Matlab R2019a



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I didn’t have time earlier this year to write about the first MATLAB release of 2019, so in this post I will discuss R2019a and R2019b together. As usual in this series, I concentrate on the features most relevant to my work.

  • MATLAB Graphics - Use new bubble and swarm charts, and customize charts with new options for titles, labels, and axis limits.; MATLAB App Building - Diff and merge App Designer apps, and add custom figure icons and custom components to your MATLAB apps.
  • MATLAB Graphics - Use new bubble and swarm charts, and customize charts with new options for titles, labels, and axis limits.; MATLAB App Building - Diff and merge App Designer apps, and add custom figure icons and custom components to your MATLAB apps.; GPU Coder - Simulate and deploy Simulink models to NVIDIA ® GPUs; Mapping Toolbox - Build 3D map displays with basemaps.

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Modified Akima Cubic Hermite Interpolation (R2019b)

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A new function makima computes a piecewise cubic interpolant with continuous first-order derivatives. It produces fewer undulations than the existing spline function, with less flattening than pchip. This form of interpolant has been an option in interp1, interp2, interp3, interpn, and griddedInterpolant since R2017b and is now also a standalone function. For more details see Cleve Moler’s blog post about makima, from which the code used to generate the image above is taken.

Linear Assignment Problem and Equilibration (R2019a)

The matchpairs function solves the linear assignment problem, which requires each row of a matrix to be assigned to a column in such a way that the total cost of the assignments (given by the “sum of assigned elements” of the matrix) is minimized (or maximized). This problem can also be described as finding a minimum-weight matching in a weighted bipartite graph. The problem arises in sparse matrix computations.

The equilibrate function take as input a matrix A (dense or sparse) and returns a permutation matrix P and nonsingular diagonal matrices R and C such that R*P*A*C has diagonal entries of magnitude 1 and off-diagonal entries of magnitude at most 1. The outputs P, R, and C are sparse. This matrix equilibration can improve conditioning and can be a useful preprocessing step both in computing incomplete LU preconditioners and in iterative solvers. See, for example, the recent paper Max-Balanced Hungarian Scalings by Hook, Pestana, Tisseur, and Hogg.

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The scaling produced by equilibrate is known as Hungarian scaling, and its computation involves solving a linear assignment problem.

Function Argument Validation (R2019b)

A powerful new feature allows a function to check that its input arguments have the desired class, size, and other aspects. Previously, this could be done by calling the function validateattributes with each argument in turn or by using the inputParser object (see Loren Shure’s comparison of the different approaches).

The new feature provides a more structured way of achieving the same effect. It also allows default values for arguments to be specified. Function argument validation contains many aspects and has a long help page. We just illustrate it with a simple example that should be self-explanatory.

The functions mustBeNumeric and mustBeMember are just two of a long list of validation functions. Here is an example call:

One caveat is that a specification within the arguments block

allows not just 1-by-n vectors (for any n) but also n-by-1 vectors, because of the convention that in many situations MATLAB does not distinguish between row and column vectors.

For more extensive examples, see New with R2019b – Function Argument Validation and Spider Plots and More Argument Validation by Jiro Doke at MathWorks Blogs.

Matlab R2019a

Dot Indexing (R2019b)

One can now dot index the result of a function call. For example, consider

The output of the dot call can even be indexed:

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Of course, these are contrived examples, but in real codes such indexing can be useful. This syntax was not allowed in R2019a and earlier.

Hexadecimal and Binary Values (R2019b)

One can now specify hexadecimal and binary values using the prefixes 0x or 0X for hexadecimal (with upper or lower case for A to F) and 0b or 0B for binary. By default the results have integer type.

Changes to Function Precedence Order (R2019b)

The Release Notes say “Starting in R2019b, MATLAB changes the rules for name resolution, impacting the precedence order of variables, nested functions, local functions, and external functions. The new rules simplify and standardize name resolution”. A number of examples are given where the meaning of code is different in R2019b, and they could cause an error to be generated for codes that ran without error in earlier versions. As far as I can see, though, these changes are not likely to affect well-written MATLAB code.

Program File Size (R2019b)

Program files larger than “approximately 128 MB” will no longer open or run. This is an interesting change because I cannot imagine writing an M-file of that size. Good programming practice dictates splitting a code into separate functions and not including all of them in one program file. Presumably, some MATLAB users have produced such long files—perhaps automatically generated.

For a modern introduction and reference to MATLAB, see MATLAB Guide (third edition, 2017)

Download MATLAB R2019a free latest version offline setup for Windows 64-bit. Design of reinforced concrete structures by krishna raju pdf writer free. MATLAB R2019a is a powerful application for handling technical computing and data visualization providing a professional set of tools for handling various mathematical problems.

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A powerful mathematical problem-solving application, MATLAB R2019 is a powerful application for handling various data visualization application with a variety of powerful tools for investigating different issues. Yamaha s90 es driver for mac. It has the ability to solve various issues and provides support for processing the data. It provides better performance and supports running loops in live scripts and supports creating charts, animations, and different graphs. Also, it delivers the maximum level of performance when dealing with different types of mathematical problems, provides high-level scripting features with machine learning features, and supports communicating and controlling the designs and robotics with better signal processing features.

