Fast Start Differential Equations

Fast Start Differential Calculus  eBooks & eLearning

Posted by DZ123 at Sept. 6, 2022
Fast Start Differential Calculus

Daniel Ashlock, Steven G. Krantz, "Fast Start Differential Calculus"
English | 2019 | ISBN: 1681736411, 1681736438 | PDF | pages: 236 | 0.6 mb

Applied Control Systems 3: Uav Drone (3D Dynamics & Control)  eBooks & eLearning

Posted by ELK1nG at Oct. 14, 2022
Applied Control Systems 3: Uav Drone (3D Dynamics & Control)

Applied Control Systems 3: Uav Drone (3D Dynamics & Control)
Last updated 8/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.96 GB | Duration: 27h 22m

Modeling + state space systems + Model Predictive Control + feedback control + Python simulation: UAV quadcopter drone

Deep Learning Architectures - 2023  eBooks & eLearning

Posted by BlackDove at Feb. 17, 2023
Deep Learning Architectures - 2023

Deep Learning Architectures - 2023
Updated 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 68 lectures • 42h 36m | Size: 25 GB


Machine Learning, Natural Language Processing, Computer Vision, Adversarial Learning, Neural Networks, NLP

Algebra For Calculus, Trigonometry,Geometry,Physics Students  eBooks & eLearning

Posted by Sigha at Dec. 14, 2022
Algebra For Calculus, Trigonometry,Geometry,Physics Students

Algebra For Calculus, Trigonometry,Geometry,Physics Students
Last updated 3/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.02 GB | Duration: 1h 54m

Useful in Calculus, Trigonometry, Geometry, Physics, Chemistry, Test prep like SAT, ACT, GRE, GMAT, Coding, Programming

Coursera - Robotics: Aerial Robotics (University of Pennsylvania)  eBooks & eLearning

Posted by ParRus at April 26, 2020
Coursera - Robotics: Aerial Robotics (University of Pennsylvania)

Coursera - Robotics: Aerial Robotics (University of Pennsylvania)
WEBRip | English | MP4 | 1280 x 720 | VP8 ~164 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | ~8 hours | 980 MB
Genre: eLearning Video / Science, Engineering, Robotics

How can we create agile micro aerial vehicles that are able to operate autonomously in cluttered indoor and outdoor environments? You will gain an introduction to the mechanics of flight and the design of quadrotor flying robots and will be able to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments.

Towing icebergs, falling dominoes, and other adventures in applied mathematics  eBooks & eLearning

Posted by insetes at April 8, 2019
Towing icebergs, falling dominoes, and other adventures in applied mathematics

Towing icebergs, falling dominoes, and other adventures in applied mathematics By Robert Banks
1998 | 342 Pages | ISBN: 0691059489 | DJVU | 4 MB

Simulation and Inference for Stochastic Processes with YUIMA (Repost)  eBooks & eLearning

Posted by AvaxGenius at Aug. 23, 2018
Simulation and Inference for Stochastic Processes with YUIMA (Repost)

Simulation and Inference for Stochastic Processes with YUIMA: A Comprehensive R Framework for SDEs and Other Stochastic Processes By Stefano M. Iacus
English | PDF,EPUB | 2018 | 277 Pages | ISBN : 3319555677 | 12.31 MB

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central statistical analyses such as quasi maximum likelihood estimation, adaptive Bayes estimation, structural change point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on.

Simulation and Inference for Stochastic Processes with YUIMA  eBooks & eLearning

Posted by AvaxGenius at June 4, 2018
Simulation and Inference for Stochastic Processes with YUIMA

Simulation and Inference for Stochastic Processes with YUIMA: A Comprehensive R Framework for SDEs and Other Stochastic Processes By Stefano M. Iacus
English | PDF,EPUB | 2018 | 277 Pages | ISBN : 3319555677 | 12.31 MB

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central statistical analyses such as quasi maximum likelihood estimation, adaptive Bayes estimation, structural change point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on.

Simulation and Inference for Stochastic Processes with YUIMA (Repost)  eBooks & eLearning

Posted by AvaxGenius at July 22, 2018
Simulation and Inference for Stochastic Processes with YUIMA (Repost)

Simulation and Inference for Stochastic Processes with YUIMA: A Comprehensive R Framework for SDEs and Other Stochastic Processes By Stefano M. Iacus
English | PDF,EPUB | 2018 | 277 Pages | ISBN : 3319555677 | 12.31 MB

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central statistical analyses such as quasi maximum likelihood estimation, adaptive Bayes estimation, structural change point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on.

Simulation and Inference for Stochastic Processes with YUIMA (Repost)  eBooks & eLearning

Posted by AvaxGenius at Aug. 8, 2018
Simulation and Inference for Stochastic Processes with YUIMA (Repost)

Simulation and Inference for Stochastic Processes with YUIMA: A Comprehensive R Framework for SDEs and Other Stochastic Processes By Stefano M. Iacus
English | PDF,EPUB | 2018 | 277 Pages | ISBN : 3319555677 | 12.31 MB

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central statistical analyses such as quasi maximum likelihood estimation, adaptive Bayes estimation, structural change point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on.