Problem 45464. Design a minimum-cost cable network for a power grid

Created by Karl Ezra Pilario

Solve Later

{"parts":[{"partUri":"/matlab/document.xml","contentType":"application/vnd.mathworks.matlab.code.document+xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\"?><w:document xmlns:w=\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\"><w:body><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>You are given the 2-D point locations (</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>xi</w:t></w:r><w:r><w:t> ,</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>yi</w:t></w:r><w:r><w:t> ) of</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t>N</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>components</w:t></w:r><w:r><w:t> of a power grid. These</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>components</w:t></w:r><w:r><w:t> include power sources (power plants, wind farms, solar farms, etc.), loads (residential, commercial, etc.), storage stations, and substations. However, the cables between them are not yet installed.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>Your task is to design a</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>complete</w:t></w:r><w:r><w:t> cable network by installing cables between pairs of components. A network is considered</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>complete</w:t></w:r><w:r><w:t> if and only if a path exists from any component</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>A</w:t></w:r><w:r><w:t> to any other component</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>B</w:t></w:r><w:r><w:t>. A</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>completed</w:t></w:r><w:r><w:t> network of cables is enough to deliver power from any source to any load or vice versa (excess power can be sent back to the grid). After all, cables can carry power in both directions.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>However, the cost of installing a cable between components</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>A</w:t></w:r><w:r><w:t> &amp;</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>B</w:t></w:r><w:r><w:t> is</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t>D</w:t></w:r><w:r><w:t> dollars per unit straight-line distance between their point locations. This means that we don't want to install too many cables; we only need to install enough to make the network</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>complete</w:t></w:r><w:r><w:t>. Knowing the locations of all</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t>N</w:t></w:r><w:r><w:t> components, can you design a</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>complete</w:t></w:r><w:r><w:t> cable network whose total installation cost is minimium?</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>Write a function that accepts variables</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t>P</w:t></w:r><w:r><w:t> and</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t>D</w:t></w:r><w:r><w:t>. Variable</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t>P</w:t></w:r><w:r><w:t> is an</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t>N</w:t></w:r><w:r><w:t>-by-2 matrix where each row is a location (</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>xi</w:t></w:r><w:r><w:t> ,</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>yi</w:t></w:r><w:r><w:t> ). Output the required minimum total installation cost, rounded to 2 decimal places. You are ensured that:</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"ListParagraph\"/><w:numPr><w:numId w:val=\"1\"/></w:numPr><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>2 &lt;=</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t>N</w:t></w:r><w:r><w:t> &lt;= 100</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"ListParagraph\"/><w:numPr><w:numId w:val=\"1\"/></w:numPr><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>100 &lt;=</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t>D</w:t></w:r><w:r><w:t> &lt;= 1000 and 1 &lt;=</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>xi</w:t></w:r><w:r><w:t>,</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>yi</w:t></w:r><w:r><w:t> &lt;= 100</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"ListParagraph\"/><w:numPr><w:numId w:val=\"1\"/></w:numPr><w:jc w:val=\"left\"/></w:pPr><w:r><w:rPr><w:b/></w:rPr><w:t>D</w:t></w:r><w:r><w:t> and all elements of</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t>P</w:t></w:r><w:r><w:t> are integers</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"ListParagraph\"/><w:numPr><w:numId w:val=\"1\"/></w:numPr><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>All point locations in a test case are distinct</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>A sample test case is given below.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"code\"/></w:pPr><w:r><w:t><![CDATA[>> P = [11 15; 4 14; 9 13; 13 12; 3 11; 6 11; 1 10; 9 9; ...\n 5 7; 13 7; 7 6; 10 5; 3 4; 6 2; 11 1];\n>> connect_grid(P,400)\nans = \n 18394.83]]></w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>A visualization of this case is given below:</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"346\"/><w:attr w:name=\"width\" w:val=\"719\"/><w:attr 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<div style = "text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; "><div style="block-size: 929.6px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 464.8px; transform-origin: 407px 464.8px; vertical-align: baseline; "><div style="block-size: 62.4px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.2px; text-align: left; transform-origin: 384px 31.2px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">You are given the 2-D point locations (<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">xi<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> ,<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">yi<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> ) of<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">N<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">components<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> of a power grid. These<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">components<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> include power sources (power plants, wind farms, solar farms, etc.), loads (residential, commercial, etc.), storage stations, and substations. However, the cables between them are not yet installed.</div><div style="block-size: 83.2px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 41.6px; text-align: left; transform-origin: 384px 41.6px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">Your task is to design a<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">complete<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> cable network by installing cables between pairs of components. A network is considered<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">complete<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> if and only if a path exists from any component<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">A<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> to any other component<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">B<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">. A<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">completed<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> network of cables is enough to deliver power from any source to any load or vice versa (excess power can be sent back to the grid). After all, cables can carry power in both directions.</div><div style="block-size: 83.2px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 41.6px; text-align: left; transform-origin: 384px 41.6px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">However, the cost of installing a cable between components<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">A<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> &amp;<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">B<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> is<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">D<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> dollars per unit straight-line distance between their point locations. This means that we don't want to install too many cables; we only need to install enough to make the network<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">complete<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">. Knowing the locations of all<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">N<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> components, can you design a<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">complete<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> cable network whose total installation cost is minimium?</div><div style="block-size: 41.6px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 20.8px; text-align: left; transform-origin: 384px 20.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">Write a function that accepts variables<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">P<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> and<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">D<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">. Variable<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">P<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> is an<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">N<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">-by-2 matrix where each row is a location (<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">xi<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> ,<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">yi<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "> ). Output the required minimum total installation cost, rounded to 2 decimal places. You are ensured that:</div><ul style="block-size: 80px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 40px; transform-origin: 391px 40px; margin-top: 10px; margin-bottom: 20px; "><li style="block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; ">2 &lt;= N &lt;= 100</li><li style="block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; ">100 &lt;= D &lt;= 1000 and 1 &lt;= xi, yi &lt;= 100</li><li style="block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; ">D and all elements of P are integers</li><li style="block-size: 20px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; ">All point locations in a test case are distinct</li></ul><div style="block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">A sample test case is given below.</div><div style="background-color: rgb(247, 247, 247); block-size: 100px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 50px; transform-origin: 404px 50px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; "><div style="background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; ">&gt;&gt; P = [11 15; 4 14; 9 13; 13 12; 3 11; 6 11; 1 10; 9 9; <span style="border-block-end-color: rgb(14, 0, 255); border-block-start-color: rgb(14, 0, 255); border-bottom-color: rgb(14, 0, 255); border-inline-end-color: rgb(14, 0, 255); border-inline-start-color: rgb(14, 0, 255); border-left-color: rgb(14, 0, 255); border-right-color: rgb(14, 0, 255); border-top-color: rgb(14, 0, 255); caret-color: rgb(14, 0, 255); color: rgb(14, 0, 255); column-rule-color: rgb(14, 0, 255); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(14, 0, 255); text-decoration: none; text-decoration-color: rgb(14, 0, 255); ">...</div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; "> 5 7; 13 7; 7 6; 10 5; 3 4; 6 2; 11 1];</div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; ">&gt;&gt; connect_grid(P,400)</div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; ">ans = </div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10px; transform-origin: 404px 10px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; "> 18394.83</div></div><div style="block-size: 20.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.4px; text-align: left; transform-origin: 384px 10.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; ">A visualization of this case is given below:</div><div style="block-size: 351.6px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 175.8px; text-align: left; transform-origin: 384px 175.8px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><img class="imageNode" width="719" height="346" style="vertical-align: baseline;width: 719px;height: 346px" 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You are given the 2-D point locations ( _xi_ , _yi_ ) of *N* _components_ of a power grid. These _components_ include power sources (power plants, wind farms, solar farms, etc.), loads (residential, commercial, etc.), storage stations, and substations.  However, the cables between them are not yet installed.

