See my answer below on how to install toolboxes after you have a license. Once a toolbox is installed and licensed, then there is no special way to access them; you just start making calls to the functions in the toolbox. You do not need to use anything similar to. Accepted Answer. Walter Roberson on 7 Mar Vote 2. If you are using Ra or later, and you already have a license for the toolbox and the license has made it through the processing to be registered against your account , then you run the MATLAB installer, which will detect which toolboxes are on your license and will give you an option to pick which ones you want to install.
If you do not already have a license for the toolbox, then you need to either request a trial of the software you will be sent a download link if the trial is granted , or you need to purchase first. Note: if you are working within a sufficiently large organization that is doing the purchasing for you, such as academic institutions with site-wide licenses, then you might need to contact your IT staff to find out where the installation files are.
Steven Lord on 3 Apr There's also the Add-Ons icon on the Home tab of the Toolstrip. Since at least release Rb you can use it to install MathWorks toolboxes as well as community-authored toolboxes. I haven't done this myself but when you try to get a MathWorks toolbox add-on via the Add-Ons manager, I believe if you have a license for it the manager will launch the installer for you. You see the location of the files open, and you must double-click the installer file to start the installation process.
The installer file is typically the only executable program in the folder. If you performed the manual download process, you need to find the download location of the files. You must double-click the installer file to start the installation process. Click Yes to give the installer permission to install the Symbolic Math Toolbox. Otherwise, the installation will fail. No matter how you start the installer, eventually you see a MathWorks installer dialog box.
This dialog box determines the source of the files that you use to perform the installation. Choosing the Install Using the Internet option downloads the files directly from the MathWorks site — you also have the option of using source files on your hard drive. The following steps help you complete the installation process. You see the File Installation Key dialog box. Web icon An illustration of a computer application window Wayback Machine Texts icon An illustration of an open book.
Books Video icon An illustration of two cells of a film strip. Video Audio icon An illustration of an audio speaker. Audio Software icon An illustration of a 3. Software Images icon An illustration of two photographs. Solve faster and more robustly with automatic differentiation on the nonlinear expressions.
Apply an automatically selected solver. Write nonlinear objectives and constraints using functions; write linear objectives and constraints using coefficient matrices. Interactively create and solve the problem with the Optimize Live Editor task and then generate code for sharing or use in your application.
Apply a solver to the optimization problem to find an optimal solution: a set of optimization variable values that produce the optimal value of the objective function, if any, and meet the constraints, if any. Use the Optimize Live Editor task to help choose a solver suitable for the type of problem when using the solver-based approach.
The solver is automatically selected in the problem-based approach. Set optimization options to tune the optimization process, for example, to choose the optimization algorithm used by the solver, or to set termination conditions. Set options to monitor and plot optimization solver progress. Review the exit messages, optimality measures, and the iterative display to assess the solution.
Improve performance on nonlinear problems by using automatic differentiation, supplying gradients, or using parallel computing to estimate gradients.
Solve optimization problems that have a nonlinear objective or are subject to nonlinear constraints. Apply quasi-Newton, trust-region, or Nelder-Mead simplex algorithms to solve unconstrained problems.
Apply interior-point, sequential-quadratic-programming SQP , or trust-region-reflective algorithms to solve constrained problems. Use nonlinear optimization for estimating and tuning parameters, finding optimal designs, computing optimal trajectories, constructing robust portfolios, and other applications where there is a nonlinear relationship between variables. Solve convex optimization problems that have linear or quadratic objectives and are subject to linear or second-order cone constraints.
Apply interior-point, active-set, or trust-region-reflective algorithms to solve quadratic programs. Apply interior-point methods to solve second-order cone programs. Use linear programming on problems such as resource allocation, production planning, blending, and investment planning. Use quadratic and second-order cone programming on problems such as design optimization, portfolio optimization, and control of hydroelectric dams.
Solve optimization problems that have linear objectives subject to linear constraints, with the additional constraint that some or all variables must be integer-valued. Solve mixed-integer linear programming problems using the branch and bound algorithm, which includes preprocessing, heuristics for generating feasible points, and cutting planes. Routing, scheduling, planning, assignment, and capital budgeting problems are typical applications.
Solve optimization problems that have multiple objective functions subject to a set of constraints. Formulate problems as either goal-attainment or minimax. Use goal-attainment when there are optionally weighted goal values for each of the objectives. Use minimax to minimize the worst-case value of a set of objective functions. Use multiobjective optimization when tradeoffs are required for conflicting objectives. Examples are weight and strength in structural design and risk and return in portfolio optimization.
Solve nonlinear least-squares problems and nonlinear systems of equations subject to bound constraints. Solve linear least-squares problems subject to bound and linear constraints. Use linear least-squares solvers to fit a linear model to acquired data or to solve a system of linear equations, including when the parameters are subject to bound and linear constraints.
Use nonlinear least-squares solvers to fit a nonlinear model to acquired data or to solve a system of nonlinear equations, including when the parameters are subject to bound constraints. Build optimization-based decision support and design tools, integrate with enterprise systems, and deploy optimization algorithms to embedded systems.
Compile the generated code for any hardware, including embedded systems. Select a Web Site. Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select:.
Select the China site in Chinese or English for best site performance. Other MathWorks country sites are not optimized for visits from your location. Toggle Main Navigation. Optimization Toolbox. Search MathWorks.
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