All functions
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Expr()
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Create expressions to be used for optimization problem creation |
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J()
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Make a variable to be of Julia's awareness |
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addConstraint()
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Add constraints to optimization problem |
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convex_setup()
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Doing the setup for the package convexjlr |
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cvx_optim()
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Solve optimization problem |
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dot()
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Inner product |
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dotsort()
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Inner product of two vectors after sorted |
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entropy()
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sum(-x * log(x)) |
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geomean()
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Geometric mean of x and y |
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huber()
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Huber loss |
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lambdamax()
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Largest eigenvalues of x |
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lambdamin()
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Smallest eigenvalues of x |
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logdet()
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Log of determinant of x |
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logisticloss()
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log(1 + exp(x)) |
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logsumexp()
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log(sum(exp(x))) |
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matrixfrac()
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x^T P^-1 x |
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maximum()
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Largest elements |
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minimum()
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Smallest elements |
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neg()
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Negative parts |
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norm()
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p-norm of x |
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nuclearnorm()
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Sum of singular values of x |
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operatornorm()
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Largest singular value of x |
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pos()
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Positive parts |
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minimize() maximize() satisfy()
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Create optimization problem |
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status() optval()
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Get properties of optimization problem |
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quadform()
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x^T P x |
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square()
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Square of x |
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sumlargest()
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Sum of the largest elements |
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sumsmallest()
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Sum of the smallest elements |
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sumsquares()
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Sum of squares of x |
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tr()
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Trace of matrix |
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value()
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Get values of expressions at optimizer |
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Variable() Semidefinite()
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Create variable for optimization problem |
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vec()
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Vector representation |
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vecdot()
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Inner product of vector representation of two matrices |
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vecnorm()
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p-norm of vector representation of x |