if ((attendance >= 0.90) & (grade_average >= 60))Įvery element of A is less than that same element of B with 1 added.In this example, if both of the conditions are satisfied, then the student passes the course. If the evaluated expression yields a nonscalar value, then every element of this value must be true or nonzero for the entire expression to be considered true. Statements is one or more MATLAB statements to be executed only if the expression is true or nonzero. When using elseif and/or else within an if statement, the general form of the statement isĮxpression is a MATLAB expression, usually consisting of variables or smaller expressions joined by relational operators (e.g., count = 0)
When nesting ifs, each if must be paired with a matching end. MATLAB evaluates the expression and, if the evaluation yields a logical true or nonzero result, executes one or more MATLAB commands denoted here as statements. If (MATLAB Functions) MATLAB Function Reference The same problem statement in Brief Format :
However we should point out that the word ifelse must be typed as a single word ( C++ supports a separated spelling as else if because the use of curly brackets clarifies the block.
'Box_of_Variables: lowerbounds = point_lowerbounds' . MATLAB supports the multiple branching if statements which use the structure if elseif elseif. 'Constraint: constraint_return, lower_bound = 4.5'. 'Constraint: constraint_budget, lower_bound = 1, upper_bound = 1'. ' cvar_risk_example(0.95, matrix_scenarios)'. 'Problem: Problem_cvar, type = minimize'. ĭefine problem statement as a string in MATLAB for minimization of Conditional Value-at-Risk described in Quick Start with PSG MATLAB. Description of the main sections are the same as for Full Format of Calculate Problem. denotes names of PSG Point (for details see Solver in Text Format, Optimization Solvers in MATLAB).Īll sections except “ Problem: ” are optional.īrief Format of Optimization Problem has the following format:īrief Format of Calculate Problem is obtained from Full Format by dropping "inessential" for the calculation process information. Solver: [" defines number of stages during solving optimization problem "timelimit = " sets the time limit in seconds to cut down the optimization process "init_point = " is used for specifying initial point in the optimization process.
0 kommentar(er)
