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CVXGEN: Code Generation for Convex Optimization

CVXGEN: Code Generation for Convex Optimization. CVXGEN generates fast custom code for small, QP-representable convex optimization problems, using an online interface with no software installation. With minimal effort, turn a mathematical problem description into a high speed solver. Describe your LP or convex QP. Describe your small, quadratic program (QP) representable problem with a simple, powerful language. Automatically generate a custom solver. Solve your problems up to 10,000 times faster. CVXGEN...

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CVXGEN: Code Generation for Convex Optimization | cvxgen.com Reviews

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CVXGEN: Code Generation for Convex Optimization. CVXGEN generates fast custom code for small, QP-representable convex optimization problems, using an online interface with no software installation. With minimal effort, turn a mathematical problem description into a high speed solver. Describe your LP or convex QP. Describe your small, quadratic program (QP) representable problem with a simple, powerful language. Automatically generate a custom solver. Solve your problems up to 10,000 times faster. CVXGEN...

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2 intro

3 screenshots

4 licensing

5 user's guide

6 overview

7 dimensions

8 parameters

9 variables

10 indexed symbols

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CVXGEN: Code Generation for Convex Optimization | cvxgen.com Reviews

https://cvxgen.com

CVXGEN: Code Generation for Convex Optimization. CVXGEN generates fast custom code for small, QP-representable convex optimization problems, using an online interface with no software installation. With minimal effort, turn a mathematical problem description into a high speed solver. Describe your LP or convex QP. Describe your small, quadratic program (QP) representable problem with a simple, powerful language. Automatically generate a custom solver. Solve your problems up to 10,000 times faster. CVXGEN...

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cvxgen.com

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CVXGEN: Code Generation for Convex Optimization

http://www.cvxgen.com/docs/c_interface.html

CVXGEN: Code Generation for Convex Optimization. Using the C interface. For the most flexible and best performing solver, use C directly. Once you have generated code online, do the following. Download and extract the ‘cvxgen.zip’ archive for your problem. This will create a subdirectory called. CVXGEN automatically creates random example data, (which may not be a feasible, unbounded problem instance). Use this to test compilation and basic operation, by typing. Check several iterations occur. No other s...

2

CVXGEN: Code Generation for Convex Optimization

http://www.cvxgen.com/docs/matlab_interface.html

CVXGEN: Code Generation for Convex Optimization. Using the Matlab interface. CVXGEN creates a Matlab MEX interface for use with each custom solver, making it easy to test and use high-speed solvers in simulations and data analysis. The easiest way to use this interface is via the ‘Matlab’ screen in CVXGEN's online interface. Just copy and paste the given two lines of code into Matlab. This will perform the following steps, which you can also do manually. Folder in Matlab, call. This will use the. Nonnega...

3

CVXGEN: Code Generation for Convex Optimization

http://www.cvxgen.com/docs/dimensions.html

CVXGEN: Code Generation for Convex Optimization. Dimensions may be used anywhere in the problem specification in place of integers. This removes ‘magic numbers’ from the dimensions of variables and parameters (for example), and makes it easy to adjust the size of a problem. The left-hand side must consist only of numbers, letters and underscore, and must start with a letter or an underscore. The right-hand side must be an integer. Dimensions can be used anywhere else in the problem specification.

4

CVXGEN: Code Generation for Convex Optimization

http://www.cvxgen.com/docs/screenshots.html

CVXGEN: Code Generation for Convex Optimization. These screenshots demonstrate the basic functionality available through CVXGEN's online interface. Middot; next →. Specify your problem in a natural, direct way. Page generated 2013-12-04 20:44:02 PST, by jemdoc.

5

CVXGEN: Code Generation for Convex Optimization

http://www.cvxgen.com/docs/constraints.html

CVXGEN: Code Generation for Convex Optimization. You can create constraints in two ways. Or in a dedicated. Block Dimensions and convexity will be automatically checked. A constraint is an expression. A relation sign (. And another expression. You can also index constraints. Valid constraints have one of three forms:. Constraint on sum of indexed variables. Constraint on fourth and fifth elements of z:. For convenience, you can also use two-sided constraints of the following form:.

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cvxgen.com

CVXGEN: Code Generation for Convex Optimization

CVXGEN: Code Generation for Convex Optimization. CVXGEN generates fast custom code for small, QP-representable convex optimization problems, using an online interface with no software installation. With minimal effort, turn a mathematical problem description into a high speed solver. Describe your LP or convex QP. Describe your small, quadratic program (QP) representable problem with a simple, powerful language. Automatically generate a custom solver. Solve your problems up to 10,000 times faster. CVXGEN...

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