Explore the branch and bound technique for solving combinatorial optimization problems in JavaScript. Learn to systematically explore solution spaces, implement algorithms, and optimize performance.
Explore the power of randomized algorithms in JavaScript, including Las Vegas and Monte Carlo types, with practical implementations like randomized quick sort.
Explore approximation algorithms in JavaScript, focusing on solving NP-hard problems with near-optimal solutions. Understand the necessity, design principles, and practical implementations of these algorithms.
Explore heuristic methods in JavaScript, including greedy algorithms, local search, simulated annealing, and genetic algorithms, to solve complex problems efficiently.