Compiles and solves the problem using the specified method. Populates the :code:`status` and :code:`value` attributes on the problem

Equivalent to `cp.sum(self, axis, keepdims)`.

\returns the number of rows */

Run all derivative checks and assert correctness.

Convert to dense array (stacked) for compatibility.

Equivalent to `cp.prod(self, axis, keepdims)`.

\returns a vector expression of the \a i -th column, * only the meaningful part is returned. * \warning the internal storage must be colum

Vectorizes the expression. order: column-major ('F') or row-major ('C') order.

Returns [A b].

Get a value from inverse_data, returning default if not found. This method provides dictionary-like access compatible with code that

Wrapper for Sum class.

\returns the row index of the current coefficient.

\returns the value of the current coefficient.

Returns a shallow copy of the object. Used to reconstruct an object tree. Parameters ---------- args : list, optiona

\returns the number of transpositions */

Is the expression affine?

Given views (A0,b0), (A1,b1),..., (An,bn), first, stack them along axis 0 via hstack. Then, permute the rows of the resulting tensor

Concatenate multiple tensors along a specified axis. This method performs the concatenation of multiple tensors, following NumPy's behavior.

Equivalent to `cp.max(self, axis, keepdims)`.

Equivalent to `cp.trace(self)`.

Given views (A0,b0), (A1,b1),..., (An,bn), stack all tensors along axis 0, i.e., return (A0, b0) A1, b1 ...

\returns an expression of the transposed of the factored matrix. * * A typical usage is to solve for the transposed problem A^T x = b:

Equivalent to `cp.reshape(self, shape, order)`.

Is the expression constant?

\returns the value of the matrix at position \a i, \a j * This function returns Scalar(0) if the element is an explicit \em zero */

A PSD constraint is DCP if the constrained expression is affine.

Returns the problem data used in the call to the solver. When a problem is solved, CVXPY creates a chain of reductions enclosed in a

\returns an expression of the adjoint of the factored matrix * * A typical usage is to solve for the adjoint problem A' x = b: * \co

Extracts the diagonal from a matrix or makes a vector a diagonal matrix. Parameters ---------- expr : Expression or numeric constant

Clear any existing decomposition * \sa rankUpdate(w,sigma) */