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Related lectures (28)

Page 3 of 3

Introduction to Algorithms

Explores the ingredients and selection of algorithms for different goals.

Knapsack Problem: Optimization and Traveling Salesman

Explores the knapsack problem and the traveling salesman problem with a focus on optimization algorithms.

Dynamic Programming: Knapsack

Explores dynamic programming for the Knapsack problem, discussing strategies, algorithms, NP-hardness, and time complexity analysis.

Computer Architecture: Algorithms to Programs (Compilation)

Explores the transition from algorithms to programs through compilation, emphasizing constraints and machine-understandable coding practices.

Energy Systems Optimization

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

Optimization Principles

Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.

Branch & Bound: Optimization

Covers the Branch & Bound algorithm for efficient exploration of feasible solutions and discusses LP relaxation, portfolio optimization, Nonlinear Programming, and various optimization problems.

Distributed Intelligent Systems: General Logistics and Course Overview

Covers the general logistics, course rationale, prerequisites, organization, credits, workload, grading, and course content, including swarm intelligence, foraging strategies, and collective phenomena.