Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...
Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...
2. Gaussian filters : Kalman, Information... 3. Nonparametric filters: Histogram, Particle... III. Machine Learning 1. Neural Nets : perceptron, multi-layered ...
IIT Madras’ free 2026 ‘Introduction to Machine Learning’ course offers a concept-driven, maths-backed path into AI. Across 12 ...
The problem of applying Generalized Lagrange Multipliers (GLM) to 0-1 integer programming problems is investigated. It is shown that GLM can produce optimal solutions if and only if these solutions ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback