
Package index
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Variable() - Create an Optimization Variable
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Parameter() - Create a Parameter
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Constant() - Create a Constant Expression
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Problem() - Create an Optimization Problem
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Minimize() - Create a Minimization Objective
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Maximize() - Create a Maximization Objective
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Equality() - Create an Equality Constraint
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Inequality() - Create an Inequality Constraint
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NonNeg() - Create a Non-Negative Constraint
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NonPos() - Create a Non-Positive Constraint
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Zero() - Create a Zero Constraint
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PSD() - Create a Positive Semidefinite Constraint
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ExpCone() - Create an Exponential Cone Constraint
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SOC() - Create a Second-Order Cone Constraint
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PowCone3D() - Create a 3D Power Cone Constraint
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PowConeND() - Create an N-Dimensional Power Cone Constraint
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FiniteSet() - FiniteSet Constraint
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psolve() - Solve a Convex Optimization Problem
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value() - Get the Numeric Value of an Expression
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`value<-`() - Set the Value of a Leaf Expression
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dual_value() - Get the Dual Value of a Constraint
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status() - Get the Solution Status of a Problem
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solution() - Get the Raw Solution Object
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problem_data() - Get Problem Data for a Solver
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solve_via_data() - Solve via Raw Data
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problem_unpack_results() - Unpack Solver Results into a Problem
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unpack_results()deprecated - Unpack Results (backward-compatible alias)
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solver_stats() - Get Solver Statistics
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solver_opts() - Create Solver Options
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solver_default_param() - Standard Solver Parameter Mappings
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installed_solvers() - List installed solvers
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available_solvers()exclude_solvers()include_solvers()set_excluded_solvers() - List available solvers
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residual() - Get the Residual of a Constraint
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violation() - Get the Violation of a Constraint
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OPTIMALINFEASIBLEUNBOUNDEDSOLVER_ERROROPTIMAL_INACCURATEINFEASIBLE_INACCURATEUNBOUNDED_INACCURATEUSER_LIMITINFEASIBLE_OR_UNBOUNDED - Solution Status Constants
Math and standard function dispatch
Standard R functions that work directly on CVXR expressions. abs, exp, log, sqrt, sum, max, min (group generics); norm, mean, diff (S4 generics); sd, var, outer (masking wrappers).
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entr() - Create an entropy atom -x * log(x)
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huber() - Create a Huber loss atom
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inv_pos() - Inverse position: \(x^{-1}\) (for x > 0)
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kl_div() - KL Divergence: x*log(x/y) - x + y
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log1p_atom()log1p_expr() - Log(1 + x) – elementwise
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logistic() - Logistic function: log(1 + exp(x)) – elementwise
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loggamma() - Elementwise log of the gamma function
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log_normcdf() - Elementwise log of the standard normal CDF
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neg() - Negative part: -min(x, 0)
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pos() - Positive part: max(x, 0)
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power() - Create a Power atom
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scalene() - Scalene penalty: alpha * pos(x) + beta * neg(x)
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square() - Square of an expression: x^2
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xexp() - x * exp(x) – elementwise
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sum_entries() - Sum the entries of an expression
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max_entries() - Maximum entry of an expression
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min_entries() - Minimum entry of an expression
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max_elemwise() - Elementwise maximum of expressions
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min_elemwise() - Elementwise minimum of expressions
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cumsum_axis() - Cumulative sum along an axis
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cummax_expr() - Cumulative maximum along an axis
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prod_entries() - Product of entries along an axis
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log_sum_exp() - Log-sum-exp: log(sum(exp(x)))
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sum_squares() - Sum of squares (= quad_over_lin(x, 1))
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sum_largest() - Sum of k largest entries
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sum_smallest() - Sum of k smallest entries
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geo_mean() - (Weighted) geometric mean of a vector
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harmonic_mean() - Harmonic mean: n / sum(1/x_i)
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ptp() - Peak-to-peak (range): max(x) - min(x)
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cvxr_mean() - Mean of an expression
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cvxr_std()std() - Standard deviation of an expression
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cvxr_var() - Variance of an expression
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cvar() - Conditional Value at Risk (CVaR)
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cvxr_norm() - Compute a norm of an expression
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p_norm() - General p-norm of an expression
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norm1() - L1 norm of an expression
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norm2()deprecated - Euclidean norm (deprecated alias)
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norm_inf() - L-infinity norm of an expression
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norm_nuc() - Nuclear norm (sum of singular values)
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mixed_norm() - Mixed norm (\(L_{p,q}\) norm): column-wise p-norm, then q-norm
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quad_form() - Quadratic form x^T P x
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quad_over_lin() - Sum of squares divided by a scalar
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matrix_frac() - Matrix fractional function
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bmat() - Construct a Block Matrix
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conv() - 1D discrete convolution
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DiagMat() - Extract Diagonal from a Matrix
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DiagVec() - Vector to Diagonal Matrix
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hstack() - Horizontal concatenation of expressions
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vstack() - Vertical concatenation of expressions
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kron() - Kronecker product of two expressions
