Error Singular Matrix

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Error Singular Matrix Ti Nspire

Site: US and Canada Knowledge Base Home > Product Usage > TI-Nspire™ Family > TI-Nspire™ Handheld in TI-84 singular matrix error ti 84 Plus Mode > Matrices > > Solution 11935 Solution 11935: Causes of a Singular Matrix Error on a TI-83 Family, TI-84 Plus Family, Or TI-Nspire™ Handheld In TI-84 Plus

Error Singular Matrix Ti 83

Mode. Type Question and Answer Last Updated 06-AUG-2010 14:02:53 What causes a Singular Matrix error message on a TI-83 family, TI-84 Plus family, or TI-Nspire handheld in TI-84 Plus mode? Themessage "ERR:SINGULAR MAT"may be the result of one of two possible things. The firstreason is an attempt to take the inverse of a matrixfor which thedeterminant is singular matrix error ti89 zero. A second possible cause for this error message is if the coordinates provided are only from a single cycle of the sine wave. A minimum of two points from twocycles of the sine wave are needed to generate an answer.Example: Matrix A, shown below, has a determinant of 0. The determinant is shown by using the det command. Herewe attempt to find the inverse, shown below, of Matrix A. This results in the Singular Matrix error. This error also occurs if a calculation (typically a regression) produces a singular matrix. For more information on the algorithim used for calculating the Sine Regression please see Solution 11576: Algorithm Used for Calculating the Sine Regression.Please see the TI-83 family and TI-84 Plus family guidebooks for additional information. Note: TI-Nspire in TI-84 Plus mode users may refer to the TI-84 Plus family guidebook.

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Singular Matrix Error Python

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Science & Mathematics Social Science Society & Culture Sports Travel Yahoo Products International Argentina Australia Brazil Canada France singular matrix error matlab Germany India Indonesia Italy Malaysia Mexico New Zealand Philippines Quebec Singapore Taiwan Hong Kong Spain Thailand UK & Ireland Vietnam Espanol About About Answers Community Guidelines Leaderboard Knowledge Partners Points & https://epsstore.ti.com/OA_HTML/csksxvm.jsp?nSetId=93563 Levels Blog Safety Tips Education & Reference Homework Help Next Solving the 'error Singular Matrix' error? (Ti 89)? so I wanted to solve: A=[2 -1 1] [1 2 2] [2 -1 1] and B=[2] [3] [0] so I multiplied A^-1B (inverse) and I got error singular matrix error. How to I change the equation so that I can punch it into https://answers.yahoo.com/question/index?qid=20111206230402AAjuR4R my calculator? Calculator is a Ti-84 Silver Edition btw Follow 4 answers 4 Report Abuse Are you sure you want to delete this answer? Yes No Sorry, something has gone wrong. Trending Now Cara Delevingne Sasha Obama Joanna Gaines Joey Bosa Rush Limbaugh Rheumatoid Arthritis Symptoms Erykah Badu Fantasy Football Ana Ivanovic Garage Door Repair Answers Relevance Rating Newest Oldest Best Answer: So wait, do you have a TI-89 or a TI-84 Plus SE? Either way, you can't "change the equation" to make it work because matrix A has a determinant of zero, meaning it's not invertible (which is why you're getting Err:Singular Matrix). I assume you want to solve a linear system like Ax = B, where A, x, and B are all matrices. Normally what you could do is augment matrix B on to matrix A and then reduce this to reduced row-echelon form, but upon doing, you'll see that the last row of your matrix will be [0 0 0 1]. This implies that 0 = 1, which is not true, and therefore, the system is inconsistent a

solutions Boundary Conditions (2)Electromagnetics (1)Error Messages (77)Fluid Dynamics (2)General (7)Geometry (14)Import (15)Installation (59)Mesh (11)Physics (12)Postprocessing (1)Solver (21)Structural Mechanics (2) Solution Number: 953 Title: Error: Singular Matrix Platform: All Platforms https://www.comsol.com/support/knowledgebase/953/ Applies to: All Products Versions: All versions Categories: Error Messages Keywords: COMSOL Access http://stackoverflow.com/questions/13795682/numpy-error-singular-matrix You need to be logged in to COMSOL Access to be able to read this Knowledge Base solution. Log In Create an Access Account Forgot password? Email: Password: Remember me Did you forget your password? No problem. Enter your email address below and we will send you a link singular matrix to where you can set a new one. Note that you need to enter the email address that you signed up with. Email* Contact Information First Name* Last Name* Company/University* Title Department Address* City* Country* USA Canada ============= Afghanistan Albania Algeria Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize error singular matrix Benin Bermuda Bhutan Bolivia Bonaire Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territories British Virgin Islands Brunei Bulgaria Burkina Faso Burma Burundi C.A.R. Cambodia Cameroon Canada Canary Islands Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos Islands Colombia Comoros Congo Cook Islands Costa Rica Cote Divoire Croatia Cuba Curacao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Galapagos Islands Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo Kuala Lumpur Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island Norway Oman Pakistan Palau

here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Numpy error: Singular matrix up vote 3 down vote favorite 1 What does the error Numpy error: Matrix is singular mean specifically (when using the linalg.solve function)? I have looked on Google but couldn't find anything that made it clear when this error occurs. python numpy share|improve this question edited Jan 13 '15 at 8:23 strpeter 379522 asked Dec 10 '12 at 5:47 KaliMa 5051620 If you have a singular matrix, then it might indicate that you have some mistake in your matrix filling routine. If your matrix really is singular, then you may get some useful information about it using singular value decomposition. However in this case you need to have a good understanding of linear algebra and numerical computing concepts. –DaveP Dec 14 '12 at 4:56 add a comment| 1 Answer 1 active oldest votes up vote 8 down vote accepted A singular matrix is one that is not invertible. This means that the system of equations you are trying to solve does not have a unique solution; linalg.solve can't handle this. You may find that linalg.lstsq provides a usable solution. share|improve this answer answered Dec 10 '12 at 6:09 Michael J. Barber 15.8k63463 By "no unique solution" do you mean it may have multiple solutions? –KaliMa Dec 10 '12 at 6:37 @KaliMa That is what I mean. –Michael J. Barber Dec 10 '12 at 7:28 @MichaelJBarber Is there a way to get it to return all possible solutions? Is that what linalg.lstsq does? –KaliMa Dec 10 '12 at 14:07 1 @KaliMa When a system of equations is singular, it either has infinitely many solutions, or none - so no, in general you can't retrieve them all. Linal