2_monotonicity_boundedness/interactive_examples.ipynb

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    "## example 2: infimum, supremum, max, and min of a 2D function\n",
    "\n",
    "(a) Find the inf and sup of the function\n",
    "\n",
    "$$\n",
    "f(x_1,x_2) = a x_1 + bx_2\n",
    "$$\n",
    "\n",
    "over the set \n",
    "\n",
    "$$\n",
    "\\mathcal{D} = \\left\\{x:x_1^2 + x_2^2 \\le 1, x_1>0, x_2>0\\right\\}\n",
    "$$\n",
    "\n",
    "---\n",
    "\n",
    "We examine the 2D function by plotting its isocontours and the set $\\mathcal{D}$. Note that dotted lines $\\not\\in \\mathcal{D}$"
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    "Consider the isocontours $a x_1+b x_2 = c$. The line with the biggest value $c$ (least upper bound) is tangent to the circle \n",
    "\\begin{equation}\n",
    "\\tag{1}\n",
    "x_1^2 + x_2^2 = 1\n",
    "\\end{equation}\n",
    "The radial vector starting the center of the circle $(0,0)$ is perpendicular to this tangent. \n",
    "\n",
    "The slope of the line for this vector is $m = \\dfrac{b}{a}$, since the slope of $a x_1+b x_2 = c \\rightarrow x_2 = \\dfrac{c}{b} - \\dfrac{a}{b}x_1$ is $m = -\\dfrac{a}{b}$. \n",
    "\n",
    "The y-intercept is $b=0$ and the equation of the perpendicular line becomes:\n",
    "\n",
    "\\begin{equation}\n",
    "\\tag{2}\n",
    "x_2 = \\dfrac{b}{a}x_1\n",
    "\\end{equation}\n",
    "\n",
    "Solving Equations (1) and (2) yields\n",
    "\n",
    "$$\\mathbf{x}_\\text{sup} = \\left(\\sqrt{\\dfrac{1}{1+\\frac{b^2}{a^2}}},\\sqrt{\\dfrac{1}{1+\\frac{a^2}{b^2}}}\\right)$$\n",
    "\n",
    "This is shown on the figure above.\n",
    "\n",
    "The infimum occurs at \n",
    "\n",
    "$$\\mathbf{x}_\\text{inf} = \\left(0,0\\right)$$\n",
    "\n",
    "The value of $f$ at the supremum is\n",
    "$$f(\\mathbf{x}_\\text{sup}) = \\sqrt{\\dfrac{a^2}{1+\\frac{b^2}{a^2}}} + \\sqrt{\\dfrac{b^2}{1+\\frac{a^2}{b^2}}}$$"
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          "systemjs_options": null
         },
         "nodeType": "Scope",
         "props": {},
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        }
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       "<div\n",
       "    class=\"webio-mountpoint\"\n",
       "    data-webio-mountpoint=\"8479694366504464828\"\n",
       ">\n",
       "    <script>\n",
       "    (function(){\n",
       "    // Some integrations (namely, IJulia/Jupyter) use an alternate render pathway than\n",
       "    // just putting the html on the page. If WebIO isn't defined, then it's pretty likely\n",
       "    // that we're in one of those situations and the integration just isn't installed\n",
       "    // correctly.\n",
       "    if (typeof window.WebIO === \"undefined\") {\n",
       "        document\n",
       "            .querySelector('[data-webio-mountpoint=\"8479694366504464828\"]')\n",
       "            .innerHTML = (\n",
       "                '<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb; font-weight: bold;\">' +\n",
       "                '<p><strong>WebIO not detected.</strong></p>' +\n",
       "                '<p>Please read ' +\n",
       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
       "                '</div>'\n",
       "            );\n",
       "        return;\n",
       "    }\n",
       "    WebIO.mount(\n",
       "        document.querySelector('[data-webio-mountpoint=\"8479694366504464828\"]'),\n",
