Carlo Cresti And Massimo Listri Villas OF Tuscany
Jello Biafra And The Guantanamo School Of Medicine - White People And The Damage Done (2013) Music
Posted by popsakov at Jan. 24, 2024
Jello Biafra And The Guantanamo School Of Medicine - White People And The Damage Done (2013)
EAC Rip | FLAC (Img) + Cue + Log ~ 576 Mb | MP3 CBR320 ~ 205 Mb
Full Scans | 01:17:21 | RAR 5% Recovery
Punk Rock, Hardcore Punk, Rockabilly | Alternative Tentacles #VIRUS 450
EAC Rip | FLAC (Img) + Cue + Log ~ 576 Mb | MP3 CBR320 ~ 205 Mb
Full Scans | 01:17:21 | RAR 5% Recovery
Punk Rock, Hardcore Punk, Rockabilly | Alternative Tentacles #VIRUS 450
Still disenfranchised about American society and riled up about it, the former Dead Kennedys singer takes issue with Wall Street, Hollywood, consumer nature, fast food, and white people in general on Jello Biafra & the Guantanamo School of Medicine's third album, White People & the Damage Done. Backed by a musically fierce band that includes Ween/Butthole Surfers bassist Andrew Weiss, drummer Paul Della Pelle, and guitarists Ralph Spight and Kimo Ball, the 54-year-old frontman sounds as spirited as he did in his early days. In fact, for the fast, furious "Road Rage" and "Mid-East Peace Process," he and his band match the blistering energy of early-'80s American hardcore staples like Black Flag (good to see that Keith Morris' OFF! isn't the only group carrying the torch) and, yes, the Kennedys.
Der Blutharsch and the Infinite Church of the Leading Hand - What Makes You Pray (2017) Music
Posted by delpotro at Feb. 23, 2021
Der Blutharsch and the Infinite Church of the Leading Hand - What Makes You Pray (2017)
EAC Rip | FLAC (tracks+log+.cue) - 226 Mb | MP3 CBR 320 kbps - 106 Mb | 00:46:03
Experimental Rock, Electronic, Krautrock, Female Vocal | Label: Urtod Void
EAC Rip | FLAC (tracks+log+.cue) - 226 Mb | MP3 CBR 320 kbps - 106 Mb | 00:46:03
Experimental Rock, Electronic, Krautrock, Female Vocal | Label: Urtod Void
This band again deals multiple influences, which in the end makes the sound hard to define. It sounds dark and into bombast arrangements, sometimes reminding me of the mysterious and somewhat ritual style of The Virgin Prunes, but then also more into psychedelic treatments. The vocals of Marthynna remain pretty intriguing and only accentuating the occult side of the sound.
Siena & the Heart of Tuscany (Footprint - Pocket Guides) eBooks & eLearning
Posted by insetes at Dec. 3, 2022
Siena & the Heart of Tuscany (Footprint - Pocket Guides) By Rebecca Ford
2005 | 256 Pages | ISBN: 1904777325 | PDF | 69 MB
2005 | 256 Pages | ISBN: 1904777325 | PDF | 69 MB
Jerry Weldon and Massimo Farao' - What's New (2017) SACD ISO + DSD64 + Hi-Res FLAC Vinyl & HR
Posted by HDAtall at March 2, 2024
Jerry Weldon & Massimo Faraò - What's New (2017) [Japan]
SACD Rip | SACD ISO | DSD64 2.0 > 1-bit/2.8224 MHz | 50:19 minutes | Front/Rear Covers | 1,46 GB
or DSD64 2.0 (from SACD-ISO to Tracks.dsf) > 1-bit/2.8224MHz | Front/Rear Covers | 1,29 GB
or FLAC (carefully converted & encoded to tracks) 24bit/96 kHz | Front/Rear Covers | 1,04 GB
This collaboration between wonderful Italian pianist Massimo Farao' and veteran of the New York jazz scene, tenor sax man Jerry Weldon features 1930's & '40s Standards on SACD.
Random Number Generation and Monte Carlo Methods eBooks & eLearning
Posted by AvaxGenius at June 20, 2024
Random Number Generation and Monte Carlo Methods by James E. Gentle
English | PDF | 1998 | 252 Pages | ISBN : N/A | 23.3 MB
The role of Monte Carlo methods and simulation in all of the sciences has in creased in importance during the past several years. These methods are at the heart of the rapidly developing subdisciplines of computational physics, compu tational chemistry, and the other computational sciences. The growing power of computers and the evolving simulation methodology have led to the recog nition of computation as a third approach for advancing the natural sciences, together with theory and traditional experimentation. Monte Carlo is also a fundamental tool of computational statistics. At the kernel of a Monte Carlo or simulation method is random number generation. Generation of random numbers is also at the heart of many standard statis tical methods. The random sampling required in most analyses is usually done by the computer. The computations required in Bayesian analysis have become viable because of Monte Carlo methods. This has led to much wider applications of Bayesian statistics, which, in turn, has led to development of new Monte Carlo methods and to refinement of existing procedures for random number generation.
