<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:blogger='http://schemas.google.com/blogger/2008' xmlns:georss='http://www.georss.org/georss' xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-5850029674838080590</id><updated>2026-08-30T11:49:18.447+04:00</updated><category term="Cryptology"/><category term="Business Math"/><category term="Engineering"/><category term="Geometry"/><category term="Chemistry"/><category term="Economics"/><category term="Introduction"/><category term="3D"/><category term="Electricity"/><category term="Physics"/><category term="Matlab"/><category term="Finance"/><category term="Photography"/><category term="computer graphics"/><category term="2007"/><category term="Abstract Thinking"/><category term="Arts"/><category term="Communication"/><category term="Cryptography"/><category term="GPS"/><category term="Germany¤ February 21"/><category term="History"/><category term="Marketing"/><category term="Matrices in the real world"/><category term="Mechanics"/><category term="Music"/><category term="Potsdam"/><category term="Programming a Robot"/><category term="Quantum Mechanics"/><category term="RSS FEED"/><category term="TIME MANAGEMENT"/><category term="The linear algebra behind  google"/><category term="Traffic"/><category term="Video"/><category term="Wolfgang K¨ohler"/><category term="decoding matrix"/><category term="encoding matrix"/><category term="http://www.sosmath.com/matrix/coding/coding.html"/><category term="inverse"/><category term="sociology"/><title type='text'>Applications of Linear Algebra</title><subtitle type='html'></subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default?redirect=false'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><link rel='next' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default?start-index=26&amp;max-results=25&amp;redirect=false'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/06581520721215244072</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>110</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-5116078143311371325</id><published>2011-05-22T23:04:00.002+04:00</published><updated>2011-05-22T23:18:25.755+04:00</updated><title type='text'>Linear algebra and electricity of a car</title><summary type="text">The diagram below shows some of a car&#39;s electrical network. The battery is on the left, drawn as stacked line segments. The wires are drawn as lines, shown straight and with sharp right angles for neatness. Each light is a circle enclosing a loop.



The designer of such a network needs to answer questions like: How much electricity flows when both the hi-beam headlights and the brake lights are </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/5116078143311371325/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/lenair-algebra-and-electricity-of-car.html#comment-form' title='6 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/5116078143311371325'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/5116078143311371325'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/lenair-algebra-and-electricity-of-car.html' title='Linear algebra and electricity of a car'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>6</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-126561961890943043</id><published>2011-05-22T01:31:00.011+04:00</published><updated>2011-05-22T03:05:29.569+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="The linear algebra behind  google"/><title type='text'>THE $25,000,000,000  EIGENVECTOR THE LINEAR ALGEBRA BEHIND GOOGLE</title><summary type="text">&lt;!--[if gte mso 9]&gt;           &lt;![endif]--&gt;&lt;!--[if gte mso 9]&gt;     Normal   0               false   false   false      EN-US   X-NONE   AR-SA                                                                                                     &lt;![endif]--&gt;&lt;!--[if gte mso 9]&gt;</summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/126561961890943043/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/normal-0-false-false-false-en-us-x-none.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/126561961890943043'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/126561961890943043'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/normal-0-false-false-false-en-us-x-none.html' title='THE $25,000,000,000  EIGENVECTOR THE LINEAR ALGEBRA BEHIND GOOGLE'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiu9kDXzhQ29dKYLh3JW9Mb8oaXe1_LmZORk-wRRlA_UlFeXOcIWCA3ko1gtYwFqzARkphnRRaPs1MyycpSp5hTbdLRzMxdmpEv9Pu5NJbT6W2adwMvJvhx3r58pChwOYOFp765_pMAGULs/s72-c/1%252C2%252C3%252C4.PNG" height="72" width="72"/><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-3693304567694727008</id><published>2011-05-20T16:35:00.002+04:00</published><updated>2011-05-20T16:46:36.248+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Programming a Robot"/><title type='text'>Programming a Robot</title><summary type="text">In physical situations, matrices arise when you want to work with and describe real world (multi-dimensional) objects. While there are other ways, using a matrix is often very convenient.An exampleLet&#39;s say you&#39;re programming a robot. You tell it that there is an obstacle five meters ahead, and two meters to the right. Now your robot then turns in place &#39;t&#39; degrees to the left. So, how do you </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/3693304567694727008/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/programming-robot.