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      }
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     "output_type": "execute_result"
    }
   ],
   "source": [
    "using Plots,Interact,LaTeXStrings\n",
    "\n",
    "# independent parameters\n",
    "x1 = LinRange(-0.1,1.2,100)\n",
    "x2 = LinRange(-0.1,1.2,100)\n",
    "gr()\n",
    "\n",
    "ui = @manipulate throttle=.05 for a=1:0.1:5, b=1:0.1:5\n",
    "    # dependant variables\n",
    "    f(x1,x2) = a*(x1) + b*(x2)\n",
    "\n",
    "    # constraint function\n",
    "    y_cstr(x1) = sqrt(1 - x1^2)\n",
    "\n",
    "    # maximum\n",
    "    x_sup = [sqrt(1 / (1 + (b/a) ^ 2)),sqrt(1 / (1 + (a/b) ^ 2))]\n",
    "    x_inf = [0,0]\n",
    "\n",
    "    # optimum isocontours\n",
    "    f_sup = a*x_sup[1] + b*x_sup[2]\n",
    "    y_iso(x1) = (f_sup - a*x1) / b\n",
    "    y_iso_perpindicular(x1) = (b/a)*x1\n",
    "\n",
    "    contour(x1, x2, f, fill = false, levels = 5, color = \"black\", colorbar = false, contour_labels=true, size=(600,600))\n",
    "    plot!(LinRange(0,1,100), y_cstr, lw = 2, label=L\"{x_1}^2 + {x_2}^2 \\leq 1\")\n",
    "    plot!([0,1], [0,0], lw = 2, linestyle=:dash, label=L\"x_2 > 0\")\n",
    "    plot!([0,0], [0,1], lw = 2, linestyle=:dash, label=L\"x_1 > 0\")\n",
    "    plot!(LinRange(0,1,100), y_iso, lw = 3, label=L\"\\mathrm{least~upper~bound:}~ax_1 + bx_2 = f(\\mathbf{x}_\\mathrm{sup})\")\n",
    "    plot!(LinRange(0,x_sup[1],100), y_iso_perpindicular, lw = 3, label=L\"\\mathrm{perpindicular:}~\\frac{b}{a}x_1 - x_2 = 0\")\n",
    "    scatter!([x_sup[1]], [x_sup[2]], markersize = 7, label=L\"\\mathbf{x}_\\mathrm{sup}\")\n",
    "    scatter!([x_inf[1]], [x_inf[2]], markersize = 7, label=L\"\\mathbf{x}_\\mathrm{inf}\")\n",
    "    xlabel!(L\"x_1\")\n",
    "    ylabel!(L\"x_2\")\n",
    "    ylims!((-0.1,1.2))\n",
    "    xlims!((-0.1,1.2))\n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee50a75c",
   "metadata": {},
   "source": [
    "## example 3: a 3D function\n",
    "\n",
    "Does the following function \n",
    "\n",
    "$$\n",
    "f(\\mathbf{x}) = x_1^2 + \\exp{\\left(x_2\\right)} + \\exp\\left(-x_2\\right) + 3x_3^4 \n",
    "$$\n",
    "\n",
    "over the set\n",
    "\n",
    "$$\n",
    "\\mathcal{D} = \\left\\{\\mathbf{x}:a\\left(x_1 - i\\right)^2 + b\\left(x_2 - j\\right)^2 + c\\left(x_3 - k\\right)^2 \\leq 1\\right\\}\n",
    "$$\n",
    "\n",
    "---\n",
    "\n",
    "We visualize the ellipsoids that describes the boundary of the set $\\mathcal{D}$ below"
   ]
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  {
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\" />"
               },
               "type": "node"
              }
             ],
             "instanceArgs": {
              "namespace": "html",
              "tag": "div"
             },
             "nodeType": "DOM",
             "props": {
              "className": "interact-flex-row interact-widget"
             },
             "type": "node"
            }
           }
          },
          "systemjs_options": null
         },
         "nodeType": "Scope",
         "props": {},
         "type": "node"
        }
       ],
       "instanceArgs": {
        "namespace": "html",
        "tag": "div"
       },
       "nodeType": "DOM",
       "props": {},
       "type": "node"
      },
      "text/html": [
       "<div\n",
       "    class=\"webio-mountpoint\"\n",
