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m ip_03_11.m

% MATLAB script for Illustrative Problem 3.11. % Demonstration script for frequency modulation. The message signal % is m(t)=sinc(100t). echo on t0=.2; % signal dura
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m ip_09_04.m

% MATLAB script for Illustrative Problem 9.4. echo on Lc=20; % number of chips per bit A1=3; % amplitude of the first sinusoidal interference A2=7; % amplitude of the second sinu
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m contents.m

% Kernel machines. % % extraction - (dir) Kernel feature extraction. % preimage - (dir) Pre-image problem for RBF kernel. % % diagker - Returns diagonal of kernel matrix. % dualcov - Dual
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m~ contents.m~

% Kernel machines. % % extraction - (dir) Kernel feature extraction. % preimage - (dir) Pre-image problem for RBF kernel. % % diagker - Returns diagonal of kernel matrix. % dualcov - Dual
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m fm_opfm.m

function fm_opfm %FM_OPFMR solves the OPF-based electricity market problem by means of % an Interior Point Method with a Merhotra Predictor-Corrector % or Newton direction technique.
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m my_yprime_m.m

function yp = yprime(t,y) % Differential equation system for restricted three body problem. % Think of a small third body in orbit about the earth and moon. % The coordinate system moves with the e
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m demhmc3.m

%DEMHMC3 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling. % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling X
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m demolgd1.m

%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling X
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m demgp.m

%DEMGP Demonstrate simple regression using a Gaussian Process. % % Description % The problem consists of one input variable X and one target variable % T. The values in X are chosen in two separated c
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m demhmc2.m

%DEMHMC2 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling. % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling X
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