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Optimization in Engineering

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Related lectures (48)

Multi-Criteria Decisions: Pareto Optimization Techniques Log in to Mediaspace to watch this video

Delves into Pareto optimization techniques for generating system configurations and making decisions efficiently.

Computational Science and Engineering: Master Program Overview Log in to Mediaspace to watch this video

Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.

Numerical Analysis: Introduction to Interpolation Techniques Log in to Mediaspace to watch this video

Covers the basics of numerical analysis, focusing on interpolation methods and their applications in engineering.

Faster Gradient Descent: Projected Optimization Techniques Log in to Mediaspace to watch this video

Covers faster gradient descent methods and projected gradient descent for constrained optimization in machine learning.

Optimization: Constrained Volume Problems Log in to Mediaspace to watch this video

Explores constrained volume problems using Lagrange multipliers to find extrema under constraints in various examples.

Lagrange Multipliers Theorem Log in to Mediaspace to watch this video

Covers the Lagrange Multipliers Theorem and its applications in finding extrema.

Semi-Definite Programming Log in to Mediaspace to watch this video

Covers semi-definite programming and optimization over positive semidefinite cones.

Dynamic Programming: Steinitz Sequence Log in to Mediaspace to watch this video

Explores dynamic programming with the Steinitz sequence to optimize solutions efficiently.

Single Inequality or Equality Constraint Log in to Mediaspace to watch this video

Covers single inequality or equality constraints and necessary optimality conditions in optimization problems.

Energy Consumption in Mechanical Systems: A Comparative Analysis Log in to Mediaspace to watch this video

Analyzes energy consumption in mechanical systems, comparing the effort of an Olympic cyclist to power a toaster and discussing mechanical principles and cable selection.

Optimization Principles Log in to Mediaspace to watch this video

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

Linear Optimization: Fundamentals Log in to Mediaspace to watch this video

Covers the basics of linear optimization, including equations, polyhedrons, feasible directions, and optimal solutions.

Introduction to Structural Mechanics: Course Overview and Logistics Log in to Mediaspace to watch this video

Introduces the ME-104 course on structural mechanics, covering objectives, logistics, and key concepts in understanding static forces and structural analysis.

Optimization Programs: Piecewise Linear Cost Functions Log in to Mediaspace to watch this video

Covers the formulation of optimization programs for minimizing piecewise linear cost functions.

Equality and Inequality Constraints: Optimization Conditions Log in to Mediaspace to watch this video

Covers necessary optimality conditions for optimization with constraints and discusses cones and polar sets.

Linear Programming Basics Log in to Mediaspace to watch this video

Covers deriving basic linear program representation, finding solutions, and exploring optimality.

Linear Programming: Solving LPs Log in to Mediaspace to watch this video

Covers the process of solving Linear Programs (LPs) using the simplex method.

Programming for Engineers: Overview and Interactive Quiz Log in to Mediaspace to watch this video

Covers programming concepts for engineers, including interactive quizzes and practical applications to enhance learning and engagement.

Career Reflections: Lessons from a Decade in Industry Log in to Mediaspace to watch this video

Shares insights from a decade in the tech industry, focusing on career lessons and future predictions influenced by AI and evolving work environments.

Optimization Problems: Path Finding and Portfolio Allocation Log in to Mediaspace to watch this video

Covers optimization problems in path finding and portfolio allocation.

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