how koch curve algorithm works?
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The Koch curve has an infinite length, because the total length of the curve increases by a factor of 43 with each iteration. Each iteration creates four times as many line segments as in the previous iteration, with the length of each one being 13 the length of the segments in the previous stage.
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(t-SNE) t-Distributed Stochastic Neighbor Embedding is a non-linear dimensionality reduction algorithm used for exploring high-dimensional data. ... With help of the t-SNE algorithms, you may have to plot fewer exploratory data analysis plots next time you work with high dimensional data.
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['d = c / π d=c/\\pi d=c/π', 'd = 2 r d = 2r d=2r.', 'a = π ( d / 2 ) 2 a = \\pi (d/2)^2 a=π(d/2)2.']
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['It should be simple to understand.', 'It should be easy to compute.', 'It should be rigidly defined.', 'It should be based on each and every item of the distribution.', 'It should have sampling stability.', 'It should not be affected by the extreme items.']
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['class SVM:def fit(self, X, y): n_samples, n_features = X.shape# P = X^T X. ... ', 'X, y = make_blobs(n_samples=250, centers=2, random_state=0, cluster_std=0.60)y[y == 0] = -1tmp = np.ones(len(X))y = tmp * y.', 'def f(x, w, b, c=0): ... ', "plt.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap='winter');"]
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['Odd. End behavior go in different directions. If a function is positive, the left side of the graph will point down and the right side will point up (increasing from left to right). ... ', 'Straight line. Constant. Has a slope.']
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1 Blending functions. Blending functions interpolate the unknown in such a way as to satisfy exactly its variations along the edges of a square domain. If the coordinates and are used in a parametric expression of the type given in Eq. (6.19), then any complex shape can be mapped by a single element.
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The GCD gives an exact figure of rotation to be performed. It actually minimizes no of rotations. As per my understanding following implementation done for juggling algorithm, but what happens when length in 13 and rotation is 3 so GCD will become invalid, so splitting into the step also causes the problem.
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In bisection method an average of two independent variables is taken as next approximation to the solution while in false position method a line that passes through two points obtained by pair of dependent and independent variables is found and where it intersects abissica is takent as next approximation.
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The slope of the tangent to a velocity-time graph indicates acceleration. ( Instantaneous)
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Koch's postulates are as follows: The bacteria must be present in every case of the disease. The bacteria must be isolated from the host with the disease and grown in pure culture. The specific disease must be reproduced when a pure culture of the bacteria is inoculated into a healthy susceptible host.
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The nls function uses a relative-offset convergence criterion that compares the numerical imprecision at the current parameter estimates to the residual sum-of-squares. This performs well on data of the form y=f(x,θ)+ϵ (with var(eps) > 0 ).
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A depth-first iterative-deepening algorithm is shown to be asymptotically optimal along all three dimensions for exponential tree searches. The algorithm has been used successfully in chess programs, has been effectively combined with bi-directional search, and has been applied to best-first heuristic search as well.
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In Value Iteration - You randomly select a value function , then find a new (improved) value function in an iterative process, until reaching the optimal value function , then derive optimal policy from that optimal value function . Policy iteration works on principle of “Policy evaluation —-> Policy improvement”.
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['You can use a modified version of the Newton-Raphson method for finding the intersection of two parameterized curves, provided the parameter functions defining the curves can be differentiated. ... ', 'Let x1 = f1(t1), y1 = g1(t1) define one curve and x2 = f2(t2), y2 = g2(t2) define the second curve.']
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Quadratic, cubic and exponential graphs are three different types of curved graphs. We can use them to solve equations relating to the graph.
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Description. example. [ z , p , k ] = tf2zpk( b , a ) finds the matrix of zeros z , the vector of poles p , and the associated vector of gains k from the transfer function parameters b and a . The function converts a polynomial transfer-function representation.