Prerequisites

MATLAB Fundamentals . Knowledge of linear algebra and multivariate calculus is helpful.

This program has been approved by GARP and qualifies for 7 GARP CPD credit hours. If you are a Certified FRM or ERP, please record this activity in your credit tracker at http://www.garp.org/cpd.

Optimization Techniques in MATLAB

This one-day course introduces applied optimization in the MATLAB^® environment, focusing on using Optimization Toolbox^™ and Global Optimization Toolbox. Topics include:

Running optimization problems in MATLAB
Specifying objective functions and constraints
Choosing solvers and improving performance
Global and multiobjective optimization

See detailed course outline

Prerequisites

MATLAB Fundamentals . Knowledge of linear algebra and multivariate calculus is helpful.

This program has been approved by GARP and qualifies for 7 GARP CPD credit hours. If you are a Certified FRM or ERP, please record this activity in your credit tracker at http://www.garp.org/cpd.

Day 1 of 1
Running an Optimization Problem	Objective: Understand the basic structure and process of solving optimization problems effectively. Use interactive tools to define and solve optimization problems. Identifying the problem components Running an optimization using the Live Editor Optimization Task Applying the optimization process Using optimization functions
Specifying Objective Functions and Constraints	Objective: Write an optimization problem. Use problem-based workflow to arrive at a solution. Using the problem-based workflow Specifying objective functions and constraints Identifying different types of constraints
Choosing a Solver and Improving Performance	Objective: Select an appropriate solver and algorithm by considering the type of optimization problem to be solved. Interpret the output from the solver and diagnose the progress of an optimization. Classifying the objective Choosing a solver and algorithm Examining and interpreting the result Providing derivative information
Global and Multiobjective Optimization	Objective: Use Global Optimization Toolbox functionality to solve problems where classical algorithms fail or work inefficiently. Solve problems with many objectives. Finding the global minimum Using genetic algorithms, direct search methods and surrogate optimization Use multiobjective solvers

Guaranteed to Run

When you register for one of these courses, you can rely on the fact that it won't be canceled or rescheduled for any reason.

Course Schedule

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Dates	Location	Language	Price
20 Sep 2021	Virtual 9:00 am - 5:00 pm US Pacific Daylight Time	English	USD 750
22 Sep 2021	Virtual 9:00 am - 5:00 pm Japan Standard Time	Japanese	USD 750
07 Oct 2021	Virtual 9:00 am - 5:00 pm Korea Standard Time	Korean	USD 750
02 Nov 2021	Virtual 9:00 am - 5:00 pm US Eastern Daylight Time	English	USD 750
10 Nov 2021	Virtual 9:00 am - 5:00 pm China Standard Time	Chinese	USD 750
19 Nov 2021	Virtual 9:00 am - 5:00 pm Australian Eastern Daylight Time	English	USD 750
25 Nov 2021	Virtual 9:00 am - 5:00 pm Central European Time	English	USD 750

Results 1 - 7 of 7

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