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Automated Planning: Modeling and Constraints
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Related lectures (31)
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Optimization: Constrained Volume Problems
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Explores constrained volume problems using Lagrange multipliers to find extrema under constraints in various examples.
Linear Programming: Extreme Points
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Explores extreme points in linear programming and the role of constraints in finding optimal solutions.
Distributed Multiagent Systems: Coordination and Learning
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Explores coordination and learning in distributed multiagent systems, covering social laws, task exchange, constraint satisfaction, and coordination algorithms.
Relations Between Events
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Explores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.
Rheology: Constitutive Law and Cats
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Explores the rheology of materials, drawing parallels between cats' behavior and material properties.
Optimization: Lagrange Multipliers
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Covers the method of Lagrange multipliers to find extrema subject to constraints.
Linear Programming Basics
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Covers the basics of linear programming, defining corners, extreme points, and feasible solutions within polyhedrons.
Optimization Problems: Path Finding and Portfolio Allocation
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Covers optimization problems in path finding and portfolio allocation.
Optimal Decision Making: Sensitivity Analysis
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Covers sensitivity analysis in linear programming, focusing on optimal solutions and their sensitivities to changes.
Calculus of Variations: Euler's Elastica
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Covers Euler's Elastica and the equilibrium shape of a bent beam using variational/energy methods.
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