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/3693304567694727008'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/3693304567694727008'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/programming-robot.html' title='Programming a Robot'/><author><name>Anonymous</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/blank.gif'/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-6754700562330311586</id><published>2011-05-19T15:02:00.001+04:00</published><updated>2011-05-19T15:18:23.367+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="3D"/><title type='text'>matrices in 4d x y  z and position</title><summary type="text">1: A matrix is basically an array of number arranged in a rectangular pattern. The matrices used in C4D, represented by the class Matrix, consist of four rows and four columns, i.e. they have the dimension 4x4. The first row is always &quot;1, 0, 0, 0&quot;, which means that there are 12 numbers that are used. These numbers are grouped into four vectors, one for the remaining numbers in each column. The </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/6754700562330311586/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrices-in-4d-x-y-z-and-position.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/6754700562330311586'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/6754700562330311586'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrices-in-4d-x-y-z-and-position.html' title='matrices in 4d x y  z and position'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgY1mrbQuyeozYoZRDd6noVTcCjJlDsRDbrqAOW0Ham_eCDyvX0AsSBItgbPwIMAH55DTGjSAtFAm2oc1DzYS99tIn6dP1KFaP-mdWgQQGEzP86Qude98KQH-DqtK-GQQt-eGd4SAp-CSU/s72-c/matrix.gif" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-156217130962872907</id><published>2011-05-17T17:32:00.002+04:00</published><updated>2011-05-24T00:29:03.263+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="computer graphics"/><category scheme="http://www.blogger.com/atom/ns#" term="Electricity"/><title type='text'></title><summary type="text">LCD (Liquid crystal display) Television: Passive matrix addressing:Passive matrix addressing is an addressing scheme used in earlier LCD displays, and may be used in future LCD displays. This is a matrix addressing scheme meaning that only m + n control signals are required to address a m × n display. A pixel in a passive matrix must maintain its state without active driving circuitry until it </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/156217130962872907/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/lcd-liquid-crystal-display-television.html#comment-form' title='2 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/156217130962872907'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/156217130962872907'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/lcd-liquid-crystal-display-television.html' title=''/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>2</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-5012632796524235884</id><published>2011-05-12T16:18:00.000+04:00</published><updated>2011-05-14T00:51:02.320+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Mechanics"/><title type='text'>Matrices and mechanics</title><summary type="text">M.G. Vassanji* and A.KleinDepartment of physics, University of Pennsylvania, Philedelphia, Pennsylvania 19104Recieved 27 November 1978; published in the issue dated june 1979The triaxial quantum rotor is studied for large values of angular momentum by the methods of matrix mechanics. Interest is focused on states in the neighborhood of the ground state (yrast state) for a prescribed value of the </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/5012632796524235884/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrices-and-mechanics.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/5012632796524235884'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/5012632796524235884'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrices-and-mechanics.html' title='Matrices and mechanics'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-7029344444676184437</id><published>2011-05-11T02:34:00.007+04:00</published><updated>2011-05-11T02:44:19.630+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="sociology"/><title type='text'>Linear Application To Sociology</title><summary type="text">Application to sociologyIntroduction Sociologists interested in various kinds of communications in a group of individuals often use graphs to represent and analyze relations inside the group. For terminology and some results about graph theory that we will use here, check the application of linear algebra to graph theory. The idea is to associate a vertex to each individual in the group, and if </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/7029344444676184437/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/application-to-sociology-introduction.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/7029344444676184437'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/7029344444676184437'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/application-to-sociology-introduction.html' title='Linear Application To Sociology'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhq2ez1n8sdBoEyPEKJgsflWVH1BeTrBHXMZ5bvET_LdS7rovGYf_5pfrvyJQoj5smZ9QeE1sIe1BepwdJ9Ryw7L1dl4FDqo1_cqbF1xL271ccRlG-TJ5ZNQef2JTWtJfIlUSSrrrl_G2M/s72-c/image002.gif" height="72" width="72"/><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-7761310708483197343</id><published>2011-05-11T00:29:00.002+04:00</published><updated>2011-05-11T00:41:11.890+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Geometry"/><title type='text'>The Geometry of Linear Equations</title><summary type="text">The first lecture starts with Gilbert Strang stating the fundamental problem of