MATLAB-Versions.md

@@ -117,35 +117,150 @@ Release Notes](https://fr.mathworks.com/help/matlab/release-notes.html).
 
 # MATLAB 9.7 (R2019b)
 
+- It’s now possible to use the dot-indexing operator on a function call, e.g.
+  `createStruct(3).aField`
+- The `size` function now accepts a vector dimension argument to query multiple
+  array dimension lengths at a time
+- It’s now possible to restrict the possible values of input arguments to a
+  function, using function argument validation
+- Numbers can be specified using hexadecimal or binary literals
+- New `matches` function to determine if two input strings are equal
+- New `namedargs2cell` function to convert structure containing name-value
+  pairs to cell array
+- The `error` function now accepts a suggested fix for an uncaught exception
+  (should be the first argument, as a `Correction` instance)
+- New `groupfilter` function for filtering data in a table, timetable, or
+  matrix by group
+- New `sheetnames` function to get names of worksheets from spreadsheet file
+- New `makima` function for performing modified Akima cubic Hermite
+  interpolation
+
 # MATLAB 9.6 (R2019a)
 
+- New `append` function for combining strings
+- The `min` and `max` functions:
+  + now return index information corresponding to the minimum and maximum
+    values When simultaneously operating on more than one dimension
+  + now return the linear indices corresponding to the minimum and maximum values of
+    the input array using the `'linear'` option
+- New `readmatrix`, `readvars`, and `readcell` functions for reading tabular
+  data as a matrix, variables, or a cell array
+- New `writematrix` and `writecell` functions for writing tabular data from a
+  matrix or cell array to a text or spreadsheet file
+- New functions `matchpairs` and `equilibrate` for solving assignment problems
+- New `xcorr` and `xcov` functions for compute cross-correlation and
+  cross-covariance (they were previously in the Signal Processing toolbox, now
+  they are in MATLAB core)
+- The `detrend` function can now remove piecewise polynomial trends, set
+  continuity requirements, and specify sample points
+- It is now possible to provide a suggested fix for an uncaught exception in
+  the `MException` class, using the `addCorrection` method and the `Correction` class
+- New `parallelplot` function for visualizing tabular or matrix data with
+  multiple columns by using a parallel coordinates plot
+- The `grouptransform` function now operates on arrays
+
 # MATLAB 9.5 (R2018b)
 
+- It is now possible to use string arrays where character vectors or cell
+  arrays of character vectors were previously accepted; using double quotes
+  everywhere is now encouraged
+- New `convertContainedStringsToChars` function to convert string arrays at any
+  level of cell array or structure
+- The following functions now accept a vector dimension argument to specify
+  multiple operating dimensions at a time, as well as the option `'all'` to
+  specify all dimensions of an array: `all`, `any`, `bounds`, `max`, `mean`,
+  `median`, `min`, `mode`, `prod`, `std`, `sum`, `var`
+- New `sinpi` and `cospi` functions for computing the sine and cosine of multiples of π
+- `readwrite` and `writetable` are now able to manipulate Excel files on Windows without launching Microsoft Excel
+- New `grouptransform` function for transforming by groups on tables and timetables
+- New `groupsummary` function to perform group summary computations on matrices
+- New `rmoutliers` function for removing outliers in an array, table, or timetable
+
 # MATLAB 9.4 (R2018a)
 
 - New interleaved complex ABI for MEX files
 - New C++ MEX interface
-- `readwrite` and `writetable` are now able to manipulate Excel files on Windows without launching Microsoft Excel
-- New `normalize` function
+- New `normalize` function for normalizing array, table, and timetable data
+- Possibility of creating complex empty arrays using functions such as `zeros`
+  and `ones` with the `'like'` option, or with the `complex([])` syntax
 
