cvxpy.org valuation and analysis

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Title Welcome to CVXPY 1.3 — CVXPY 1.3
Description An open source Python-embedded modeling language for convex optimization problems. Express your problem in a natural way that follows the
Keywords convex optimization, open source, software
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WebSite cvxpy faviconcvxpy.org
Host IP 162.255.119.149
Location United States
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cvxpy.org Valuation
US$15,771,480
Last updated: 2023-05-07 23:34:28

cvxpy.org has Semrush global rank of 671,104. cvxpy.org has an estimated worth of US$ 15,771,480, based on its estimated Ads revenue. cvxpy.org receives approximately 1,819,787 unique visitors each day. Its web server is located in United States, with IP address 162.255.119.149. According to SiteAdvisor, cvxpy.org is safe to visit.

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Purchase/Sale Value US$15,771,480
Daily Ads Revenue US$14,559
Monthly Ads Revenue US$436,749
Yearly Ads Revenue US$5,240,984
Daily Unique Visitors 121,320
Note: All traffic and earnings values are estimates.
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HtmlToTextCheckTime:2023-05-07 23:34:28
Welcome to CVXPY 1.3 ¶ Convex optimization, for everyone. We are building a CVXPY community on Discord . Join the conversation! CVXPY is an open source Python-embedded modeling language for convex optimization problems. It lets you express your problem in a natural way that follows the math, rather than in the restrictive standard form required by solvers. For example, the following code solves a least-squares problem with box constraints: import cvxpy as cp import numpy as np # Problem data. m = 30 n = 20 np . random . seed ( 1 ) A = np . random . randn ( m , n ) b = np . random . randn ( m ) # Construct the problem. x = cp . Variable ( n ) objective = cp . Minimize ( cp . sum_squares ( A @ x - b )) constraints = [ 0 <= x , x <= 1 ] prob = cp . Problem ( objective , constraints ) # The optimal objective value is returned by `prob.solve()`. result = prob . solve () # The optimal value for x is stored in `x.value`. print ( x . value ) # The optimal Lagrange multiplier for a
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cvxpy.org Whois Information
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