Squared residual norm, returned as a nonnegative scalar. Equal to norm(C*x-d)^2. residual— Residual real vector Residual, returned as a real vector. The residual is d - C*x. exitflag— Reason lsqnonneg stopped integer Reason lsqnonneg stopped, returned as an integer. 1 Function converged...
This example shows how to use several algorithms to solve a linear least-squares problem with the bound constraint that the solution is nonnegative. A linear least-squares problem has the form minx‖Cx−d‖2. In this case, constrain the solution to be nonnegative, x≥0....
这时,我们可以在代码中使用nonnegative选项来保证解的非负性。 下面,我将以三个具体的应用场景来说明nonnegative选项的使用方法。 首先,是最小二乘问题(Least Squares Problem)。在最小二乘问题中,我们试图找到一组参数,使得拟合的模型与实际观测值的平方误差最小。然而,在某些情况下,我们可能需要确保这些参数是非...
For more information, see Large Scale Nonlinear Least Squares. PrecondBandWidth Upper bandwidth of preconditioner for PCG, a nonnegative integer. The default PrecondBandWidth is Inf, which means a direct factorization (Cholesky) is used rather than the conjugate gradients (CG). The direct ...
Termination tolerance on the first-order optimality (a nonnegative scalar). The default is 1e-6. See First-Order Optimality Measure. Internally, the 'levenberg-marquardt' algorithm uses an optimality tolerance (stopping criterion) of 1e-4 times FunctionTolerance and does not use OptimalityTolerance...
nonnegative scalar Rank tolerance, specified as a nonnegative scalar. Specifying the tolerance can help prevent the solution from being susceptible to random noise in the coefficient matrix. By default,lsqminnormcomputestolbased on the QR decomposition ofA. ...
desired value of the smoothness parameterp. By providing roughness measure weights, you can make the resulting smoothing spline smoother (with larger weight values) or closer to the data (with smaller weight values) in different parts of the interval. Roughness measure weights must be nonnegative....
Polynomial degree, specified as a nonnegative integer scalar, or as "constant" (equivalent to 0) or "linear" (equivalent to 1). bp— Breakpoints vector Breakpoints to define piecewise segments of the data, specified as a vector containing one of the following: Sample point values indicating th...
5000 (default) | nonnegative scalar Number of draws to remove from the beginning of the Monte Carlo sample to reduce transient effects, specified as the comma-separated pair consisting of 'BurnIn' and a nonnegative scalar. For details on how forecast reduces the full Monte Carlo sample, see ...
Order of the estimated model, specified as a nonnegative integer or as a vector containing a range of positive integers. If you already know what order you want your estimated model to have, specify nx as a scalar. If you want to compare a range of potential orders to choose the most ...