Version d'essai

Problem 1813. 06 - Matrix Equations 1

Created by Samuel Thrysøe

Solve Later

{"relationships":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/document","targetMode":"","relationshipId":"rId1","target":"/matlab/document.xml"},{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/output","targetMode":"","relationshipId":"rId2","target":"/matlab/output.xml"}],"parts":[{"partUri":"/matlab/document.xml","relationship":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","targetMode":"","relationshipId":"rId1","target":"/media/image1.png"},{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","targetMode":"","relationshipId":"rId2","target":"/media/image2.png"},{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","targetMode":"","relationshipId":"rId3","target":"/media/image3.png"},{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","targetMode":"","relationshipId":"rId4","target":"/media/image4.png"}],"contentType":"application/vnd.mathworks.matlab.code.document+xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<w:document xmlns:w=\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\"><w:body><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>Define the vectors</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>aVec</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:i/></w:rPr><w:t>bVec</w:t></w:r><w:r><w:t> and the matrix</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>aMat</w:t></w:r><w:r><w:t>:</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"-1\"/><w:attr w:name=\"width\" w:val=\"-1\"/><w:attr w:name=\"relationshipId\" w:val=\"rId1\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>and</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"-1\"/><w:attr w:name=\"width\" w:val=\"-1\"/><w:attr w:name=\"relationshipId\" w:val=\"rId2\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>and</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"-1\"/><w:attr w:name=\"width\" w:val=\"-1\"/><w:attr w:name=\"relationshipId\" w:val=\"rId3\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><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>aMat</w:t></w:r><w:r><w:t> = 9x9 matrix full of 2's )</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>Using matrix operations, calculate</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>xMat</w:t></w:r><w:r><w:t>:</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"-1\"/><w:attr w:name=\"width\" w:val=\"-1\"/><w:attr w:name=\"relationshipId\" w:val=\"rId4\"/></w:customXmlPr></w:customXml></w:p></w:body></w:document>"},{"partUri":"/matlab/output.xml","contentType":"text/xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\" ?><embeddedOutputs><metaData><evaluationState>manual</evaluationState><layoutState>code</layoutState><outputStatus>ready</outputStatus></metaData><outputArray type=\"array\"/><regionArray type=\"array\"/></embeddedOutputs>"},{"partUri":"/media/image1.png","contentType":"image/png","content":"data:image/png;base64,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"},{"partUri":"/media/image2.png","contentType":"image/png","content":"data:image/png;base64,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"},{"partUri":"/media/image3.png","contentType":"image/png","content":"data:image/png;base64,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"},{"partUri":"/media/image4.png","contentType":"image/png","content":"data:image/png;base64,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"}]}

Solve

Solution Stats

737 Solutions
397 Solvers

Last Solution submitted on Jan 27, 2023

Last 200 Solutions

Problem Comments

Solution Comments

Solution 304261

1 Comment

1 Comment

Evan on 14 Aug 2013

The same error in aVec as in other problem definitions is present here.

Problem Recent Solvers397

Suggested Problems

Find the sum of all the numbers of the input vector

41400 Solvers
Sum of diagonal of a square matrix

1479 Solvers
Wrapping the Tower of Pisa

275 Solvers
Relative ratio of "1" in binary number

931 Solvers
07 - Common functions and indexing 6

407 Solvers

More from this Author26

Problem Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version d'essai