Sequential

High-Level Synthesis for FPGA, Part 2 - Sequential Circuits  eBooks & eLearning

Posted by ELK1nG at April 8, 2021
High-Level Synthesis for FPGA, Part 2 - Sequential Circuits

High-Level Synthesis for FPGA, Part 2 - Sequential Circuits
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 102 lectures (9h 28m) | Size: 7.02 GB

Logic Design with Vitis-HLS

Fast Sequential Monte Carlo Methods for Counting and Optimization (Repost)  eBooks & eLearning

Posted by nebulae at July 13, 2017
Fast Sequential Monte Carlo Methods for Counting and Optimization (Repost)

Reuven Y. Rubinstein, "Fast Sequential Monte Carlo Methods for Counting and Optimization"
English | ISBN: 1118612264 | 2014 | 208 pages | PDF | 6 MB

Zemax/Opticstudio Programming (Zpl) For Non-Sequential Mode  eBooks & eLearning

Posted by Sigha at July 11, 2022
Zemax/Opticstudio Programming (Zpl) For Non-Sequential Mode

Zemax/Opticstudio Programming (Zpl) For Non-Sequential Mode
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 737.46 MB | Duration: 1h 22m

Quick Course on Zemax Programming Language (ZPL) for Non-Sequential Mode

An Introduction to Sequential Monte Carlo  eBooks & eLearning

Posted by AvaxGenius at Oct. 2, 2020
An Introduction to Sequential Monte Carlo

An Introduction to Sequential Monte Carlo by Nicolas Chopin
English | PDF,EPUB | 2020 | 390 Pages | ISBN : 3030478440 | 30 MB

This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis of data in such diverse fields as signal processing, epidemiology, machine learning, population ecology, quantitative finance, and robotics.

Fast Sequential Monte Carlo Methods for Counting and Optimization  eBooks & eLearning

Posted by nebulae at June 12, 2014
Fast Sequential Monte Carlo Methods for Counting and Optimization

Reuven Y. Rubinstein, "Fast Sequential Monte Carlo Methods for Counting and Optimization"
English | ISBN: 1118612264 | 2014 | 208 pages | PDF | 6 MB
Data Mining for Association Rules and Sequential Patterns: Sequential and Parallel Algorithms

Data Mining for Association Rules and Sequential Patterns: Sequential and Parallel Algorithms By Jean-Marc Adamo (auth.)
2001 | 254 Pages | ISBN: 1461265118 | PDF | 12 MB

Sequential Analysis  eBooks & eLearning

Posted by Free butterfly at Feb. 29, 2020
Sequential Analysis

Sequential Analysis by Abraham Wald
English | October 24, 2013 | ISBN: 0486615790 | 224 pages | MOBI | 5.16 Mb
Foundations in Comic Book Art: SCAD Creative Essentials (Fundamental Tools and Techniques for Sequential Artists)

Foundations in Comic Book Art: SCAD Creative Essentials (Fundamental Tools and Techniques for Sequential Artists) by John Paul Lowe
English | August 12th, 2014 | ISBN: 077043696X | 160 pages | EPUB | 108.85 MB

A comprehensive guide to creating and developing comic book and graphic novel art, from the Savannah College of Art and Design (SCAD), one of the world's leaders in sequential arts instruction.
Multiple-Valued Computing in Quantum Molecular Biology: Sequential Circuits, Memory Devices, Programmable Logic Devices, vol 2

Multiple-Valued Computing in Quantum Molecular Biology: Sequential Circuits, Memory Devices, Programmable Logic Devices, and Nanoprocessors, Volume 2
by Hafiz Md. Hasan Babu

English | 2023 | ISBN: 1032464879 | 521 pages | True PDF | 41.75 MB

Guide to Graph Algorithms: Sequential, Parallel and Distributed  eBooks & eLearning

Posted by AvaxGenius at April 14, 2018
Guide to Graph Algorithms: Sequential, Parallel and Distributed

Guide to Graph Algorithms: Sequential, Parallel and Distributed By K Erciyes
English | PDF,EPUB | 2018 | 475 Pages | ISBN : 331973234X | 17.38 MB

This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, and approximation algorithms and heuristics for such problems. The work also provides a comparative analysis of sequential, parallel and distributed graph algorithms – including algorithms for big data – and an investigation into the conversion principles between the three algorithmic methods.