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Matlab : advanced training (MA-PA)

Master Matlab programming to design complex and robust algorithms

Reminder for algorithm optimization

Pre-allocation – Vectorization – Profiler utilization

Mixing different kinds of data with cell arrays

Declaration – Indexation – Handling – Example of use

Organizing data with structures

Declaration – Indexation – Handling – Example of use

Expanding tables to N dimensions

Declaration – Indexation – Handling – Example of use

Developing more generic functions

Handle input settings – Number of output/input variables – Type of input/output data

Make programs more robust

Errors and warnings management – Programming advices

Capitalizing on my development

Creation of personal toolbox

Educational objectives

  • to master Matlab programming so as to design complex and robust algorithms
  • Discover complex data types

Expected benefits

  • improve programming quality and applications efficiency

Information

Duration: 1 day

Target audience:

  • engineers
  • scientific programmers

Training level:

  • perfecting course
  • general subject

Prerequisites:

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