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-rw-r--r--tests/general_tests/fmincon/fmincon_logical10.sce47
-rw-r--r--tests/general_tests/fmincon/fmincon_logical12.sce14
-rw-r--r--tests/general_tests/fmincon/fmincon_logical13.sce19
-rw-r--r--tests/general_tests/fmincon/fmincon_logical14.sce26
-rw-r--r--tests/general_tests/fmincon/fmincon_logical4.sce2
-rw-r--r--tests/general_tests/fmincon/fmincon_logical7.sce2
-rw-r--r--tests/general_tests/lsqnonlin/lsqnonlin_A1.sce19
-rw-r--r--tests/general_tests/lsqnonlin/lsqnonlin_logical1.sce7
8 files changed, 94 insertions, 42 deletions
diff --git a/tests/general_tests/fmincon/fmincon_logical10.sce b/tests/general_tests/fmincon/fmincon_logical10.sce
index 45ffdf3..999ee2c 100644
--- a/tests/general_tests/fmincon/fmincon_logical10.sce
+++ b/tests/general_tests/fmincon/fmincon_logical10.sce
@@ -13,7 +13,7 @@ lb=[];
ub=[];
//Nonlinear constraints
function [c,ceq]=nlc(x)
-c = [x(1)^2 - x(2)^2 + x(3)^2 - 2 , x(1)^2 + x(2)^2 + x(3)^2 - 10];
+c = [x(1)^2 - x(2)^2 + x(3)^2 - 2 ; x(1)^2 + x(2)^2 + x(3)^2 - 10]';
ceq = [];
endfunction
@@ -23,44 +23,11 @@ y= obj*[0,1,0;1,0,1;0,1,0] + lambda(1)*[2,0,0;0,-2,0;0,0,2] + lambda(2)*[2,0,0;0
endfunction
//Options
-options=list("MaxIter", [1500], "CpuTime", [500], "Hessian", lHess);
+options=list("MaxIter", [100], "CpuTime", [500], "Hessian", lHess);
-//Output
-//Optimal Solution Found.
-// hessian =
-//
-// 1.4142136 1.72D-322 2.12D-314
-// 1. 0. 5.82D+252
-// 1. 1.4142136 1.
-// gradient =
-//
-// 2.236068 - 3.1622776 2.236068
-// lambda =
-//
-// lower: [0,0,0]
-// upper: [0,0,0]
-// ineqlin: [0x0 constant]
-// eqlin: [0x0 constant]
-// ineqnonlin: [4.545D-09,0.7071068]
-// eqnonlin: [0x0 constant]
-// output =
-//
-// Iterations: 23
-// Cpu_Time: 0.164
-// Objective_Evaluation: 24
-// Dual_Infeasibility: 6.124D-08
-// Message: "Optimal Solution Found"
-// exitflag =
-//
-// 0
-// fopt =
-//
-// - 7.0710678
-// xopt =
-//
-// - 1.5811388
-// 2.236068
-// - 1.5811388
-
-//Calling Ipopt
+//Calling fmincon
[xopt,fopt,exitflag,output,lambda,gradient,hessian] =fmincon(f, x0,A,b,Aeq,beq,lb,ub,nlc,options)
+disp(xopt,fopt,exitflag,output,lambda,gradient,hessian)
+disp("2nd")
+[xopt,fopt,exitflag,output,lambda,gradient,hessian] =fmincon(f, x0,A,b,Aeq,beq,lb,ub,nlc)
+disp(xopt,fopt,exitflag,output,lambda,gradient,hessian)
diff --git a/tests/general_tests/fmincon/fmincon_logical12.sce b/tests/general_tests/fmincon/fmincon_logical12.sce
new file mode 100644
index 0000000..325cd2c
--- /dev/null
+++ b/tests/general_tests/fmincon/fmincon_logical12.sce
@@ -0,0 +1,14 @@
+ // Example with objective function and inequality constraints
+function y=fun(x)
+ k=1
+ y=0
+ for i = 1:20
+ y = y + exp(x(i))
+ end
+endfunction
+x0 = [repmat(1,1,20)];
+A=[-1,-5,-3 repmat(0,1,17); -0.5,-2.5 -1.5 repmat(0,1,17);];
+b=[-100 -50]';
+lb = repmat(0,1,20);
+k = 0
+[xopt,fopt,exitflag,output,lambda,gradient,hessian] = fmincon (fun, x0,A,b,[],[],lb,[])
diff --git a/tests/general_tests/fmincon/fmincon_logical13.sce b/tests/general_tests/fmincon/fmincon_logical13.sce
new file mode 100644
index 0000000..3c6b87d
--- /dev/null