Random Number Generation and Monte Carlo Methods eBooks & eLearning
Posted by AvaxGenius at June 20, 2024
Random Number Generation and Monte Carlo Methods by James E. Gentle
English | PDF | 1998 | 252 Pages | ISBN : N/A | 23.3 MB
The role of Monte Carlo methods and simulation in all of the sciences has in creased in importance during the past several years. These methods are at the heart of the rapidly developing subdisciplines of computational physics, compu tational chemistry, and the other computational sciences. The growing power of computers and the evolving simulation methodology have led to the recog nition of computation as a third approach for advancing the natural sciences, together with theory and traditional experimentation. Monte Carlo is also a fundamental tool of computational statistics. At the kernel of a Monte Carlo or simulation method is random number generation. Generation of random numbers is also at the heart of many standard statis tical methods. The random sampling required in most analyses is usually done by the computer. The computations required in Bayesian analysis have become viable because of Monte Carlo methods. This has led to much wider applications of Bayesian statistics, which, in turn, has led to development of new Monte Carlo methods and to refinement of existing procedures for random number generation.
MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo eBooks & eLearning
Posted by AvaxGenius at Oct. 23, 2022
MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo by Masanori Hanada, So Matsuura
English | PDF,EPUB | 2022 | 198 Pages | ISBN : 9811927146 | 29.3 MB
This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge of mathematics and programming. MCMC is a powerful technique that can be used to integrate complicated functions or to handle complicated probability distributions. MCMC is frequently used in diverse fields where statistical methods are important – e.g. Bayesian statistics, quantum physics, machine learning, computer science, computational biology, and mathematical economics. This book aims to equip readers with a sound understanding of MCMC and enable them to write simulation codes by themselves.
Random Number Generation and Monte Carlo Methods eBooks & eLearning
Posted by AvaxGenius at June 20, 2024
Random Number Generation and Monte Carlo Methods by James E. Gentle
English | PDF | 1998 | 252 Pages | ISBN : N/A | 23.3 MB
The role of Monte Carlo methods and simulation in all of the sciences has in creased in importance during the past several years. These methods are at the heart of the rapidly developing subdisciplines of computational physics, compu tational chemistry, and the other computational sciences. The growing power of computers and the evolving simulation methodology have led to the recog nition of computation as a third approach for advancing the natural sciences, together with theory and traditional experimentation. Monte Carlo is also a fundamental tool of computational statistics. At the kernel of a Monte Carlo or simulation method is random number generation. Generation of random numbers is also at the heart of many standard statis tical methods. The random sampling required in most analyses is usually done by the computer. The computations required in Bayesian analysis have become viable because of Monte Carlo methods. This has led to much wider applications of Bayesian statistics, which, in turn, has led to development of new Monte Carlo methods and to refinement of existing procedures for random number generation.
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues eBooks & eLearning
Posted by AvaxGenius at Aug. 16, 2024
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues by Pierre Brémaud
English | PDF | 1999 | 456 Pages | ISBN : 0387985093 | 33.7 MB
In this book, the author begins with the elementary theory of Markov chains and very progressively brings the reader to the more advanced topics. He gives a useful review of probability that makes the book self-contained, and provides an appendix with detailed proofs of all the prerequisites from calculus, algebra, and number theory. A number of carefully chosen problems of varying difficulty are proposed at the close of each chapter, and the mathematics are slowly and carefully developed, in order to make self-study easier. The author treats the classic topics of Markov chain theory, both in discrete time and continuous time, as well as the connected topics such as finite Gibbs fields, nonhomogeneous Markov chains, discrete- time regenerative processes, Monte Carlo simulation, simulated annealing, and queuing theory. The result is an up-to-date textbook on stochastic processes. Students and researchers in operations research and electrical engineering, as well as in physics and biology, will find it very accessible and relevant.
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues eBooks & eLearning
Posted by AvaxGenius at Aug. 16, 2024
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues by Pierre Brémaud
English | PDF | 1999 | 456 Pages | ISBN : 0387985093 | 33.7 MB
In this book, the author begins with the elementary theory of Markov chains and very progressively brings the reader to the more advanced topics. He gives a useful review of probability that makes the book self-contained, and provides an appendix with detailed proofs of all the prerequisites from calculus, algebra, and number theory. A number of carefully chosen problems of varying difficulty are proposed at the close of each chapter, and the mathematics are slowly and carefully developed, in order to make self-study easier. The author treats the classic topics of Markov chain theory, both in discrete time and continuous time, as well as the connected topics such as finite Gibbs fields, nonhomogeneous Markov chains, discrete- time regenerative processes, Monte Carlo simulation, simulated annealing, and queuing theory. The result is an up-to-date textbook on stochastic processes. Students and researchers in operations research and electrical engineering, as well as in physics and biology, will find it very accessible and relevant.