Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
Introduction to optimization — Xin-she Yang (2019) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Introduction to optimization
Shared by
Xin-she Yang
Middlesex University - London
Introduction to optimization
In: Introduction to optimization (Elsevier eBooks)
Chapter In A Book
2019
English
Authors
Xin-she Yang
Middlesex University - London
Abstract
1 min read
This chapter introduces the fundamentals of algorithms in the context of data mining, optimization, and machine learning, including the feasibility, constraints, optimality, Lagrange multipliers, KKT conditions, and gradient-based techniques.
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Chapter in a book
2021
Introduction to Algorithms
Xin-she Yang
Book
2008
Introduction to Mathematical Optimization: From Linear Programming to Metaheuristics
Xin-she Yang
Chapter in a book
2019
Optimization algorithms
Xin-she Yang
Chapter in a book
2021
Data Mining and Deep Learning
Xin-she Yang
Article
2023
A Survey on Model-Based, Heuristic, and Machine Learning Optimization Approaches in RIS-Aided Wireless Networks
Hao Zhou
,
Melike Erol‐Kantarci
,
Yuanwei Liu
,
H Vincent Vincent Poort
Discussion(0)
No comments yet. Be the first to comment.