Problem 1810. 05 - Vector Equations 2

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"}],"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>:</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>Using elementwise operations, calculate</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>yVec</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=\"rId3\"/></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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"}]}

Solve

Solution Stats

691 Solutions
374 Solvers

Last Solution submitted on Oct 23, 2022

Last 200 Solutions

Problem Comments

1 Comment

1 Comment

George on 16 Aug 2013

There's a typo in the test suite - the third element in aVec should be 9, not 8.

Solution Comments

Solution 312315

1 Comment

1 Comment

David on 29 Aug 2013

i aVec er 9 blevet til 8 i løsningen

Problem Recent Solvers374

Suggested Problems

Summing Digits within Text

1953 Solvers
Find common elements in matrix rows

2013 Solvers
Distance walked 1D

2378 Solvers
Factorial Numbers

374 Solvers
Matlab Basics - Set unwanted parts of a vector to zero

230 Solvers

More from this Author26

04 - Scalar Equations 3

439 Solvers
02 - Vector Variables 4

485 Solvers
03 - Matrix Variables 4

564 Solvers
03 - Matrix Variables 3

565 Solvers
07 - Common functions and indexing 5

363 Solvers

Problem Tags

Community Treasure Hunt

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

Start Hunting!

Trial software