Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Simplex Algorithm: Initial Tableau, Simple Case
Graph Chatbot
Related lectures (21)
Optimization with Constraints: KKT Conditions Explained
Covers the KKT conditions for optimization with constraints, detailing their application and significance in solving constrained problems.
Formulation, Problem Transformations
MOOC: Optimization: principles and algorithms - Unconstrained nonlinear optimization
MOOC: Optimization: principles and algorithms - Linear optimization
Explores transforming optimization problems to meet algorithm requirements and make them equivalent.
Linear Programming: Weighted Bipartite Matching
Covers linear programming, weighted bipartite matching, and vertex cover problems in optimization.
Optimization with Constraints: Theory and Applications
Covers the theory and applications of optimization with constraints, including key concepts and numerical methods.
Hedging for LPs
Covers the concept of hedging for Linear Programs and the simplex method, focusing on minimizing costs and finding optimal solutions.
Discrete Optimization: Relaxation
MOOC: Optimization: principles and algorithms - Network and discrete optimization
Explores solving discrete optimization problems by relaxing integrality constraints.
Linear constraints: Basic directions
MOOC: Optimization: principles and algorithms - Linear optimization
Explores feasible directions in linear constraints and the conditions for feasibility.
Simplex Algorithm
Covers the Simplex algorithm for function minimization with linear constraints.
Gradient Descent: Optimization and Constraints
Log in to Mediaspace to watch this video
Discusses gradient descent for optimization with equality constraints and iterative convergence criteria.
Simplex Algorithm: Exercises & Interpretation
Log in to Mediaspace to watch this video
Covers exercises on the Simplex Algorithm, optimizing solutions subject to linear constraints.
Optimal Decision Making: Sensitivity Analysis
Log in to Mediaspace to watch this video
Covers sensitivity analysis in linear programming, focusing on optimal solutions and their sensitivities to changes.
ALM with Inequalities: Next Steps in Optimization
Log in to Mediaspace to watch this video
Explores the Augmented Lagrangian Method with equality and inequality constraints in optimization, emphasizing the importance of slack variables.
Linear Programming Basics
Log in to Mediaspace to watch this video
Covers the basics of linear programming, defining corners, extreme points, and feasible solutions within polyhedrons.
Linear Programming Basics
Log in to Mediaspace to watch this video
Introduces linear programming basics, including optimization problems, cost functions, simplex algorithm, geometry of linear programs, extreme points, and degeneracy.
Linear Programming: Extreme Points
Log in to Mediaspace to watch this video
Explores extreme points in linear programming and the role of constraints in finding optimal solutions.
Two-phase Simplex Algorithm: Introduction and Duality
Log in to Mediaspace to watch this video
Introduces the two-phase simplex algorithm and explores duality in linear programming.
Optimization Problems: Path Finding and Portfolio Allocation
Log in to Mediaspace to watch this video
Covers optimization problems in path finding and portfolio allocation.
Mixing Space I
Log in to Mediaspace to watch this video
Explores mixing space, ternary diagrams, greenhouse optimization, and solution scenarios.
Simplex Method: Phase 2
Log in to Mediaspace to watch this video
Delves into the second phase of the simplex method, emphasizing matrix operations for solving optimization problems with constraints.
Linear Algebra: Organization and Exercises
Log in to Mediaspace to watch this video
Covers the organization of linear algebra course and exercises for civil engineering and environmental sciences students.
Previous
Page 1 of 2
Next