eval_cs_jac: Jacobian (partial derivative matrix) for the inequalities
In nevilamos/FAMEFMR: Functions For DELWP FAME Fire Analysis
View source: R/GSOFunc_eval_js_jac.R
eval_cs_jac R Documentation
Jacobian (partial derivative matrix) for the inequalities
Description
Jacobian (partial derivative matrix) for the inequalities
Usage
eval_cs_jac(x, spp)
Arguments
x
a list/column, e.g. run$solution,
spp
a data.frame, usually data or option data.frame
Details
Internal GSO function. Used within gso(), an input for nloptr()
Since each constraint is linear, the Jacobian is the coefficients of each
variable in eval_cs(). Calculates the coefficient for each variable in eval_cs()
Value
returns a vector
nevilamos/FAMEFMR documentation built on April 17, 2025, 9:32 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/GSOFunc_eval_js_jac.R
| eval_cs_jac | R Documentation |
Jacobian (partial derivative matrix) for the inequalities
Description
Jacobian (partial derivative matrix) for the inequalities
Usage
eval_cs_jac(x, spp)
Arguments
x |
a list/column, e.g. run$solution, |
spp |
a data.frame, usually data or option data.frame |
Details
Internal GSO function. Used within gso(), an input for nloptr()
Since each constraint is linear, the Jacobian is the coefficients of each variable in eval_cs(). Calculates the coefficient for each variable in eval_cs()
Value
returns a vector
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.