V priya
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V priyaさんの最近のアクティビティ-
V priyaさんがコメントを作成しました:
Hi, Thank you very much for the references. One more question: When I vary the fixed parameters, some instances with MIPFocus=3 gives Root relaxation: numerical trouble, 0 iterations, 0.00 second...
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V priyaさんが投稿を作成しました:
Lower bound of non-convex problem not improving
回答済みThe following is my code: z = sdpvar(1);f_a1 = sdpvar(n,1);f_a2 = sdpvar(n,1);for i = 1:n % Spans for all states beta_c{i} = sdpvar(size(b{i},1),1); beta_d{i} = sdpvar(size(b{i},1),1); mu...
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V priyaさんがコメントを作成しました:
Thank you for the response.I uncommented the following also : mdl.addConstrs( U_a1[i,j] >= U_lower_bar_a1[i,j] for i in range(0,n) for j in range(0,n)) But I am getting an infeasible model. Could...
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V priyaさんが投稿を作成しました:
Infeasibility due to modelling the constraints
回答済みimport numpy as npimport cvxpy as cpimport gurobipy as gpfrom gurobipy import GRB n = 5 U_lower_bar_a1 = np.zeros((n, n)) U_upper_bar_a1 = np.zeros((n, n)) s = 0.03 U_lower_bar_a1[0][0] = -...
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V priyaさんが投稿を作成しました:
Semidefinite programming
ユーザーの入力を待っています。I have an SDP problem (essentially it is an LP problem with two semidefinite matrices). Since Gurobi cannot solve it, please suggest an effective way to solve it. I saw the link SDP plugin of the ...
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V priyaさんがコメントを作成しました:
Hi Thank you for the reply. I follow your help and see that: print( rho[0:n].shape) as (3,) : means there are 3 columns (this is expected)andprint( np.tile(rho[0:n],n).shape) as (3,) : this is s...
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V priyaさんがコメントを作成しました:
Regarding the first point, isn't it better to vectorize a constraint than use a for loop in terms of time ?
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V priyaさんが投稿を作成しました:
Doubt in LP Constraints
回答済みI have the following code: import numpy as npimport gurobipy as gpfrom gurobipy import GRBn = 3 m = 2 alpha = 0.9 gamma = [0] * ngamma[0] = 1gamma = np.array(gamma)Id = np.identity(n)P_a1 = n...