linear algebra, which is to solve systems of linear equations. He proceeds with an example.The example is a system of two equations in two unknowns:There are three ways to look at this system. The first is to look at it a row at a time, the second is to look a column at a time, and the third is use the matrix form.If </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/7761310708483197343/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/geometry-of-linear-equations.html#comment-form' title='5 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/7761310708483197343'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/7761310708483197343'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/geometry-of-linear-equations.html' title='The Geometry of Linear Equations'/><author><name>Anonymous</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/blank.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjVpITFk3WEmEKnrlG8amlIpkrpnNr9JZeRCtYrTZ4knbvljsD7VPivoUzJS4XwAZOvpK25pRZ6ucC3wBh3-FlCVG63o_8WyRgoCImi0_KIdEdXWdR9kTXNwtVwN0d4PzA5pI4LFviwr9yp/s72-c/9.gif" height="72" width="72"/><thr:total>5</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-4399882963214983518</id><published>2011-05-10T23:50:00.000+04:00</published><updated>2011-05-10T23:57:00.807+04:00</updated><title type='text'>Quadratic equation a 44</title><summary type="text">If $480 is divided equally among N people, each person will get $x each. If two more people are added to the group, each person gets $(x - 20). Which of the following is N?&lt;?xml:namespace prefix = o ns = &quot;urn:schemas-microsoft-com:office:office&quot; /&gt;(A) 4(B) 6(C) 7(D) 8(E) 9Explanation:If $480 is equally divided among N people and they get x dollars each, then 480/N = xIf two more people are added,</summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/4399882963214983518/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/quadratic-equation-44.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/4399882963214983518'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/4399882963214983518'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/quadratic-equation-44.html' title='Quadratic equation a 44'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-52559486284565656</id><published>2011-05-10T22:36:00.002+04:00</published><updated>2011-05-10T22:38:45.518+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="http://www.sosmath.com/matrix/coding/coding.html"/><title type='text'>coding messeges by matrices</title><summary type="text"> There are many ways to encrypt a message.  And the use of coding has  become particularly significant in recent years (due to the explosion of  the internet for example).  One way to encrypt or code a message uses  matrices and their inverse.  Indeed, consider a fixed invertible matrix A.  Convert the message into a matrix B such that AB is possible to perform.  Send the message generated by AB.</summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/52559486284565656/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/coding-messeges-by-matrices.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/52559486284565656'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/52559486284565656'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/coding-messeges-by-matrices.html' title='coding messeges by matrices'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-4093464141079450503</id><published>2011-05-10T21:49:00.029+04:00</published><updated>2011-05-24T13:29:48.023+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Geometry"/><title type='text'>Moving a ship</title><summary type="text">Vector graphics refers to representing images by mathematical descriptions of geometric objects, rather than by a collection of pixels on the screen (raster graphics).&lt;?xml:namespace prefix = v /&gt;&lt;?xml:namespace prefix = o /&gt;&lt;?xml:namespace prefix = w /&gt;Manipulating a ShipLet’s represent the ship by a triangle, starting with its vertices at (0, 0), (2, 0), (1, 3).We could represent this as a </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/4093464141079450503/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/vector-graphics-refers-to-representing.html#comment-form' title='7 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/4093464141079450503'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/4093464141079450503'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/vector-graphics-refers-to-representing.html' title='Moving a ship'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://1.bp.blogspot.com/-8Z2wMjDJGhA/TcmJlJwFG_I/AAAAAAAAAA0/xoD3h05rCGA/s72-c/1.jpg" height="72" width="72"/><thr:total>7</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-5784935448332174485</id><published>2011-05-10T21:33:00.002+04:00</published><updated>2011-05-10T22:20:22.908+04:00</updated><title type='text'>Projection Matrices</title><summary type="text">Let {u1 .... uk}be an orthonormal basis for a subspace W of Rn. Form the n x k matrixU = [U1 U2 ... Uk]Then projWv = UU^Tv.The matrix UU^T is called the projection matrix for the subspace W. It does not dependon the choice of orthonormal basis.What if we do not start with an orthonormal basis of W?Theorem. Let {a1 ... ak}be any basis for a subspace W of Rn. Form the n k matrixA= [a1 a2 ... ak]</summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/5784935448332174485/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/projection-matrices.