Solver cvxopt failed

I want to solve this problem using Python or Matlab. I have checked documentation of CVXOPT, CVXPY, scipy.optimize, but could not find a solver specifically for this.

Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.. Visit Stack ExchangeHelp Center Detailed answers to any questions you might have ... but I failed the solution I made. Then I made an almost completely different attempt to eliminate all errors. ... (e.g. Is this a useful concept in trying to solve the Riemann Hypothesis? Or am I still to naïve? , Why ... discussion closing etiquette.
If you have downloaded a CVX Professional Solver Bundle, then the solvers Gurobi and/or MOSEK will be included with CVX as well. Use of these solvers requires a CVX Professional license. You may also use your existing copies of these solvers with CVX as well. We have created special sections of this users' guide for each solver:Unfortunately there were several cases in the past where DPI devices made the whole system less secure because the failed to properly validate certificates, used a common proxy CA between all devices of a single vendor or similar.

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cvxopt.fftw An optional interface to the discrete transform routines from FFTW (Discrete Transforms). cvxopt.amd Interface to the approximate minimum degree ordering routine from AMD (Matrix Orderings). cvxopt.umfpack Interface to the sparse LU solver from UMFPACK (General Linear Equations).

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Solver cvxopt failed

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I am trying to add in a script and css file for my plugin into the admin header. Is there a function similar to get_bloginfo('url') that I could use to reference the files correctly without having... win7(32bit) anaconda3.5をインストール済みです。 ソルバーを使用するため >conda install cvxopt を実行したところ Solving environment: failed Unsatisfia
CVXOPT -- Python Software for Convex Optimization. Contribute to cvxopt/cvxopt development by creating an account on GitHub. On the other hand, there is no gradient-based solver capable of yielding a guaranteed solution for nonconvex problems. Even some convex NLPs with 2 variables can be constructed where any solver will fail due to machine roundoff errors, e.g. $10^{300}(x-0.1)^2 + 10^{-300}(y-0.2)^2$ with starting guess like $(x,y) = (1,1)$.

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I am trying to add in a script and css file for my plugin into the admin header. Is there a function similar to get_bloginfo('url') that I could use to reference the files correctly without having...

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