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convex optimization

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Hulu Beijing
Hulu Beijing
Jan 2, 2018 · Fundamentals

Master Classic Optimization Algorithms: Direct vs Iterative Methods Explained

This article introduces classic optimization algorithms, distinguishing direct methods that require convexity and closed‑form solutions from iterative first‑ and second‑order methods, and explains their applicability, underlying theory, and key references for solving smooth unconstrained problems.

Newton's methodOptimizationalgorithm fundamentals
0 likes · 8 min read
Master Classic Optimization Algorithms: Direct vs Iterative Methods Explained
Hulu Beijing
Hulu Beijing
Nov 14, 2017 · Artificial Intelligence

Are Projected Points Still Linearly Separable? SVM Insight & Proof

This article examines whether points from two linearly separable classes remain separable after being projected onto the SVM decision hyperplane, providing geometric and convex‑optimization proofs along with illustrative diagrams and references for deeper study.

Machine LearningSVMconvex optimization
0 likes · 7 min read
Are Projected Points Still Linearly Separable? SVM Insight & Proof