To use MATLAB Compiler to build an executable that will run under MS Windows 32 bit version, or under MS Windows 64 bit version but the program operating in 32 bit mode, you can compile on either MS Windows 32 or MS Windows 64 bit. Use the hosted and shared web apps with MATLAB Web App Server provided with MATLAB Compiler to host your MATLAB based web apps and share them with users in your trusted intranet environment. Your users can access all available hosted web apps via a single home page.

Method 2 – Ping Broadcast Address The second way to do this if you can’t get access to your DHCP server is to use a useful command in Windows called ARP (Address Resolution Protocol). On my AT&T U-Verse box, it’s right on the home page and I simply click on Device Details to view the MAC Address. Basically, you ping the broadcast address on your network from any Windows machine and then check out the ARP table afterwards.

ABOUT TOMLAB TOMLAB is a general purpose development and modeling environment in Matlab for research, teaching and practical solution of optimization problems. The TOMLAB optimization environment is flexible, easy-to-use, robust and reliable for the solution of all types of applied optimization problems. TOMLAB has grown out of a need for advanced, robust and reliable tools to be used in the development of algorithms and software for the solution of applied optimization problems. TOMLAB supplies Matlab solver algorithms, as well as well-known state-of-the-art optimization software packages in the areas that TOMLAB covers. The external solvers are distributed as compiled binary MEX DLLs on PC-systems, and compiled MEX library files on Unix and other systems. All TOMLAB packages include a license for the solver.

The TOMLAB Base Module includes all Matlab code and a set of MEX file solvers. Additional solver capacity is available by adding one or more solver toolboxes, see the list of our. TOMLAB is compatible with the MathWorks Optimization Toolbox 3.x (see ), but solves more types of optimization problems, and is and more robust. More information about the TomSym modeling environment can be found here: An extensive and dedicated page about optimal control is available here: TOMLAB solves sparse and dense problems in the following areas: • Mixed-Integer Linear, Quadratic and Nonlinear Programming. • Semidefinite Programming with bilinear matrix constraints (BMI, LMI).

• Semidefinite Programming with LMI (Linear Matrix Inequalities). • Constrained Nonlinear Parameter Estimation, Minimax and L1 Data Fitting. • Nonlinear Programming.

• Global Optimization (Several minima), Box-Bounded, Nonlinear and Integer Constraints. • Costly Global Nonconvex Optimization. • Linear and Nonlinear Least Squares. • Nonsmooth Optimization. • Unconstrained Optimization. • Linear and Quadratic Programming. • Approximation of Empirical Data to Positive Sums of Exponential Functions.

• Geometric Programming. TOMLAB available for • Windows 32-bit Matlab 6.5, 7.x • Windows 64-bit Matlab 7.5+ • Linux 32-bit Matlab 7.x • Linux 64-bit Matlab 7.x (x86_64) • Intel Mac OS X 64-bit Matlab 7.x • Contact Key Features • Standalone licenses available for industrial and financial embedded systems. • Compile into standalone with the Matlab Compiler (MCC). • Fully compatible with MathWorks' Optimization Toolbox. • More than 100 numerical algorithms, both Matlab and Fortran (using MEX).