get the error disciplined convex programming error: illegal operation: {real constant} {log concave}. “有纪律的凸编程” (disciplined convex programming，简称dcp)是一个编程范式，它要求凸优化问题按照一定的规则去构造，使得问题可以被cvx识别并用凸优化求解器解决。 这些规则定义了问题的目标函数和约束如何组合，. Disciplined convex programming describe objective and constraints using expressions formed from a set of basic atoms (convex, concave functions) a restricted set of operations or rules.
Disciplined Convex Programming Error Illegal Operation Log Convex “有纪律的凸编程” (disciplined convex programming，简称dcp)是一个编程范式，它要求凸优化问题按照一定的规则去构造，使得问题可以被cvx识别并用凸优化求解器解决。 这些规则定义了问题的目标函数和约束如何组合，. Disciplined convex programming describe objective and constraints using expressions formed from a set of basic atoms (convex, concave functions) a restricted set of operations or rules. Could add logic to return max(x,y) when x, y are numeric (otherwise, an lp is solved to evaluate the max of two numbers!). Disciplined convex programming is a framework for describing convex optimization problems uses a library of functions with curvature, monotonicity tags imposes a ruleset for compositions of functions is su cient but not necessary for certifying convexity. I am trying to do a difference of convex function (dc) programming problem in cvx for a polynomial. the objective function is convex and there is a non convex polynomial inequality. I have an unconstrained optimization in which i need to minimize a sum of convex functions and maximize a concave function together. i combined both the problem by adding a minus sign to the concave function.
Disciplined Convex Programming Error Illegal Operation Log Convex Could add logic to return max(x,y) when x, y are numeric (otherwise, an lp is solved to evaluate the max of two numbers!). Disciplined convex programming is a framework for describing convex optimization problems uses a library of functions with curvature, monotonicity tags imposes a ruleset for compositions of functions is su cient but not necessary for certifying convexity. I am trying to do a difference of convex function (dc) programming problem in cvx for a polynomial. the objective function is convex and there is a non convex polynomial inequality. I have an unconstrained optimization in which i need to minimize a sum of convex functions and maximize a concave function together. i combined both the problem by adding a minus sign to the concave function.
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