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/5784935448332174485'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/5784935448332174485'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/projection-matrices.html' title='Projection Matrices'/><author><name>Anonymous</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/blank.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-5480448563374884192</id><published>2011-05-10T20:50:00.004+04:00</published><updated>2011-05-22T23:20:59.742+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Cryptology"/><title type='text'>Application of Invertible Matrices: Coding</title><summary type="text">  There are many ways to encrypt a message. And the use of coding has become particularly significant in recent years (due to the explosion of the internet for example). One way to encrypt or code a message uses matrices and their inverse. Indeed, consider a fixed invertible matrix A. Convert the message into a matrix B such that AB is possible to perform. Send the message generated by AB. At the</summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/5480448563374884192/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/application-of-invertible-matrices.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/5480448563374884192'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/5480448563374884192'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/application-of-invertible-matrices.html' title='Application of Invertible Matrices: Coding'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-2793127841540136853</id><published>2011-05-10T16:00:00.000+04:00</published><updated>2011-05-10T16:04:00.724+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="2007"/><category scheme="http://www.blogger.com/atom/ns#" term="Germany¤ February 21"/><category scheme="http://www.blogger.com/atom/ns#" term="Potsdam"/><category scheme="http://www.blogger.com/atom/ns#" term="Wolfgang K¨ohler"/><title type='text'>Matrix Representation of Special Relativity</title><summary type="text">The possibility to represent Minkowski spacetime vectors with 2x2-matrices is well-known since the 1920ies . It is a consequence of the fact, that the Lorentz-group is homomorphicto the group of unimodular binary matrices SL(2, C). This matrix representation is mostly used to show, how covariant equations for spinors can be derived.But it is widely ignored, that on the other hand, this also can </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/2793127841540136853/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrix-representation-of-special.html#comment-form' title='6 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/2793127841540136853'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/2793127841540136853'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrix-representation-of-special.html' title='Matrix Representation of Special Relativity'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>6</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-2287052916600788806</id><published>2011-05-10T06:02:00.002+04:00</published><updated>2011-05-10T06:11:13.536+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Abstract Thinking"/><title type='text'>Introducing Abstract Thinking to your mind</title><summary type="text">While linear algebra has many real-life applications, it also has its elegant side, a side which is somewhat abstract. This aspect of the subject also has a real-life application: to develop clarity of thought and expression. At many points in your professional life, you will need to explain to other people what you are doing, and indeed why you are doing it. The &quot;other people &quot; could include </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/2287052916600788806/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/introducing-abstract-thinking-to-your.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/2287052916600788806'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/2287052916600788806'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/introducing-abstract-thinking-to-your.html' title='Introducing Abstract Thinking to your mind'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhs2XHsCMCtx6hLh2tfXTgNTcBI4g3k0P7jIyWjk0_7xWCqici0XJM4yEHOYZLh-06z90VXyBuO9WDgkrZvsrrcCgG8HRpdTSmBQRBK_FisUuK4NOGFEnOme_uPr-tmp_t7vsGHRfxCS4pp/s72-c/image002%255B2%255D.jpg" height="72" width="72"/><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-3584515160463109001</id><published>2011-05-10T03:11:00.000+04:00</published><updated>2011-05-10T03:33:27.972+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Chemistry"/><title type='text'>Balancing Equations Using Matrices</title><summary type="text">A simple example goes a long way. We can form water by combing hydrogen gas (H2) and oxygen (O2) in the presence of electricity. The reaction looks like this:H2 + O2 ---&amp;gt; H2OIf you do some of the gram molecular weight calculations you will find this:2 g of hydrogen + 32 g of oxygen = 18 g of waterWhat this says is that you start with 34 grams of stuff and end up with 18 grams of stuff. You&#39;ve </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/3584515160463109001/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/balancing-equations-using-matrices.html#comment-form' title='2 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/3584515160463109001'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/3584515160463109001'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/balancing-equations-using-matrices.html' title='Balancing Equations Using Matrices'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>2</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-2540879871240235446</id><published>2011-05-10T02:42:00.010+04:00</published><updated>2011-05-10T08:57:15.315+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Chemistry"/><title type='text'>Chemistry and the Z-Matrix</title><summary type="text">In chemistry, the Z-matrix is a way to represent a system built of atoms. A Z-matrix is also known as an internal coordinate representation. It provides a description of each atom in a molecule in terms of its atomic number, bond length, bond angle, and dihedral angle, the so-called internal coordinates, although it is not always the case that a Z-matrix will give information regarding bonding </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/2540879871240235446/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/chemistry-and-z-matrix.