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dpr ex.dpr

{ Simulate It's an interesting problem Main difficulty is how to avoid the iterate in single and double quotes. Use variables instead of quotes. } program Ural_1230(Input,Output); const
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dpr ex.dpr

{ After passing edge in obverse the edge in reverse must be gone though, vice versa. It like the indegree and the outdegree. In Euler Problem, we only pay attention to the absolute value of Inde
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m fm_opfsdr.m

function fm_opfsdr %FM_OPFSDR solve the OPF-based electricity market problem by means of % an Interior Point Method with a Merhotra Predictor-Corrector % or Newton direction techniq
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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 samplin
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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 sampli
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m demkmn1.m

%DEMKMEAN Demonstrate simple clustering model trained with K-means. % % Description % The problem consists of data in a two-dimensional space. The data is % drawn from three spherical Gaussian di
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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 separat
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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 samplin
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m demmlp2.m

%DEMMLP2 Demonstrate simple classification using a multi-layer perceptron % % Description % The problem consists of input data in two dimensions drawn from a % mixture of three Gaussians: two of w
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m demo.m

% % DEMONSTRATION OF ADABOOST_tr and ADABOOST_te % % Just type "demo" to run the demo. % % Using adaboost with linear threshold classifier % for a two class classification problem. % % Bug Reporting:
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