Convex optimization with equality constraint

In convex optimization, the feasible region is convex if equality constraints h(x) are linear or affine, and inequality constraints g(x)≤0 are convex.

What is a convex optimization problem?

Having said all this: in practice, we define a convex optimization problem asone having only affine equality constraint functions and convex inequality constraint functions

Doing so is necessary both to assist in analysis/proofmaking and building computational methods

Convex optimization with constraints
Convex optimization with python
Convex optimization with inequality constraints
Convex optimization with matlab
Convex optimization warwick
Convex optimization with computational errors
Convex optimization with gradient descent
Convex optimisation wikipedia
Online convex optimization with stochastic constraints
Stochastic convex optimization with bandit feedback
Online convex optimization with time-varying constraints
Linear convex optimization
Optimisation convexe
Convex optimization theory pdf
Bubeck convex optimization pdf
Nesterov convex optimization pdf
Non convex optimization pdf
Convex optimization algorithms bertsekas pdf
What is convex optimization
Why convex optimization is important

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