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Mathimatics-Numerical algorithms list
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sine wave
Downloaded:1
one dimesiion wave equation
Date
: 2025-07-22
Size
: 1kb
User
:
mayvlor
MovieLens-RecSys-python2
Downloaded:0
Implementation of collaborative filtering based on UCF/ICF
Date
: 2025-07-22
Size
: 5.74mb
User
:
dohuasinan
dat file
Downloaded:0
fuzzy test file *.rar type
Date
: 2025-07-22
Size
: 1kb
User
:
kenankeskin
mech_transmission
Downloaded:0
The driveline of a car should ensure that the vehicle has the necessary traction and speed when driving under all kinds of driving conditions, as well as the coordination between traction and speed. This document is the
Date
: 2025-07-22
Size
: 755kb
User
:
天上的星星
赫夫曼算法C++
Downloaded:0
Huffman compression algorithm C++
Date
: 2025-07-22
Size
: 392kb
User
:
12xx11
RANSAC-Toolbox-master
Downloaded:0
RANSAC algorithms are often used in computer vision. For example, in the field of stereoscopic vision, a matching problem of a pair of cameras and a calculation of a basic matrix are simultaneously solved.
Date
: 2025-07-22
Size
: 132kb
User
:
shiwel
lagrange
Downloaded:0
Lagrange interpolation can find a polynomial, which happens to take the observed value at each observation point. Such polynomials are called Lagrange polynomials. Mathematically, Lagrange interpolation can give a polyno
Date
: 2025-07-22
Size
: 2kb
User
:
shiwel
zuoye
Downloaded:0
plot figure Create uicontrols to allow users to adjust the appearance of a plot. For instance, create a program file called myui.m that contains the following code.
Date
: 2025-07-22
Size
: 1kb
User
:
地大物博LC
c130
Downloaded:0
changing orientation of c130 in matlab
Date
: 2025-07-22
Size
: 3kb
User
:
sparklytopaz
testing
Downloaded:0
the code of signal-reading
Date
: 2025-07-22
Size
: 424kb
User
:
香草味i
kruskal
Downloaded:0
Kruskal algorithm, the vector that requires the input edge and the weight value. M multiplied by the M size of the upper trigonometric matrix with the vertex number of M, And the weight of the relation between the vertic
Date
: 2025-07-22
Size
: 1kb
User
:
海底月
arimanet
Downloaded:0
To address time consuming and parameter sensitivity in the emerging decomposition- ensemble models, this paper develops a non-iterative learning paradigm without iterative training process.
Date
: 2025-07-22
Size
: 1kb
User
:
luc1fer
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