Optimization Toolbox

Introduction to Optimization Toolbox  

Introduction to Optimization Graphical User Interface   6:08

Set up and run optimization problems and visualize intermediate and final results.

Mathematical Modeling with Optimization, Part 1   8:51  

Transform a problem description into a mathematical program that can be solved using optimization, using a steam and electric power plant example.

Mathematical Modeling with Optimization, Part 2   10:47  

Solve a linear program using Optimization Toolbox solvers, using a steam and electric power plant example.

Minimizing an Expensive Optimization Problem Using Parallel Computing Toolbox  

Analyzing the Effect of Uncertainty Using Semi-Infinite Programming    

Binary Integer Programming  

Medium-Scale Nonlinear Data Fitting  

Minimax Optimization  

Multiobjective Goal Attainment Optimization  

Using Symbolic Mathematics with Optimization Toolbox^™ Solvers    

Large-Scale Unconstrained Nonlinear Minimization  

Large-Scale Quadratic Programming  

Large-Scale Constrained Linear Least-Squares  

Finding an Optimal Path Using MATLAB and Optimization Toolbox   7:29  

Solve the path planning problem of navigating through a vector field of wind in the least possible time.

Using Quadratic Programming on Portfolio Optimization Problems    

Optimizing Shift Schedule to Maximize Fuel Economy   5:33  

Optimize 20 parameters in a shift schedule to maximize fuel economy for a dual-clutch transmission. Global optimization algorithms and parallel computing are used to accelerate the optimization.

Hydraulic Valve Parameters, Flow Rate   8:03  

Automatically tune hydraulic valve parameters to match flow rate characteristics on manufacturer’s data sheets using optimization algorithms.

Hydraulic Valve Parameters, Frequency Response   5:51  

Automatically tune hydraulic valve parameters to match frequency response characteristics on manufacturer’s data sheets using optimization algorithms.