Manual - Revision history

Peter: /* Example Code */

2021-07-07T15:22:31Z

Example Code

2020-11-05T05:11:05Z

Example Code

2018-09-29T15:03:59Z

2018-09-19T16:03:02Z

2017-09-18T15:19:28Z

Example Code

2017-05-18T17:42:42Z

External References

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2016-12-21T22:24:04Z

2015-04-01T03:26:03Z

2015-03-25T15:07:14Z

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 | [[Example Concurrent Operations|Concurrent Operations]] || X || ||
 |-
-| [[Example Graph Paths|Graph Paths]] || X || ||
+| [[Example Graph Paths|(GraphBLAS) Graph Paths]] || X || ||
 |-
 | [[Example Large Dense Matrices|Optimizing Large Dense]] || X || ||

@@ Line 90: / Line 90: @@
 |-
 | [[Example Complex Matrices|Complex Matrices]] || X || ||
 |}

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 * [http://groups.google.com/group/efficient-java-matrix-library-discuss Message Board]
-EJML is compatible with Java 1.7 and beyond.
+EJML is compatible with Java 1.8 and beyond.
 == The Interfaces ==

@@ Line 29: / Line 29: @@
 multTransB(c,H,S);
 addEquals(S,R);
-if( !invert(S,S_inv) ) throw new RuntimeException("Invert failed");
+if( !invert(S,S_inv) )
 multTransA(H,S_inv,d);
 mult(P,d,K);

@@ Line 69: / Line 69: @@
 |-
 | [[Example Kalman Filter|Kalman Filter]] || X || X || X
 |-
 | [[Example Levenberg-Marquardt|Levenberg-Marquardt]] || X ||  ||

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 Want to learn more about how EJML works to write more effective code and employ more advanced techniques?  Understand where EJML's logo comes from?  The following books are recommended reading and made EJML's early development possible.
 * Best introduction to the subject that balances clarity without sacrificing important implementation details:
-** [http://amzn.to/2hWEo8N Fundamentals of Matrix Computations by David S. Watkins]
+** Fundamentals of Matrix Computations by David S. Watkins
 * Classic reference book that tersely covers hundreds of algorithms
-** [http://amzn.to/2h3apra Matrix Computations by G. Golub and C. Van Loan]
+** Matrix Computations by G. Golub and C. Van Loan
 * Popular book on linear algebra
-** [http://amzn.to/2hbeGMG6 Linear Algebra and Its Applications by Gilbert Strang]
+** Linear Algebra and Its Applications by Gilbert Strang

@@ Line 1: / Line 1: @@
 = The Basics =
-What exactly is Efficient Java Matrix Library (EJML)?  EJML is a Java library for performing standard linear algebra operations on dense matrices.  Typically the list of standard operations is divided up unto basic (addition, subtraction, multiplication, ...etc), decompositions (LU, QR, SVD, ... etc), and solving linear systems.  A complete list of its core functionality can be found on the [[Capabilities]] page.
+Efficient Java Matrix Library (EJML) is a Java library for performing standard linear algebra operations on dense matrices.  Typically the list of standard operations is divided up unto basic (addition, subtraction, multiplication, ...etc), decompositions (LU, QR, SVD, ... etc), and solving linear systems.  A complete list of its core functionality can be found on the [[Capabilities]] page.
 This manual describes how to use and develop an application using EJML.  Other questions, like how to build or include it in your project, is provided in the list below.  If you have a question which isn't answered or is confusion feel free to post a question on the message board!  Instructions on how to use EJML is primarily done in this manual through example, see below.  The examples are selected from common real-world problems, such as Kalman filters.  Some times the same example is provided in three different formats using one of the three interfaces provided in EJML to help you understand the differences.

← Older revision		Revision as of 15:07, 25 March 2015
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	[[Performance\|Comparison of Interface Runtime Performance]]		[[Performance\|Comparison of Interface Runtime Performance]]
−
−	~~== Matrix Types ==~~
−
−	~~EJML provides support for the following matrix types:~~
−
−	* [http://ejml.org/javadoc/org/ejml/data/DenseMatrix64F.html Dense Real Float 64]
−	* [http://ejml.org/javadoc/org/ejml/data/CDenseMatrix64F.html Dense Complex Float 64]
−	* [[Example Fixed Sized Matrices\|Fixed Sized Real Float 64]]
−
−	~~Float 64 refers to it using 64bit floating point numbers otherwise known as a double in Java.~~

	= Tutorials =		= Tutorials =