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/2540879871240235446'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/2540879871240235446'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/chemistry-and-z-matrix.html' title='Chemistry and the Z-Matrix'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj8SpWmIN5IaGLfXdNG03x9yvBaePVTPL-Sv8pnvvnEu_0gtW3Uon7qa59GvqvecNcpG_CeCr3x2lOtP1JuMws245lJzuyvj-Coc2f52HLRa2qo1rB5_qH82j-Aond4eFN7Kj34xaYFT2WS/s72-c/pentac2v%255B1%255D.gif" height="72" width="72"/><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-443221250784997249</id><published>2011-05-10T02:31:00.000+04:00</published><updated>2011-05-10T03:33:27.977+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Physics"/><title type='text'>Linear Algebra in Physics - Subspaces</title><summary type="text">Let V be a vector space over a field F and let W ⊂ V be some subset. IfW is itselfa vector space over F, considered using the addition and scalar multiplication in V,then we say thatWis a subspace of V. Analogously, a subset H of a group G, whichis itself a group using the multiplication operation from G, is called a subgroup ofG. Subfields are similarly defined.Theorem 2. Let W ⊂ V be a subset </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/443221250784997249/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/linear-algebra-in-physics-subspaces.html#comment-form' title='2 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/443221250784997249'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/443221250784997249'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/linear-algebra-in-physics-subspaces.html' title='Linear Algebra in Physics - Subspaces'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>2</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-6144764126057194894</id><published>2011-05-10T02:10:00.015+04:00</published><updated>2011-05-19T23:40:56.686+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Geometry"/><title type='text'>Matrices in Geometric Transformation</title><summary type="text">By using matrix addition, we can translate the vertices of a figure.EXAMPLE: Given triangle ABC where A (–4, 1), B (– 2, 5) and C (0, 2), translate the preimage 5 units right and 3 units downA dilation can be done by multiplying the matrix by a factorEXAMPLE: Given triangle ABC where A (–2,0), B (0, 4) and C (2, 1) Increase the size of the triangle by a factor of 1.5We can use matrix </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/6144764126057194894/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrices-in-geometric-trasformation-by.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/6144764126057194894'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/6144764126057194894'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrices-in-geometric-trasformation-by.html' title='Matrices in Geometric Transformation'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhet1vqhx1o0ynTW4WyNWSIrrIz_0Wh16Z1XhlU07RkN8xUGHmpBm-OiD88Mj3NHfD6aN3ZnvtvTmZp7pwt97Fy2ad9N-TmAo2kac4YmL2AHmAV57oi_B94wgR7wCdSaZHegHSOOXjRPUw/s72-c/ch4_4_1.gif" height="72" width="72"/><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-2838180820111806745</id><published>2011-05-10T01:25:00.002+04:00</published><updated>2011-05-10T11:53:22.418+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Engineering"/><title type='text'>BOILER WATER SOFTENER SYSTEM</title><summary type="text">&lt;!--[if gte vml 1]&gt;                                                  &lt;![endif]--&gt;&lt;!--[if !vml]--&gt;&lt;!--[endif]--&gt;  BOILER WATER SOFTENER SYSTEM              Matrix provided the civil, structural, mechanical, electrical and controls engineering for a water softener system supplying the boilers at the Nashville, Tennessee facility.  The system consisted of a packaged softener system and two brine </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/2838180820111806745/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/boiler-water-softener-system.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/2838180820111806745'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/2838180820111806745'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/boiler-water-softener-system.html' title='BOILER WATER SOFTENER SYSTEM'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-9043148576221577838</id><published>2011-05-09T20:04:00.001+04:00</published><updated>2011-05-09T20:07:47.172+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="computer graphics"/><title type='text'></title><summary type="text">Since a 2 x 2 matrix corresponds uniquely to a linear transformation from R2 to R2, we can think of a matrix as transforming a planar figure into a new planar figure.  ExampleConsider the matrix        and the triangle with vertices (0,0), (12), (5,3).  We have        It is a property of linear transformations that if the matrix is nonsingular, then line segments map onto line segments.  