       "    data-webio-mountpoint=\"14853256009231910507\"\n",
       ">\n",
       "    <script>\n",
       "    (function(){\n",
       "    // Some integrations (namely, IJulia/Jupyter) use an alternate render pathway than\n",
       "    // just putting the html on the page. If WebIO isn't defined, then it's pretty likely\n",
       "    // that we're in one of those situations and the integration just isn't installed\n",
       "    // correctly.\n",
       "    if (typeof window.WebIO === \"undefined\") {\n",
       "        document\n",
       "            .querySelector('[data-webio-mountpoint=\"14853256009231910507\"]')\n",
       "            .innerHTML = (\n",
       "                '<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb; font-weight: bold;\">' +\n",
       "                '<p><strong>WebIO not detected.</strong></p>' +\n",
       "                '<p>Please read ' +\n",
       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
       "                '</div>'\n",
       "            );\n",
       "        return;\n",
       "    }\n",
       "    WebIO.mount(\n",
       "        document.querySelector('[data-webio-mountpoint=\"14853256009231910507\"]'),\n",
       "        {\"props\":{},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{\"className\":\"field interact-widget\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{},\"nodeType\":\"Scope\",\"type\":\"node\",\"instanceArgs\":{\"imports\":{\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"\\/assetserver\\/20cce38a6bc75cb66614a08cf930b86c837ffd26-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"\\/assetserver\\/8d652c3c0960a100b10e7cf877d366d3ee5f8d17-knockout_punches.js\"},{\"name\":null,\"type\":\"js\",\"url\":\"\\/assetserver\\/e28cb7a16dbff5497a9bbe4586c29915da3910d4-all.js\"},{\"name\":null,\"type\":\"css\",\"url\":\"\\/assetserver\\/e42e663c53db58ec96c713d6ecc7cac24879114f-style.css\"},{\"name\":null,\"type\":\"css\",\"url\":\"\\/assetserver\\/8bcb1e0050a77122ffb2c5a8592b3e0762f6060f-bulma_confined.min.css\"}],\"type\":\"async_block\"},\"id\":\"16368258763641435314\",\"handlers\":{\"changes\":[\"(function (val){return (val!=this.model[\\\"changes\\\"]()) ? 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      ]
     },
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      }
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     "output_type": "execute_result"
    }
   ],
   "source": [
    "using LinearAlgebra\n",
    "\n",
    "# https://discourse.julialang.org/t/drawing-an-ellipsoid-to-visualize-a-tensor/31286/2?u=khbalhandawi\n",
    "function ellipsoid(center, coefs, ngrid=25)\n",
    "    # Radii corresponding to the coefficients:\n",
    "    rx, ry, rz = 1 ./ sqrt.(coefs)\n",
    "\n",
    "    # Set of all spherical angles:\n",
    "    u = range(0, 2pi, length=ngrid)\n",
    "    v = range(0, pi, length=ngrid)\n",
    "\n",
    "    # Cartesian coordinates that correspond to the spherical angles:\n",
    "    # (this is the equation of an ellipsoid):\n",
    "    x = [rx * x * y for (x, y) in  Iterators.product(cos.(u), sin.(v))]\n",
    "    y = [ry * x * y for (x, y) in Iterators.product(sin.(u), sin.(v))]\n",
    "    z = [rz * x * y for (x, y) in Iterators.product(ones(length(u)), cos.(v))]\n",
    "    return x .+ center[1], y .+ center[2], z .+ center[3]\n",
    "end\n",
    "\n",