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lambda_max() - Maximum eigenvalue
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lambda_min() - Minimum eigenvalue
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lambda_sum_largest() - Sum of largest k eigenvalues
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lambda_sum_smallest() - Sum of smallest k eigenvalues
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log_det() - Log-determinant
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matrix_trace() - Trace of a square matrix expression
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partial_trace() - Partial trace of a tensor product expression
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partial_transpose() - Partial transpose of a tensor product expression
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reshape_expr() - Reshape an expression to a new shape
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sigma_max() - Maximum singular value
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upper_tri() - Extract strict upper triangle of a square matrix
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vec() - Vectorize an expression (column vector)
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vec_to_upper_tri() - Reshape a vector into an upper triangular matrix
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multiply()deprecated - Elementwise multiplication (deprecated)
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vdot() - Vector dot product (inner product)
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scalar_product() - Scalar product (alias for vdot)
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cvxr_outer() - Outer product of two vectors
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dotsort() - Weighted sorted dot product
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inv_prod() - Reciprocal of product of entries
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tr_inv() - Trace of matrix inverse
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total_variation() - Total variation of a vector or matrix
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tv()deprecated - Total variation (deprecated alias)
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cvxr_diff() - Compute kth Order Differences of an Expression
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perspective() - Perspective Transform
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diff_pos() - The difference x - y with domain x > y > 0
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resolvent() - Resolvent inverse(sI - X)
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one_minus_pos() - The difference 1 - x with domain (0, 1)
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eye_minus_inv() - Unity resolvent (I - X) inverse for positive square matrix X
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pf_eigenvalue() - Perron-Frobenius eigenvalue of a positive matrix
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gmatmul() - Geometric matrix multiplication A diamond X
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ceil_expr() - Elementwise Ceiling
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floor_expr() - Elementwise Floor
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condition_number() - Condition number of a PSD matrix
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gen_lambda_max() - Maximum generalized eigenvalue
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dist_ratio() - Distance ratio
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indicator() - Indicator function for constraints
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curvature() - Get Expression Curvature
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expr_sign() - Get the DCP Sign of an Expression
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is_affine() - Check if an Expression is Affine
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is_concave() - Check if an Expression is Concave
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is_constant() - Check if an Expression is Constant
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is_convex() - Check if an Expression is Convex
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is_dcp() - Check if an Expression is DCP-Compliant
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is_dgp() - Check if a Constraint is DGP-Compliant
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is_dpp() - Check DPP Compliance
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is_dqcp() - Check if Expression is DQCP-Compliant
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is_log_log_affine() - Check if Expression is Log-Log Affine
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is_log_log_concave() - Check if Expression is Log-Log Concave
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is_log_log_convex() - Check if Expression is Log-Log Convex
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is_lp() - Check if a Problem is a Linear Program
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is_matrix() - Is the Expression a Matrix?
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is_mixed_integer() - Check if a Problem is Mixed-Integer
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is_nonneg() - Check if Expression is Non-Negative
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is_nonpos() - Check if Expression is Non-Positive
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is_nsd() - Check if Expression is Negative Semidefinite
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is_psd() - Check if Expression is Positive Semidefinite
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is_pwl() - Check if Expression is Piecewise Linear
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is_qp() - Check if a Problem is a Quadratic Program
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is_quadratic() - Check if an Expression is Quadratic
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is_quasiconcave() - Check if Expression is Quasiconcave
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is_quasiconvex() - Check if Expression is Quasiconvex
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is_quasilinear() - Check if Expression is Quasilinear
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is_scalar() - Is the Expression a Scalar?
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is_symmetric() - Check if Expression is Symmetric
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is_vector() - Is the Expression a Vector?
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is_zero() - Check if Expression is Zero
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length_expr() - Length of a Vector (Last Nonzero Index)
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size() - Get Expression Size
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name() - Get Expression Name
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id() - Get Expression ID
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set_label() - Set a Label on a Constraint
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objective() - Get Problem Objective (read-only)
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constraints() - Get Problem Constraints (read-only)
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variables() - Get the Variables in an Expression
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parameters() - Get the Parameters in an Expression
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constants() - Get the Constants in an Expression
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as_cvxr_expr() - Convert a value to a CVXR Expression
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visualize() - Visualize the Canonicalization Pipeline of a CVXR Problem
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to_latex() - Convert CVXR Object to LaTeX
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expr_H() - Conjugate-Transpose of an Expression
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make_sparse_diagonal_matrix() - Make a CSC sparse diagonal matrix
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rel_entr() - Relative Entropy: x*log(x/y)
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get_problem_data()deprecated - Get Problem Data for a Solver (deprecated)
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problem_status()deprecated - Get the Solution Status of a Problem (deprecated)
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problem_solution()deprecated - Get the Raw Solution Object (deprecated)