New posts in convex-optimization

Show that logistic regression with squared loss function is non-convex

convex-optimization logistic-regression

Optimization with box constraints - via nonlinear function

optimization numerical-methods convex-analysis convex-optimization nonlinear-optimization

Trust region problem using dual problem

convex-optimization quadratic-programming

Bounded linear function implication

linear-algebra convex-optimization bounded-variation

Degeneracy in Linear Programming

computer-science optimization linear-programming convex-optimization

Convex optimization with inequality constraints [closed]

convex-optimization

What Is the Motivation of Proximal Mapping / Proximal Operator?

convex-analysis convex-optimization proximal-operators

Max area: Quadrilateral with fixed perimeter and interior angle

geometry trigonometry reference-request optimization convex-optimization

How to find closest positive definite matrix of non-symmetric matrix

matrices convex-optimization

Proximal Operator of Spectral Norm (Schatten Norm) of a Matrix

linear-algebra convex-analysis convex-optimization spectral-norm proximal-operators

the solution to minimizing a sine function in the domain $x^2 \le3$

convex-optimization lagrange-multiplier constraints

Recognize that the function is unbounded below

convex-optimization lagrange-multiplier duality-theorems

Newton's method intuition

optimization convex-optimization

prove that hyperbolic cone is affine set (check my solution)

proof-verification convex-optimization affine-geometry

Matrix Linear Least Squares Problem with Diagonal Matrix Constraint

linear-algebra optimization convex-optimization least-squares svd

About the subdifferential of a convex function

optimization convex-optimization differential subgradient

Quadratic function but with matrix not positive definite. [duplicate]

optimization convex-optimization

Why is this unbounded below on $\frac{1}{2}$?

convex-optimization lagrange-multiplier constraints

What Is the Difference Between Interior Point Methods, Active Set Methods, Cutting Plane Methods and Proximal Gradient Methods?

optimization convex-analysis convex-optimization numerical-optimization proximal-operators

Show that the Huber-loss based optimization is equivalent to $\ell_1$ norm based.

optimization convex-analysis convex-optimization machine-learning