    "ui = @manipulate throttle=.01 for a=1:0.5:5, b=1:0.5:5, c=1:0.5:5, i=-0.5:0.1:0.5, j=-0.5:0.1:0.5, k=-0.5:0.1:0.5\n",
    "    pyplot()\n",
    "    # Plot:\n",
    "    A = [a b c] # ellipse coeffs\n",
    "    C = [i j k] # ellipse center\n",
    "\n",
    "    x, y, z = ellipsoid(C, A, 25)\n",
    "    p1 = plot(x,y,z,st=:surface,camera=(-30,30), alpha=0.5, colorbar=false, \n",
    "        xlabel = L\"x_1\", ylabel = L\"x_2\", zlabel = L\"x_3\")\n",
    "    ylims!((-1.2,1.2))\n",
    "    xlims!((-1.2,1.2))\n",
    "    zlims!((-1.2,1.2))\n",
    "end\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6abe7490",
   "metadata": {},
   "source": [
    "## Example of interior optima (inactive constraints)\n",
    "\n",
    "Consider the following optimization problem\n",
    "\n",
    "\\begin{equation*}\n",
    "\t\\begin{aligned}\n",
    "\t\t& \\underset{x_1,x_2}{\\text{minimize}}\n",
    "\t\t& & f(x_1,x_2) = \\sqrt{\\left(x_1-1\\right)^2 + \\left(x_2-1\\right)^2}\\\\\n",
    "\t\t& \\text{subject to}\n",
    "\t\t& & g(x_1,x_2;a) = \\dfrac{1}{ax_1x_2} - 1 \\le 0\\\\\n",
    "\t\\end{aligned}\n",
    "\\end{equation*}\n",
    "\n",
    "The activity of the constraint depends on the value of the constraint parameter $a$"
   ]
  },
  {
   "cell_type": "code",
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   "id": "e5375bec",
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       "<div\n",
       "    class=\"webio-mountpoint\"\n",
       "    data-webio-mountpoint=\"3960006230357939552\"\n",
       ">\n",
       "    <script>\n",
       "    (function(){\n",
       "    // Some integrations (namely, IJulia/Jupyter) use an alternate render pathway than\n",
       "    // just putting the html on the page. If WebIO isn't defined, then it's pretty likely\n",
       "    // that we're in one of those situations and the integration just isn't installed\n",
       "    // correctly.\n",
       "    if (typeof window.WebIO === \"undefined\") {\n",
       "        document\n",
       "            .querySelector('[data-webio-mountpoint=\"3960006230357939552\"]')\n",
       "            .innerHTML = (\n",
       "                '<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb; font-weight: bold;\">' +\n",
       "                '<p><strong>WebIO not detected.</strong></p>' +\n",
       "                '<p>Please read ' +\n",
       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
       "                '</div>'\n",
       "            );\n",
       "        return;\n",
       "    }\n",
       "    WebIO.mount(\n",
       "        document.querySelector('[data-webio-mountpoint=\"3960006230357939552\"]'),\n",
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       "        window,\n",
       "    );\n",
       "    })()\n",
       "    </script>\n",
       "</div>\n"
      ],
      "text/plain": [
       "Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Scope(Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :label), Any[\"a\"], Dict{Symbol, Any}(:className => \"interact \", :style => Dict{Any, Any}(:padding => \"5px 10px 0px 10px\")))], Dict{Symbol, Any}(:className => \"interact-flex-row-left\")), Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :input), Any[], Dict{Symbol, Any}(:max => 16, :min => 1, :attributes => Dict{Any, Any}(:type => \"range\", Symbol(\"data-bind\") => \"numericValue: index, valueUpdate: 'input', event: {change: function (){this.changes(this.changes()+1)}}\", \"orient\" => \"horizontal\"), :step => 1, :className => \"slider slider is-fullwidth\", :style => Dict{Any, Any}()))], Dict{Symbol, Any}(:className => \"interact-flex-row-center\")), Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :p), Any[], Dict{Symbol, Any}(:attributes => Dict(\"data-bind\" => \"text: formatted_val\")))], Dict{Symbol, Any}(:className => \"interact-flex-row-right\"))], Dict{Symbol, Any}(:className => \"interact-flex-row interact-widget\")), Dict{String, Tuple{Observables.AbstractObservable, Union{Nothing, Bool}}}(\"changes\" => (Observable{Int64} with 1 listeners. Value:\n",
       "0, nothing), \"index\" => (Observable{Any} with 2 listeners. Value:\n",
       "8, nothing)), Set{String}(), nothing, Asset[Asset(\"js\", \"knockout\", \"/home/khalil/.julia/packages/Knockout/3gjS1/src/../assets/knockout.js\"), Asset(\"js\", \"knockout_punches\", \"/home/khalil/.julia/packages/Knockout/3gjS1/src/../assets/knockout_punches.js\"), Asset(\"js\", nothing, \"/home/khalil/.julia/packages/InteractBase/h8Fwe/src/../assets/all.js\"), Asset(\"css\", nothing, \"/home/khalil/.julia/packages/InteractBase/h8Fwe/src/../assets/style.css\"), Asset(\"css\", nothing, \"/home/khalil/.julia/packages/Interact/pVyN2/src/../assets/bulma_confined.min.css\")], Dict{Any, Any}(\"changes\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"changes\\\"]()) ? (this.valueFromJulia[\\\"changes\\\"]=true, this.model[\\\"changes\\\"](val)) : undefined})\")], \"index\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"index\\\"]()) ? (this.valueFromJulia[\\\"index\\\"]=true, this.model[\\\"index\\\"](val)) : undefined})\")]), WebIO.ConnectionPool(Channel{Any}(32), Set{AbstractConnection}(), Condition(Base.InvasiveLinkedList{Task}(Task (runnable) @0x00007f9769cc7820, Task (runnable) @0x00007f9769cc7820), Base.AlwaysLockedST(1))), WebIO.JSString[WebIO.JSString(\"function () {\\n    var handler = (function (ko, koPunches) {\\n    ko.punches.enableAll();\\n    ko.bindingHandlers.numericValue = {\\n        init: function(element, valueAccessor, allBindings, data, context) {\\n            var stringified = ko.observable(ko.unwrap(valueAccessor()));\\n            stringified.subscribe(function(value) {\\n                var val = parseFloat(value);\\n                if (!isNaN(val)) {\\n                    valueAccessor()(val);\\n                }\\n            });\\n            valueAccessor().subscribe(function(value) {\\n                var str = JSON.stringify(value);\\n                if ((str == \\\"0\\\") && ([\\\"-0\\\", \\\"-0.\\\"].indexOf(stringified()) >= 0))\\n                     return;\\n                 if ([\\\"null\\\", \\\"\\\"].indexOf(str) >= 0)\\n                     return;\\n                stringified(str);\\n            });\\n            ko.applyBindingsToNode(\\n                element,\\n                {\\n                    value: stringified,\\n                    valueUpdate: allBindings.get('valueUpdate'),\\n                },\\n                context,\\n            );\\n        }\\n    };\\n    var json_data = {\\\"formatted_vals\\\":[\\\"0.5\\\",\\\"0.6\\\",\\\"0.7\\\",\\\"0.8\\\",\\\"0.9\\\",\\\"1.0\\\",\\\"1.1\\\",\\\"1.2\\\",\\\"1.3\\\",\\\"1.4\\\",\\\"1.5\\\",\\\"1.6\\\",\\\"1.7\\\",\\\"1.8\\\",\\\"1.9\\\",\\\"2.0\\\"],\\\"changes\\\":WebIO.getval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"4005959065038452909\\\",\\\"id\\\":\\\"6320001364791040737\\\",\\\"type\\\":\\\"observable\\\"}),\\\"index\\\":WebIO.getval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"4005959065038452909\\\",\\\"id\\\":\\\"14386409181223445739\\\",\\\"type\\\":\\\"observable\\\"})};\\n    