Hence </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/9043148576221577838/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/since-2-x-2-matrix-corresponds-uniquely.html#comment-form' title='2 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/9043148576221577838'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/9043148576221577838'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/since-2-x-2-matrix-corresponds-uniquely.html' title=''/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>2</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-8654519805321657780</id><published>2011-05-09T19:19:00.014+04:00</published><updated>2011-05-09T19:58:57.429+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="3D"/><title type='text'>Mirroring a point on a 3D plane</title><summary type="text">ContextConsider the plane in three dimensional space defined by a point and a normal vector :                    Mirroring a point   Mirroring a point with this plane is very straightforward.We calculate the distance from the point to the plane (covered in plane equation in 3D ) and then we use this distance and the calculated normal toget the point pm.                                      The </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/8654519805321657780/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/mirroring-point-on-3d-plane.html#comment-form' title='5 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/8654519805321657780'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/8654519805321657780'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/mirroring-point-on-3d-plane.html' title='Mirroring a point on a 3D plane'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0bqYBPWIl06kg1922JlO8UrEcjscRB6lHKXN1VlCQn_S_x696Y6xxevuVtql1zckqb_Hc71yLOj7VsyRr2rbS4LFvKrkYLtPT5sTljr3V3xKLJTWGGQ8qNK-wOL-FajXuljLWgUuRgfQX/s72-c/Untitled7.jpg" height="72" width="72"/><thr:total>5</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-7709281675861481537</id><published>2011-05-07T17:56:00.002+04:00</published><updated>2011-05-07T18:47:50.297+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Matlab"/><title type='text'></title><summary type="text">4. Matrix Operations in Excel.Matrix Manipulations: Vectors, Matrices, and Arrays. How Excel HandlesMatrix Math. Basic Matrix Operations. Solving Systems of Linear Equations.Matrix Manipulations: Vectors, Matrices, and Arrays.In this section we consider the topic of Vectors, Matrices and Arrays andtheir application in solving Linear Equations and other linear algebraproblems.Simultaneous linear </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/7709281675861481537/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/4.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/7709281675861481537'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/7709281675861481537'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/4.html' title=''/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-3614712301018551738</id><published>2011-05-07T16:24:00.010+04:00</published><updated>2011-05-07T16:50:53.799+04:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Electricity"/><title type='text'>Matrix in Piezoelectricity</title><summary type="text">Piezoelectricity is the combined effect of the electrical behavior of the material:where D is the electric charge density displacement(electric displacement), the epsilon is permittivity and E is electric field strength, andHooke&#39;s Law: where S is strain, s is compliance and T is stress.These may be combined into so called coupled equations, of which the strain-charge form is: where [d] is the </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/3614712301018551738/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrix-in-piezoelectricity.html#comment-form' title='2 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/3614712301018551738'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/3614712301018551738'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrix-in-piezoelectricity.html' title='Matrix in Piezoelectricity'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxJ57pWGVBIZMVbL26oIG3sUfjyuliYNM0IeX9__RfuoJVxmOgn9EgSbo7cY0JqIPHCsF-czTon36JZCXNCM4p45n6aTuCuAvWwK2HXydmJap2VYQKa4LAPLKfIzCaSFsBnTeZgc0XnLo/s72-c/1.bmp" height="72" width="72"/><thr:total>2</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5850029674838080590.post-6886578456669221667</id><published>2011-05-06T16:09:00.002+04:00</published><updated>2011-05-06T16:14:54.853+04:00</updated><title type='text'>Matrices of String Input</title><summary type="text">Enter MATLAB strings surrounded by single quotes (&#39;string&#39;).Strings are stored as character arrays, one ASCII character per element. Thus, the date stringDateString = &#39;9/16/2001&#39;is actually a 1-by-9 vector. Strings making up the rows of a matrix or vector all must have the same length. To enter several date strings, therefore, use a column vector and be sure all strings are the same length. Fill </summary><link rel='replies' type='application/atom+xml' href='http://ndu2009algebra.blogspot.com/feeds/6886578456669221667/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrices-of-string-input.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/6886578456669221667'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5850029674838080590/posts/default/6886578456669221667'/><link rel='alternate' type='text/html' href='http://ndu2009algebra.blogspot.com/2011/05/matrices-of-string-input.html' title='Matrices of String Input'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>1</thr:total></entry></feed>