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15
Math.TechQA.Club
2019-04-29 06:31:31
280
Views
What point will ADMM converge to ? A feasible point or a stationary point or local optima or global optima?
Published on
29 Apr 2019 - 6:31
#optimization
#convex-optimization
#nonlinear-optimization
#numerical-optimization
28
Views
Analysis of optimization procedure for two equivalent optimization problems
Published on
02 May 2019 - 21:05
#optimization
#numerical-optimization
#gradient-descent
81
Views
Quadratic convex objective with non-smooth constraint
Published on
03 May 2019 - 7:19
#optimization
#convex-analysis
#convex-optimization
#numerical-optimization
323
Views
Numerical methods for solving the inverse Weierstrass transform
Published on
23 Feb 2026 - 1:19
#numerical-methods
#numerical-optimization
#weierstrass-approximation
256
Views
Convergence Rates of Stochastic Gradient Descent with different sample size
Published on
06 May 2019 - 18:22
#optimization
#machine-learning
#numerical-optimization
#gradient-descent
194
Views
Minimizing univariate quadratic via gradient descent — choosing the step size
Published on
26 Mar 2026 - 1:03
#optimization
#numerical-optimization
#gradient-descent
#quadratic-programming
87
Views
Linear Program is Surprisngly Infeasible - Trying to Write the Dual
Published on
13 May 2019 - 19:33
#optimization
#convex-optimization
#linear-programming
#numerical-optimization
226
Views
The notion of conflicting objective functions in multi-objective optimization
Published on
23 Mar 2026 - 23:57
#convex-optimization
#nonlinear-optimization
#numerical-optimization
#non-convex-optimization
71
Views
A "divide-and-conquer" iterative procedure for minimizing a sum of convex functions
Published on
26 Mar 2026 - 22:13
#optimization
#convex-optimization
#numerical-optimization
#newton-raphson
1.6k
Views
How to implement Finite Difference Method ODE Boundary Value Problem in Python?
Published on
23 Feb 2026 - 4:33
#ordinary-differential-equations
#numerical-methods
#numerical-optimization
#finite-differences
#finite-difference-methods
2.1k
Views
Derive Hessian inverse update using Sherman-Morrison in Quasi Newton Method
Published on
25 Mar 2026 - 13:55
#linear-algebra
#convex-optimization
#numerical-linear-algebra
#numerical-optimization
#hessian-matrix
355
Views
How to use Finite Difference Method solving ODE with Boundary Value Problems?
Published on
25 Mar 2026 - 23:35
#numerical-methods
#numerical-optimization
#finite-differences
93
Views
Finding minimum of penalty-approximated quadratic problem
Published on
26 Mar 2026 - 1:01
#linear-algebra
#optimization
#convex-optimization
#numerical-optimization
#quadratic-programming
163
Views
Online Non-convex optimization
Published on
26 Mar 2026 - 2:53
#optimization
#numerical-optimization
#gradient-descent
#non-convex-optimization
724
Views
Optimise allocation to minimise variance
Published on
23 May 2019 - 17:24
#linear-algebra
#optimization
#linear-programming
#problem-solving
#numerical-optimization
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