 # MATLAB 9.3 (R2017b)
 
-- New `isfile` function
+- New `isfile` and `isfolder` functions
+- New `decomposition` object to solve linear systems repeatedly with improved
+  performance
+- New `lsqminnorm` function to find minimum-norm solution of underdetermined
+  linear system
+- New `dissect` function to reorder sparse matrix columns using nested
+  dissection ordering
+- New `vecnorm` function to compute vector-wise norms of arrays
+- New values for the `sigma` option of `eigs`
+- The `eigs` and `svds` functions now accept name-value pairs for options
+- The `griddedInterpolant`, `interp1`, `interp2`, `interp3`, and `interpn`
+  functions now support the interpolation method `'makima'`, which is the
+  modified Akima cubic Hermite interpolation method.
 - New `tallrng` function for controlling random number generation for tall arrays
+- New `isStringScalar` function for determining whether input is a string array
+  with one element
+- New `convertStringsToChars` and `convertCharsToStrings` functions to enable
+  one’s code to accept all text types as inputs without otherwise altering the
+  code
+- The `arrayfun`, `cellfun`, and `structfun` functions can return object arrays
+  of any data type, so long as the objects can be concatenated
+- New `geobubble`, `wordcloud` and `binscatter` graphics functions
+- The `bar` function makes it possible to control individual bar colors
+- The `jsonencode` function encodes MATLAB `NaN` and `Inf` values in JSON as
+  null, unless asked otherwise with the `'ConvertInfAndNaN'` option set to false. 
+- New `ischange` function to detect abrupt changes in data
+- New `islocalmin` and `islocalmax` functions to detect local minima and maxima in data
+- New `mink` and `maxk` functions for finding the k smallest or largest elements in an array
 
 # MATLAB 9.2 (R2017a)
 
 - String arrays can now be constructed using double quotes
+- New `bounds` function for simultaneously determine the smallest and largest
+  elements of an array
+- New `'omitnan'` option for the `prod` and `cumprod` functions
+- New `movmad` and `movprod` functions for computing moving median absolute
+  deviation and moving product of an array
+- New `missing` function to represent missing data in various types of
+  containers and objects
+- New `issortedrows` to determine if matrix or table rows are sorted
+- New `'ComparisonMethod'` and `'MissingPlacement'` options for the `sort` and
+  `sortrows` functions
+- New `'monotonic'`, `'strictmonotonic'`, `'strictascend'`, and
+  `'strictdescend'` options to the `issorted` function
+- The data type of the output argument for the `compose`, `extractAfter`,
+  `extractBefore`, `extractBetween`, `join`, `split`, and `splitlines`
+  functions is now the same as the type of input arguments (they would always
+  return string arrays in R2016b)
+- New `head` and `tail` functions for returning the top or bottom rows of table
+  or timetable
+- New `heatmap` function
+- New `-nocompression` option to the `save` command
+- `jsondecode` now converts JSON null values in numeric arrays to `NaN`
+- New `isoutlier` and `filloutliers` functions for detecting and replacing
+  outliers in an array or table
+- New `smoothdata` function for smoothing noisy data in an array or table with
+  filtering or local regression
+- New `summary` function for calculating summary statistics and variable
+  information in tables and timetables
 
 # MATLAB 9.1 (R2016b)
 
 - Adds “automatic broadcasting”, also known as “implicit expansion” (`bsxfun`
   becomes therefore essentially useless)
+- It is now possible to define local functions in scripts
 - New `contains` function
-- New `splitlines` function
+- New `join`, `split`, `splitlines`, `compose`, `extractAfter`,
+  `extractBefore`, `extractBetween` functions
 - New `jsondecode` and `jsonencode` functions
 - Introduces string arrays (with function `string`)
-- New `fillmissing` function
+- New `ismissing`, `standardizeMissing`, `fillmissing`, and `rmmissing`
+  functions for finding, filling, and removing missing data from arrays or
+  tables
+- The `dir` function now accepts wildcards
+- New `timetable` data container and `timerange` function
 
 # MATLAB 9.0 (R2016a)