Surya Narayanan Hari

  • Gurobi-versary
  • Curious
  • First Comment
  • 合計アクティビティ 23
  • 前回のアクティビティ
  • メンバー登録日
  • フォロー 0ユーザー
  • フォロワー 0ユーザー
  • 投票 9
  • サブスクリプション 6

アクティビティの概要

Surya Narayanan Hariさんの最近のアクティビティ
  • Surya Narayanan Hariさんが投稿を作成しました:

    @ operator for 2 Mvars

    回答済み

    Is it possible to do the following with broadcasting in a constraint? (A and B are 2D MVars) $$ A @ B \leq \overrightarrow{1} $$  

  • Surya Narayanan Hariさんが投稿を作成しました:

    Division between float and grb variable

    回答済み

    I am trying to add a constraint on the inverse of the variable of the form  $$1/x[i, j]  + a^Ty + b \leq c$$ but I get the message that div does not support float and MVar. Is this currently suppor...

  • Surya Narayanan Hariさんがコメントを作成しました:

    Hi, it did. Thank you for helping. 

  • Surya Narayanan Hariさんがコメントを作成しました:

    Sure,    x = 4 y = 3 gurobi_model = gp.Model("price_mechanism") p = gurobi_model.addMVar((y, 1), name='p') m = gurobi_model.addMVar((x, y), name='m') u = np.array([[100, 1, 0], [0, 1, 100], [0...

  • Surya Narayanan Hariさんが投稿を作成しました:

    TypeError: only size-1 arrays can be converted to Python scalars

    回答済み

    I am trying to index into a Vector p, which is an MVar to perform the following operation.  p[j] * u[i] @ m[i] Note u is a scalar matrix, and m is a matrix of variables.  However, I get the error m...

  • Surya Narayanan Hariさんが投稿を作成しました:

    Modeling quadratic constraints in different variables

    回答済み

    I saw on the website that one can write quadratic constraints of the form x*x + y*y <= c, but Is it possible to write a constraint of the form x^T y <= c where x and y are vectors?

  • Surya Narayanan Hariさんが投稿を作成しました:

    Non-Dcp-constraint

    回答済み

    Is it possible to have a non-DCP constraint such as min(1/x, 1) + ax + b <= 0? Sorry if this has been asked before - I would be happy to take a look at any pointers. 

  • Surya Narayanan Hariさんが投稿を作成しました:

    Adding MVars in indicator function

    回答済み

    Hi,  I would like to write the following formula, where permutations is a known matrix and assignments and unfair_assignments are variables for i in range(n): for j in range(m): for k in range...