DDogleg Numerics DDogleg Numerics

DDogleg Numerics is a high performance Java library for non-linear optimization, clustering, robust model fitting, polynomial root finding, sorting, and more. The API is designed to be user to use, without excessive abstraction often found in other libraries. The user is provided with the capability to have tight control over memory and CPU usage. Source code is publicly available and has been released under and Apache 2.0 license. November 29, 2016. RANSAC, LMedS, and some strange one.

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About Peter Abeles Peter Abeles 1.0 documentation

Peter Abeles is a San Francisco Bay Area based computer vision, robotics and software developer. He is currently splitting his time between developing a robust visual odometry solution and consulting. Non-linear optimization, clustering, robust model fitting, polynomial root finding, sorting, and more. Benchmark for Java linear algebra libraries. Automatically convert Java code written in doubles to floats.

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DDogleg Numerics DDogleg Numerics

DESCRIPTION

DDogleg Numerics is a high performance Java library for non-linear optimization, clustering, robust model fitting, polynomial root finding, sorting, and more. The API is designed to be user to use, without excessive abstraction often found in other libraries. The user is provided with the capability to have tight control over memory and CPU usage. Source code is publicly available and has been released under and Apache 2.0 license. November 29, 2016. RANSAC, LMedS, and some strange one.

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This web site ddogleg.org had the following in the homepage, "DDogleg Numerics is a high performance Java library for non-linear optimization, clustering, robust model fitting, polynomial root finding, sorting, and more." We noticed that the webpage stated " The API is designed to be user to use, without excessive abstraction often found in other libraries." It also said " The user is provided with the capability to have tight control over memory and CPU usage. Source code is publicly available and has been released under and Apache 2. RANSAC, LMedS, and some strange one."

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