Muhamad Fikri
beginner in optimization and math
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Muhamad Fikriさんの最近のアクティビティ-
Muhamad Fikriさんがコメントを作成しました:
Hi Jaromil, Thank you for your insight and suggestion! I managed to get the quadratic form to have the same optimal solution as the direct form by ignoring the Kronecker product. It is hilarious to...
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Muhamad Fikriさんが投稿を作成しました:
Different Optimal Solutions from Equivalent Quadratic and Direct Formulations
回答済みHi all, First of all, I hope I create this post in the correct community section. I’m working on a mixed-integer quadratic program (MIQP) to minimize an objective function representing the squared ...
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Muhamad Fikriさんがコメントを作成しました:
Hi Maliheh, Thanks for your answer. I have some questions, especially regarding your comment. Let me highlight it first. "If you need an integral solution, you must formulate your problem as an i...
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Muhamad Fikriさんが投稿を作成しました:
Iterative Approach change the optimal result
回答済みHi, I hope my post is in the correct community section. I think this post is a continuation of my previous question [Here], where at that post I was wondering about the non-integer optimal solution...
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Muhamad Fikriさんがコメントを作成しました:
Hi Jaromil, Thank you for highlighting the result and reference from stack exchange! Best regards Muhamad
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Muhamad Fikriさんがコメントを作成しました:
Hi Jaromil, When I used one of these three values # cluster_size = np.array([62., 97.50, 95.50, 59.]) # cluster_size = np.array([117.5, 87.50, 119.]) cluster_size = np.array([187., 165....
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Muhamad Fikriさんがコメントを作成しました:
Hi Jaromil, Sure, here is the model that I develop import numpy as npimport gurobipy as gpfrom gurobipy import GRB# Define QP formulationdef qp_calculation(values, clstr_size): sensing_range = n...
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Muhamad Fikriさんがコメントを作成しました:
Hi Jaromil, Thank you for the explanation! Yes, I want to know the possibility of convex quadratic to get integer optimal solutions. In my case, the constraints are linear and hold a property of to...
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Muhamad Fikriさんが投稿を作成しました:
Fractional Solution in Continuous Relaxation of Convex Quadratic Programming
回答済みHi, I applied a convex quadratic function with linear constraints. The decision variable is set to continuous. In Gurobi method, I choose set model.Params.Method = 0 which I believe is primal simpl...
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Muhamad Fikriさんがコメントを作成しました:
Hi,Thank you for the explanation. What I mean is I just want to know, if, in the initial stage, I have 12 continuous and 36 integers (36 binary). Then, the second one the continuous variable still ...