Constrained minimum L1-norm solutions of linear equations
Finds least L1-norm solutions to linear equations C*x=d subject to linear and/or integer constraints.
This submission contains routines for finding the minimum L1-norm solution of the linear equations C*x=d, subject to linear and possibly integer constraints on the unknown parameter vector x. It is
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22 Aug 2024
Normalize XY coordinates to MATLAB figure window containing axis
COORD2NORM(axishandle, x, y) takes input XY coordinates, relative to the axes object axishandle, and normalizes them to the parent container of axishandle. This is useful for functions like
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Vector algebra for arrays of any size, with array expansion enabled
Multiple dot, cross, and outer products, cross divisions, norms, normalizations, projections, etc.
: CROSSOperation: ARRAYLAB implementation----------------------------------------------------Euclidean norm: MAGNNormalization: UNITDot product (AX enabled): DOT2Crossproduct (AX enabled): CROSS2Outerproduct (AX
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26 Feb 2009
Quadratic minimization with norm constraint
Minimizes convex or non-convex quadratics subject to (in)equality constraint on norm(x)
This routine minimizes an arbitrary quadratic function subject to a constraint on the l2-norm of the variables. The problem is of a form commonly encountered as a sub-problem in trust region
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Euclidian norm along a specified dim of an array - fast C-Mex
Fast euclidian norm over N.th dimension of a DOUBLE arrayY = DNorm2(X, N)INPUT: X: Real DOUBLE array. N: Dimension to operate on.OUTPUT: Y: Euclidian norm over N.th dimension: Y = sqrt(sum(X .* X
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Efficient Object-Oriented Kronecker Product Manipulation
A class for efficient manipulation of N-fold Kronecker products in terms of their operands only.
(.\), mldivide (\), mrdivide (/), inv, pinv, power, mpower, norm, sum, cond, eig, svd, abs, nnz, orth, chol, lu, qr, full, sparse, ... Some restrictions apply to these overloads. In particular
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Chebfun V4 - old version; please download current version instead
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geoscience-community-codes/GISMO
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Minimum Norm Algorithm for DOA Estimation
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Matrix completion using nuclear norm, spectral norm or weighted nuclear norm minimization.
Completes a matrix with missing entries, such that the obtained matrix has minimal norm.
Completes a matrix with missing entries, such that the obtained matrix has minimal norm.Usage:[CompletedMat, ier] = MatrixCompletion(A.*B, B,N, mode, lambda_tol, tol, display);A - matrix to completeB
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FOMCON toolbox for MATLAB is dedicated to fractional-order modeling and control of dynamic systems.
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Suite of functions for accessing the Binance API via MATLAB. Supports spot and margin trading and all public endpoints.
OCO's.cancelOrder - cancels an active order given a symbol and order id.newOrder - creates an object for making orders of a given orderType.normOrder - simple market order object for a given symbol, side and
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intensities (a.u.)Contents:- deconvolute3VtGUI.m - main GUI program for the deconvolution- the function that perform the deconvolution- voigtNormGLform.m - creates Voigt profile function corresponding with
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Companion Software
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Visualize matrix norms, SVD, and eigenvalues with a GUI!
far, my GUI helps you visualize three things:1. Matrix norm2. Singular value decomposition3. Eigenvalue decompositionThe GUI feels great if you have touchscreen and move the vectors with your finger
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Least squares with minimum-norm solution
Least squares with minimum-norm solution
This function calculates the minimum-norm solution of the least squares problem A*X = B. Where A is low-rank matrix. The function LSMIN is faster then the matlab alternative X = pinv(A)*B. Uses the
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Returns the vector norm for a specified dimension (e.g. row/col) of a matrix
% VNORM - Return the vector norm along specified dimension of A%% VNORM(A) returns the 2-norm along the first non-singleton% dimension of A% VNORM(A,dim) return the 2-norm along the dimension
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XML_GalYUMAT program reads the almanac from each satellite and writes it in YUMA format
.• initdata – function of initialization of arrays.• Galxml – startup file.• e_norm – mantissa normalization function.In order to start working with the program, you need:1. Go to the
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Updated LZW compressor and decompressor with reasonable performance
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A toolbox allowing rapid definition and evaluation of 2D and 3D phased array antennas.
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Face detection using L1 norm quantization
This is a code to detect faces using webcam input using L1 norm minimization criterion.
This uses L1 norm minimization to detect between faces and non faces. 6 faces are used for training and the usual pre-processing like skin detection. The threshold is placed at 0.2 but can be
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Submodular Function Optimization
This toolbox provides functions for maximizing and minimizing submodular set functions.
set V, and A must be a subset of V.Implemented algorithms:1) Minimization:* sfo_min_norm_point: Fujishige's minimum-norm-point algorithm for minimizing general submodular functions* sfo_queyranne
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