+++ b/tests/general_tests/fmincon/fmincon_logical13.sce
@@ -0,0 +1,19 @@
+// Example with objective function and inequality constraints
+
+function y=fun(x)
+ y=0
+ for i = 1:20
+ y = y + exp(x(i))
+ end
+endfunction
+
+x0 = repmat(1,1,20);
+lb = repmat(0,1,20);
+
+//Nonlinear constraints
+function [c,ceq]=nlc(x)
+c = [- 0.5*exp(x(1)) - 2.5*exp(x(2)) - 1.5*exp(x(3)) + 50];
+ceq = [];
+endfunction
+
+[xopt,fopt,exitflag,output,lambda,gradient,hessian] = fmincon (fun, x0,[],[],[],[],lb,[],nlc)
diff --git a/tests/general_tests/fmincon/fmincon_logical14.sce b/tests/general_tests/fmincon/fmincon_logical14.sce
new file mode 100644
index 0000000..2febc72
--- /dev/null
+++ b/tests/general_tests/fmincon/fmincon_logical14.sce
@@ -0,0 +1,26 @@
+// Example with objective function and inequality constraints
+
+function y=fun(x)
+ y=0
+ for i = 1:20
+ y = y + exp(x(i))
+ end
+endfunction
+
+x0 = repmat(1,1,20);
+lb = repmat(0,1,20);
+
+A=[-1,-5,-3 repmat(0,1,17); -0.5,-2.5 -1.5 repmat(0,1,17);];
+b=[-100 -50]';
+
+//Nonlinear constraints
+function [c,ceq]=nlc(x)
+ cfor = 0;
+ for i = 1:20
+ cfor = cfor + 2*exp(x(i))
+ end
+ c = [ cfor + 1];
+ ceq = [];
+endfunction
+
+[xopt,fopt,exitflag,output,lambda,gradient,hessian] = fmincon (fun, x0,A,b,[],[],lb,[],nlc)
diff --git a/tests/general_tests/fmincon/fmincon_logical4.sce b/tests/general_tests/fmincon/fmincon_logical4.sce
index 31221c8..09b2b36 100644
--- a/tests/general_tests/fmincon/fmincon_logical4.sce
+++ b/tests/general_tests/fmincon/fmincon_logical4.sce
@@ -13,7 +13,7 @@ lb = [0 0]
ub = [2 1.5]
function [c,ceq]=nlc(x)
-c = [x(1)^2 - x(2)^2 + 0.5 , x(1)^2 + x(2)^2 - 2.5];
+c = [x(1)^2 - x(2)^2 + 0.5 ; x(1)^2 + x(2)^2 - 2.5];
ceq = [];
endfunction
diff --git a/tests/general_tests/fmincon/fmincon_logical7.sce b/tests/general_tests/fmincon/fmincon_logical7.sce
index 48d83b4..36c6ae3 100644
--- a/tests/general_tests/fmincon/fmincon_logical7.sce
+++ b/tests/general_tests/fmincon/fmincon_logical7.sce
@@ -1,7 +1,7 @@
// Example with objective function using exponential input
function y=fun(x)
-y=exp(x(2)*x(1));
+ y=exp(x(2)*x(1));
endfunction
x0 = [1,2];
diff --git a/tests/general_tests/lsqnonlin/lsqnonlin_A1.sce b/tests/general_tests/lsqnonlin/lsqnonlin_A1.sce
new file mode 100644
index 0000000..1c2128b
--- /dev/null
+++ b/tests/general_tests/lsqnonlin/lsqnonlin_A1.sce
@@ -0,0 +1,19 @@
+// Check for elements in A
+C = [2 0;
+ -1 1;
+ 0 2]
+d = [1
+ 0
+ -1];
+A = [10 -2 0;
+ -2 10 0];
+b = [4
+ -4];
+
+//Error
+//lsqlin: The number of columns in A must be the same as the number of columns in C
+//at line 213 of function lsqlin called by :
+//[xopt,resnorm,residual,exitflag,output,lambda] = lsqlin(C,d,A,b)
+
+[xopt,resnorm,residual,exitflag,output,lambda] = lsqlin(C,d,A,b)
+
diff --git a/tests/general_tests/lsqnonlin/lsqnonlin_logical1.sce b/tests/general_tests/lsqnonlin/lsqnonlin_logical1.sce
new file mode 100644
index 0000000..aef546f
--- /dev/null
+++ b/tests/general_tests/lsqnonlin/lsqnonlin_logical1.sce
@@ -0,0 +1,7 @@
+function retF = testmyfun(x)
+ km = [1:10]';
+ retF = 2 + 2*km-exp(km*x(1))-exp(km*x(2));
+endfunction
+
+x0 = [0.3 0.4]'
+[x,resnorm] = lsqnonlin(testmyfun,x0)