Need to support vector variables. Many ways to do this -- we should start discussion.<

<div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto

And for constraints... <div class="highlight highlight-source-python notranslate p

vector variables about gpkit HOT 2 CLOSED

convexengineering commented on August 12, 2024

vector variables

from gpkit.

Comments (2)

bqpd commented on August 12, 2024

y = np.matrix(gpkit.monify('y0 y1 y2')).T
x = gpkit.vectify('x', 3)
assert x == np.matrix((gpkit.Monomial('x0'), gpkit.Monomial('x1'), gpkit.Monomial('x2'))).T

In : x.T*x
Out: matrix([[x1^2 + x0^2 + x2^2]], dtype=object)
In : x*x.T
Out: 
matrix([[x0^2, x0*x1, x2*x0],
        [x0*x1, x1^2, x2*x1],
        [x2*x0, x2*x1, x2^2]], dtype=object)
In : x-y
Out: matrix([[x0 + -1*y0, x1 + -1*y1, x2 + -1*y2]], dtype=object)

from gpkit.

bqpd commented on August 12, 2024

And for constraints...

import numpy

@numpy.vectorize
def leq(a,b):
    return a <= b

In : v_leq(x, y)
Out: matrix([[y0^-1*x0, y1^-1*x1, x2*y2^-1]], dtype=object)

from gpkit.

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vector variables about gpkit HOT 2 CLOSED

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