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[Wolfram Mathematica][v11.2.0][Eng][Win&MacOS&Linux]
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| 文件名: |
ZiJingBT.Mathematica.v11.2.0.torrent |
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| 种子名称: |
Mathematica.v11.2.0 |
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| 信息: |
大小:
11.41 GB | 文件数:
8 | Info Hash:
714fec9f3302ba5d349fe98d449ed2e595d3432a |
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| 类别: |
软件 | 由 131210004 (广大站友) 上传于 2017-10-01 01:35:19 |
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| 活跃度: |
做种(1)/下载(0) | 完成下载 (174) (最近一次活动时间 2020-11-21 21:09:33 / 种子活动时间 2020-11-21 21:09:33) |
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| 内容简介: |
Mathematica 11.2.0
Mathematica是一款科学计算软件，很好地结合了数值和符号计算引擎、图形系统、编程语言、文本系统、和与其他应用程序的高级连接。很多功能在相应领域内处于世界领先地位，它也是使用最广泛的数学软件之一。Mathematica的发布标志着现代科技计算的开始。Mathematica是世界上通用计算系统中最强大的系统。自从1988发布以来，它已经对如何在科技和其它领域运用计算机产生了深刻的影响。
Mathematica 和 MATLAB、Maple 并称为三大数学软件。
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发布时间：2017.9.14
11.2更新内容：
引用: Mathematica 11.2 is now available! This latest version expands Mathematica's cutting-edge functionality in audio and image processing, mathematical computation and machine learning—plus much more. Here are some of the highlights:
Audio and Image Processing
Generate spoken audio in different voices with SpeechSynthesize
The Audio framework now has stereo support, programmatic playback and new AudioStream objects
Alter one image to look more like another with ImageRestyle
Use CurrentScreenImage or CurrentNotebookImage to capture the current screen or notebook
Generate 2D and 3D raster images from geometric regions with RegionImage
Retrieve satellite images of a geographic area with GeoImage
Mathematical Computation
Limit can now calculate undirected, nested and multivariate limits
RSolveValue and DSolveValue can now compute limiting values directly
Additional functions and operators for calculating limits: MinLimit, MaxLimit, DiscreteLimit, etc.
Support for 3D Boolean operations through RegionUnion, RegionIntersection, etc.
Machine Learning
Classify and Predict have new training methods, built-in models, progress reporting and TimeGoal for limiting training times
New feature types for extracting audio, sequences and word vectors from data
WMLF and MXNet formats for import/export of neural networks and other machine learning models
Expanded options and methods for various neural network layer types
Version 11.2 also includes a number of new import/export formats, interpreter types and low-level performance optimizations. Programming is more flexible than ever with new functionality for initialization, background tasks and network programming, as well as new interfaces for external interpreted languages.
For more details about these and other new additions, read through Stephen Wolfram's launch-day blog post and take a look at the Summary of New Features in 11.2. |
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| 感谢者: |
葛荣存, 魏志凌, asdgy12245f, 董听, 大忍崛起, c131120099j, 慵懒的猫, rai, aegisstrike, wxz0, clark06, SmallKing, hsus , Hsinchu, TimeTraveler, zamlty, 徐文昕, hengxin1102, liemk, Steve_S, 冰墨魂, qf129, iammartin, 张扬, 许黎之
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