ascii() |
Let PICOS create future string representations using only ASCII characters. |
ball(r[, p]) |
returns a Ball object representing: |
default_charset([rebuildDerivedGlyphs]) |
Let PICOS create future string representations using unicode characters. |
detrootn(exp) |
returns a DetRootN_Exp object representing the determinant of the  th-root of the symmetric matrix exp, where is the dimension of the matrix. |
diag(exp[, dim]) |
if exp is an affine expression of size (n,m), diag(exp,dim) returns a diagonal matrix of size dim*n*m  dim*n*m, with dim copies of the vectorized expression exp[:] on the diagonal. |
diag_vect(exp) |
Returns the vector with the diagonal elements of the matrix expression exp |
exp(x) |
Exponentiation of a PICOS, CVXOPT, NumPy, or numeric expression. |
expcone() |
returns a ExponentialCone object representing the set  |
flow_Constraint(G, f, source, sink, flow_value) |
Constructs a network flow constraint. |
geomean(exp) |
returns a GeoMeanExp object representing the geometric mean of the entries of exp[:]. |
get_version_info() |
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import_cbf(filename) |
Imports the data from a CBF file, and creates a Problem object. |
kron(A, B) |
Kronecker product of 2 expression, at least one of which must be constant |
kullback_leibler(x[, y]) |
A shorthand for KullbackLeibler. |
lambda_max(exp) |
largest eigenvalue of a square matrix expression (cf. |
lambda_min(exp) |
smallest eigenvalue of a square matrix expression (cf. |
latin1([rebuildDerivedGlyphs]) |
Let PICOS create future string representations using ISO 8859-1 characters. |
log(x) |
The logarithm of a PICOS, CVXOPT, NumPy, or numeric expression. |
logsumexp(exp) |
A shorthand for LogSumExp. |
lse(exp) |
A shorthand for LogSumExp. |
new_param(name, value) |
Declare a parameter for the problem, that will be stored as a cvxopt sparse matrix. |
norm(exp[, num, denom]) |
returns a NormP_Exp object representing the (generalized-) p-norm of the entries of exp[:]. |
partial_trace(X[, k, dim]) |
Partial trace of an Affine Expression, with respect to the k th subsystem for a tensor product of dimensions dim. |
partial_transpose(exp[, dims_1, subsystems, …]) |
Partial transpose of an Affine Expression, with respect to given subsystems. |
simplex([gamma]) |
returns a TruncatedSimplex object representing the set  . |
sum(lst[, it, indices]) |
This is a replacement for Python’s sum that produces sensible string representations when summing PICOS expressions. |
sum_k_largest(exp, k) |
returns a Sum_k_Largest_Exp object representing the sum of the k largest elements of an affine expression exp. |
sum_k_largest_lambda(exp, k) |
returns a Sum_k_Largest_Exp object representing the sum of the k largest eigenvalues of a square matrix affine expression exp. |
sum_k_smallest(exp, k) |
returns a Sum_k_Smallest_Exp object representing the sum of the k smallest elements of an affine expression exp. |
sum_k_smallest_lambda(exp, k) |
returns a Sum_k_Smallest_Exp object representing the sum of the k smallest eigenvalues of a square matrix affine expression exp. |
sumexp(x[, y]) |
A shorthand for SumExponential. |
trace(exp) |
trace of a square AffinExp |
tracepow(exp[, num, denom, coef]) |
Returns a TracePow_Exp object representing the trace of the pth-power of the symmetric matrix exp, where exp is an AffinExp which we denote by  . |
truncated_simplex([gamma, sym]) |
returns a TruncatedSimplex object representing the set: |
unicode([rebuildDerivedGlyphs]) |
Let PICOS create future string representations using unicode characters. |