Matlab has a fully-featured code editor and provides support for better data manipulation and plotting features. It provides 2D and 3D figure based apps with better data classification features. Perform various domain-specific tasks and a variety of other powerful tools to process the information. Generate different types of 2D and 3D graphs to visualize the data and process a larger amount of data sets. Edit and publish the code as well as perform a variety of editing tasks with great ease. Handle 2D figure based apps with better graphical tools for visualizing the data.

Features of MATLAB R2019a

  • A complete solution for technical computing, visualization and more
  • Investigating and improving the performance of the code visually
  • Live editor loop execution and better performance features
  • Live Editor Animation Output with better performance features
  • Matrix laboratory and better technical computing features
  • Scientific problem-solving features with better control design and robotics
  • Machine learning and communications with image and signal processing features
  • Provides computational mathematics with a feature-rich code editor
  • Creating scripts and functions with 2D and 3D figure based apps
  • Curve fitting and domain-specific tasks with better control over the designs
  • A feature-rich editor with support for interacting with other applications
  • Expressing the ideas in a natural way and provides better code writing features
  • Object oriented programming features with support for C/C++, C#, Java, and .Net etc.
  • Handling mathematical computations with a better scripting language and other tools
  • Provides side by side streamlining and handling workflow in a better way
  • Increased productivity and much more to explore

Technical Details of MATLAB R2019a

  • Software Name: MATLAB R2019
  • Software File Name: MathWorks_MATLAB_R2019a_v9.6.0.1072779×64.zip
  • File Size: 19 GB
  • Developer: Mathworks

System Requirements for Mathworks MATLAB R2019a

  • Operating System: Windows 10
  • Free Hard Disk Space: 50 GB of minimum free HDD
  • Installed Memory: 8 GB of minimum RAM
  • Processor: Intel Core 2 Duo or higher

Mathworks MATLAB R2019a Free Download

Click on the below link to download the latest version offline setup of MATLAB R2019a for Windows x64 architecture.

Overview

  • The University of Delaware has a site license from Mathworks to allow a copy of Matlab to be placed on current faculty, staff, and all UD-owned computers at the University of Delaware.
  • Using our version of Matlab requires a persistent network connection to the UD License servers.
    • For off-campus access, you must use the UD VPN.
    • If you require Matlab to run without an internet connection you must purchase a stand-alone copy from MathWorks.

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Installation Overview

  • Review system requirements and platform roadmap before downloading.
  • Students who wish to install Matlab on their personal computer must purchase a student edition copy from MathWorks.
  • UD faculty and staff may install a network version of Matlab on UD-owned or their personally-owned computers.
  • When you leave the University, you must remove your copy of the software from your personally owned computer, or replace it with Mathworks' commercial version. If you have questions about your eligibility for this program, contact the IT Help Center at 831-6000.

Installation documentation for Matlab 2019a

You will need to perform the following installation tasks. An install guide is also included in the .zip file (install_guide.pdf.)
  • Notes:
    • Make sure to retain the File Installation Key (code) located on the download page. Download the software from the menu on the right.
    • You must download the license.dat file separately.
  • Run the installer.
    • Windows:
      • Double-click on the matlab_R2019a_win64.iso. This will mount the drive in the next available drive letter.
      • Navigate to the mounted drive and double-click on the setup.exe icon in the extraction folder.
      • Accept extraction defaults and allow the Visual C++ installer to proceed.
    • Mac:
      • Double-click on matlab_R2019a_imac64.dmg to open thedisk image and double-click the InstallForMacOSX icon to begin the installation.
    • Linux
      • Mount the ISO file.
      • Run the install file with root credentials.
        • If doing so from a terminal window this command is: ./install or sudo ./install
        • or if you are installing without a GUI installed then use: ./install -t or sudo ./install -t
  • Select the installation method.
    • Select Use a File Installation Key.
    • Accept the terms of the license agreement and click Next >.
    • Copy and paste the File Installation Key obtained with the download (listed as License Code).
      • It is the code displayed at the bottom of the page opened for the Matlab download. Copy and paste it from there.
    • Click Next >.
  • Accept defaults on the following screens.
  • Point to the license.dat file located in the extraction folder or where saved it to from the link on the right.
    • Note: This is the UD-specific file.
  • Select Install
  • After installation,
    • You may delete the downloaded and extracted files.

Notes

R2019a

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  • To run Matlab, while off-campus run the VPN client.
  • To run Matlab from a terminal window on Linux, put /usr/local/MATLAB/R2019a/bin in your PATH.
  • To run Matlab from a terminal window on Mac, put /Applications/MATLAB_R2019a.app/bin in your PATH.

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Troubleshooting

  • Why am I unable to browse to a mapped network drive when activating on Windows 7?
    • UPDATE from Mathworks: Temporarily disable UAC (User Access Control) before starting the installation to see mapped drives. Make sure you turn it back on once the installation is complete.