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| Tough CVXPY Topics | How We Excel |
|---|---|
| Semidefinite Programming (SDP) | Our experts are proficient in formulating and solving SDP problems, optimizing linear objectives over positive semidefinite matrices. |
| Second-Order Cone Programming (SOCP) | We have a deep understanding of SOCP, handling conic constraints involving second-order cones effectively. |
| Integer Programming with CVXPY | We combine CVXPY with integer programming, addressing mixed-integer convex optimization challenges, including discrete variables. |
| Non-Convex Problems | While CVXPY is designed for convex optimization, we employ specialized techniques to handle non-convex problems effectively. |
| Robust Optimization | Our team excels in formulating and solving robust optimization problems, accounting for uncertainty within the CVXPY framework. |
| Complex Constraints | We are skilled at handling assignments with intricate constraints, including linear, quadratic, and other types. |
| Advanced CVXPY Extensions | Utilizing advanced CVXPY extensions and libraries like MOSEK and ECOS, we address complex optimization challenges with expertise. |
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