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Coursera - Linear and Discrete Optimization

Posted By: ParRus
Coursera - Linear and Discrete Optimization

Coursera - Linear and Discrete Optimization
WEBRip | English | MP4 + work files | 960 x 540 | AVC ~147 kbps | 30 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English | ~9 hours | 1.3 GB
Genre: eLearning Video / Math, Discrete Optimization, Computer Science

This course serves as an introduction to linear and discrete optimization from the viewpoint of a mathematician or computer scientist. Besides learning how linear and discrete optimization can be applied, we focus on understanding methods that solve linear programs and discrete optimization problems in a mathematically rigorous way.
We will answer a questions like:

Does a particular method work correctly?
Does it terminate and, if yes, in what time?
Can we prove that a solution is optimal?
The course starts by discussing what a linear program is and how linear programming can be applied. Then, we will treat the simplex method and the theory of duality. We will then discuss some combinatorial optimization problems like maximum weight bipartite matching and maximum flows

The course constitutes about half of the material on linear and discrete optimization that is taught for mathematics and computer science undergraduates at EPFL and will feature video lectures, quizzes, programming assignments, and a final exam.

also You can watch my other last: Coursera-posts

General
Complete name : 04_Augmenting_the_dual_solution_16-27.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom
File size : 33.3 MiB
Duration : 16mn 27s
Overall bit rate : 283 Kbps
Writing application : Lavf53.29.100

Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : High@L3.1
Format settings, CABAC : Yes
Format settings, ReFrames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 16mn 27s
Bit rate : 147 Kbps
Width : 960 pixels
Height : 540 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 fps
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.009
Stream size : 17.3 MiB (52%)
Writing library : x264 core 120 r2120 0c7dab9
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x3:0x113 / me=hex / subme=7 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=1 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=12 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=250 / keyint_min=25 / scenecut=40 / intra_refresh=0 / rc_lookahead=40 / rc=crf / mbtree=1 / crf=28.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / ip_ratio=1.40 / aq=1:1.00

Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : 40
Duration : 16mn 27s
Bit rate mode : Constant
Bit rate : 128 Kbps
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 KHz
Compression mode : Lossy
Delay relative to video : -2ms
Stream size : 15.1 MiB (45%)
Screenshots

Coursera - Linear and Discrete Optimization

Coursera - Linear and Discrete Optimization

Coursera - Linear and Discrete Optimization

Coursera - Linear and Discrete Optimization

Coursera - Linear and Discrete Optimization

Coursera - Linear and Discrete Optimization

Coursera - Linear and Discrete Optimization

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Coursera - Linear and Discrete Optimization