disciplined convex programming error 摘要: I.导言 - 介绍 disciplined convex programming error(DCP 错误) - 阐述其在机器学习和优化问题中的重要性 II.DCP 错误的概念 - 定义 DCP 错误 - 解释其与凸优化问题的关系 - 说明 DCP 错误在实际问题中的应用 III.减小 DCP 错误的方法 - 介绍现有减小 DCP 错误的...
@文心快码错误使用 .* (line 173) disciplined convex programming error: cannot perform 文心快码 在CVX工具箱中,错误使用 .* 运算符通常意味着你尝试在一个不允许的操作中使用了它。 在CVX工具箱中,.* 运算符用于元素级乘法,但在某些情况下,CVX可能不允许使用这种操作,因为它可能破坏了凸优化的约束条件。具体...
Disciplined convex programming error: Cannot perform the operation: {convex} .* {convex} 出错* (第 36 行) z = feval( oper, x, y ); 出错Energy_BCD (第 78 行) power_fly(l) = c1pow_pos(norms(V1(:,l),2),3)+(c2inv_pos(z(l)))*(1+pow_pos(norms(A1(:,l),2),2)/pow_po...
Disciplined convex programming error: Invalid constraint: {complex affine} >= {complex affine} Error in >= (line 21) b = newcnstr( evalin( 'caller', 'cvx_problem', '[]' ), x, y, '>=' ); Error in test1 (line 32) b >= SINR_constraint*((c(K+1...
when I run it for different Inputs, I get “Disciplined convex programming error: Illegal operation: log( {convex} )” that is because of the term inside the \log, \sqrt{\alpha}, which is a convex function. How can I reformulated the objective in a way that Disciplined co...
i write a cvx code by using matlab ,and the window show me a error ,but i don't know its meaning and how do i modify my code The window show me as below ThemeCopy Error using cvx/pow_cvx (line 144) Disciplined convex programming error: Illegal o...
cvx_error.m cvx_setup.m cvx_startup.m cvx_version.m solvers.txt Repository files navigation README License CVX: A system for disciplined convex programming Click here to download a bundle of this repository, including pre-compiled MEX files. Important Update This repository is in the ...
Disciplined convex programming ( Dcp ) is a popular framework for systematically reducing convex optimization problems to the low-level conic form commonly used by convex solvers. An arbitrary convex problem may not immediately be in a Dcp -compliant form, and several manual and error-prone steps ...
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% expression A(M,K,N); % expression B(M,K,N); expression q_j_2(1,2); expression q_j_3(1,2); expression q_2(1,2); expression q_3(1,2); expression q_4(1,2); expression A1(M,K,N); expression Rlbkm(1,K,N);