Man pages for convexjlr
Disciplined Convex Programming in R using 'Convex.jl'

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