var self = this;\\n    function AppViewModel() {\\n        for (var key in json_data) {\\n            var el = json_data[key];\\n            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\\n        }\\n        \\n        [this[\\\"formatted_val\\\"]=ko.computed(    function(){\\n        return this.formatted_vals()[parseInt(this.index())-(1)];\\n    }\\n,this)]\\n        [this[\\\"changes\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"changes\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"4005959065038452909\\\",\\\"id\\\":\\\"6320001364791040737\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"index\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"index\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"4005959065038452909\\\",\\\"id\\\":\\\"14386409181223445739\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"index\\\"]=false}),self)]\\n        \\n    }\\n    self.model = new AppViewModel();\\n    self.valueFromJulia = {};\\n    for (var key in json_data) {\\n        self.valueFromJulia[key] = false;\\n    }\\n    ko.applyBindings(self.model, self.dom);\\n}\\n);\\n    (WebIO.importBlock({\\\"data\\\":[{\\\"name\\\":\\\"knockout\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/20cce38a6bc75cb66614a08cf930b86c837ffd26-knockout.js\\\"},{\\\"name\\\":\\\"knockout_punches\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/8d652c3c0960a100b10e7cf877d366d3ee5f8d17-knockout_punches.js\\\"}],\\\"type\\\":\\\"async_block\\\"})).then((imports) => handler.apply(this, imports));\\n}\\n\")])], Dict{Symbol, Any}(:className => \"field interact-widget\")), Observable{Node{WebIO.DOM}} with 0 listeners. Value:\n",
       "Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Plot{Plots.GRBackend() n=3}], Dict{Symbol, Any}(:className => \"interact-flex-row interact-widget\"))], Dict{Symbol, Any}())"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "87c78f4e-a260-4389-ad79-25984ae9d143"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# independent parameters\n",
    "x1 = LinRange(0,2,30)\n",
    "x2 = LinRange(0,2,30)\n",
    "gr()\n",
    "\n",
    "ui = @manipulate throttle=.01 for a=0.5:0.1:2\n",
    "    # dependant variables\n",
    "    f(x1,x2) = sqrt((x1-1)^2 + (x2-1)^2)\n",
    "    g(x1,x2) = 1/(a*x1*x2) - 1\n",
    "\n",
    "    # constraint function\n",
    "    y_cstr(x1) = 1/(a*x1)\n",
    "\n",
    "    # optimal variables\n",
    "    μ(a) = - sqrt(2) * abs(sqrt(a) - 1) / 2* (a - sqrt(a))\n",
    "    x1_opt(a) = if μ(a) > 0 sqrt(a) / a else 1 end\n",
    "    x2_opt(a) = if μ(a) > 0 sqrt(a) / a else 1 end\n",
    "    \n",
    "    if μ(a) < 0\n",
    "        t_label = \"inactive constraint, a=$a\"\n",
    "    else\n",
    "        t_label = \"active constraint, a=$a\"\n",
    "    end\n",
    "    \n",
    "    contour(x1, x2, f, fill = true,  levels = 10, title=t_label, c = :jet1, colorbar_title=L\"f(\\mathbf{x})\")\n",
    "    plot!(x1, y_cstr, lw = 3, label=L\"g(\\mathbf{x}) \\leq 0\")\n",
    "    scatter!([x1_opt(a)], [x2_opt(a)], markersize = 7, label=L\"\\mathbf{x}^*\")\n",
    "    xlabel!(L\"x_1\")\n",
    "    ylabel!(L\"x_2\")\n",
    "    ylims!((0,2))\n",
    "    xlims!((0,2))\n",
    "end"
   ]
  }
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