Surya Narayanan Hari
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Activity overview
Latest activity by Surya Narayanan Hari-
Surya Narayanan Hari created a post,
@ operator for 2 Mvars
AnsweredIs it possible to do the following with broadcasting in a constraint? (A and B are 2D MVars) $$ A @ B \leq \overrightarrow{1} $$
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Surya Narayanan Hari created a post,
Division between float and grb variable
AnsweredI 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...
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Surya Narayanan Hari commented,
Hi, it did. Thank you for helping.
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Surya Narayanan Hari commented,
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...
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Surya Narayanan Hari created a post,
TypeError: only size-1 arrays can be converted to Python scalars
AnsweredI 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...
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Surya Narayanan Hari commented,
I tried doing 1 / p_inv[i] but division is not supported between an int and an MVar. I am using version 9.0.2. Can you suggest if it is not supported for MVars yet?
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Surya Narayanan Hari created a post,
Modeling quadratic constraints in different variables
AnsweredI 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?
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Surya Narayanan Hari created a post,
Non-Dcp-constraint
AnsweredIs 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.
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Surya Narayanan Hari created a post,
Adding MVars in indicator function
AnsweredHi, 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...