Your task is to design a _complete_ cable network by installing cables between pairs of components. A network is considered _complete_ if and only if a path exists from any component _A_ to any other component _B_. A _completed_ network of cables is enough to deliver power from any source to any load or vice versa (excess power can be sent back to the grid). After all, cables can carry power in both directions.

However, the cost of installing a cable between components _A_ & _B_ is *D* dollars per unit straight-line distance between their point locations. This means that we don't want to install too many cables; we only need to install enough to make the network _complete_. Knowing the locations of all *N* components, can you design a _complete_ cable network whose total installation cost is minimium?

Write a function that accepts variables *P* and *D*. Variable *P* is an *N*-by-2 matrix where each row is a location ( _xi_ , _yi_ ). Output the required minimum total installation cost, rounded to 2 decimal places. You are ensured that:

* 2 <= *N* <= 100
* 100 <= *D* <= 1000 and 1 <= _xi_, _yi_ <= 100
* *D* and all elements of *P* are integers
* All point locations in a test case are distinct

A sample test case is given below.

>> P = [11 15; 4 14; 9 13; 13 12; 3 11; 6 11; 1 10; 9 9; ...
           5 7; 13 7; 7 6; 10 5; 3 4; 6 2; 11 1];
>> connect_grid(P,400)
ans = 
    18394.83

A visualization of this case is given here: <https://drive.google.com/open?id=1wqnH0j6aihbD_Jm5pxrW7dhTm3VxrEAI>

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Problem 45464. Design a minimum-cost cable network for a power grid

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