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Run set of tests for performance measurement

`results = runperf`

`results = runperf(tests)`

`results = runperf(tests,Name,Value)`

`results = runperf`

runs all the tests in your current folder
for performance measurements and returns an array of
`MeasurementResult`

objects. Each element in
`results`

corresponds to an element in the test suite.

The performance test framework runs the tests using a variable number of
measurements to reach a sample mean with a 0.05 relative margin of error within a
0.95 confidence level. It runs the tests four times to warm up the code, and then
between 4 and 32 times to collect measurements that meet the statistical objectives.
If the sample mean does not meet the 0.05 relative margin of error within a 0.95
confidence level after 32 test runs, the performance test framework stops running
the test and displays a warning. In this case, the `MeasurementResult`

object contains information for the 4 warm-up runs and 32 measurement runs.

The `runperf`

function provides a simple way to run a
collection of tests as a performance experiment.

`results = runperf(`

runs a set of tests with additional options specified by one or more
`tests`

,`Name,Value`

)`Name,Value`

pair arguments.

To customize the statistical objectives of the performance test, use the

`TimeExperiment`

class to construct and run the performance test.

To create a test suite explicitly, you can use the `testsuite`

function or the `matlab.unittest.TestSuite`

methods to
create a suite. Then, you can run your performance test with the `run`

method of your specified `TimeExperiment`

.

`matlab.perftest.FrequentistTimeExperiment`

| `matlab.unittest.measurement.MeasurementResult`

| `runtests`

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