>> help clp clp Solve a LP or QP using clp THIS IS A LOW LEVEL FUNCTION - USE opti_clp() INSTEAD! clp uses the Coin-Or Linear Programming library. [x,fval,exitflag,iter,lambda] = clp(H, f, A, rl, ru, lb, ub, opts) Input arguments: H - quadratic objective matrix (sparse, tril, optional) f - linear objective vector A - linear constraint matrix (sparse) rl - linear constraint lhs ru - linear constraint rhs lb - decision variable lower bounds (optional) ub - decision variable upper bounds (optional) opts - solver options (see below) Return arguments: x - solution vector fval - objective value at the solution exitflag - exit status (see below) iter - number of iterations taken by the solver lambda - structure of dual information Option Fields (all optional - see clpset): algorithm - Solver algorithm (DualSimplex 0, PrimalSimplex 1, PrimalSimplexOrSprint 2, Barrier 3, BarrierNoCross 4, Automatic {5}) primalTol - Primal Tolerance dualTol - Dual Tolerance maxiter - maximum solver iterations maxtime - maximum execution time [s]
>> ops = clpset
ops =
struct with fields:
algorithm: 'automatic' primalTol: 1.0000e-07 dualTol: 1.0000e-07 doPresolve: 1 numPresolvePasses: 5 factorFreq: [] numberRefinements: 0 primalObjLim: Inf dualObjLim: Inf numThreads: 1 abcState: []
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